Search results for "Analytics "

We are looking for an Analytics Manager to join Wolt’s Courier and Logistics Analytics team! What you’ll be doing As an Analytics Manager at Wolt, you’ll take charge of the Courier and Logistics domain, balancing hands-on analytics work with people management responsibilities. Experience in pricing and/or supply management domains would be a significant advantage. In Wolt’s fast-paced, three-sided marketplace, you’ll find a demanding yet rewarding environment to support the business in it’s ambitious growth plans and hone your modern analytics skills. You will have the opportunity to… Lead and grow a team of data scientists Set the strategic direction for analytical work within the Courier and Logistics domain Establish a solid data and experimentation culture with your Product and operational stakeholders Coach your team and participate hands-on in developing new metrics and conducting analytical deep dives to drive the strategy for the business Uncover foundational causal relationships in our data that can help us to understand our business Drive strategic decision-making within the whole Courier Group This role combines scientific expertise with stakeholder engagement, placing you at the forefront of driving business outcomes. You will collaborate closely with the Product, Engineering, Design, and Operations teams to guide measurement strategies and tactical decisions, helping to expand the Wolt platform globally. Our humble expectations 6+ years of experience in a data science or analytics position 2+ years of experience in team leadership* with some flexibility depending on the candidate Expertise in statistical analysis, including hypothesis testing, experimentation, and regression analysis using statistical software packages in Python, Matlab, R, or equivalent Proficiency in writing structured and efficient SQL queries for large data sets Relentless pursuit of new ideas and data sources, and have the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach What we offer The online delivery platform that Wolt is scaling will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to develop your career in analytics! You have the chance to decide the ways of working: hybrid, at the office, or remote within Berlin, Stockholm, or Helsinki. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE As an Analytics Engineer in the Analytics Foundation team, you help the whole company use data with confidence. You sit in a small team with real ownership: we shape how analytics engineering is done here, not only what gets built. You will make architectural decisions for data modelling and set the bar for quality, maintainability, and how we work. This is not a role where you only implement models from a backlog of “orders”; you partner with the business and with technical teams, surface trade-offs when needed, and help prioritise work that compounds. We spend most of our time on larger initiatives that improve the platform and how people use data, rather than reacting to a constant stream of ad-hoc questions. The team has a high degree of autonomy over its agenda, little firefighting, and we have invested for years in automating repetitive work so we can focus on impact. You will work hands-on with modern data tooling and with AI-assisted workflows, including coding agents and agent-style automation where they genuinely speed up design, review, and deliver, while staying responsible for correctness, governance, and clarity for stakeholders. You will develop and maintain core models, quality practices, and governance; support the warehouse and pipelines; and help teams get the most from BI and GTM tooling. Tools in our stack include Snowflake, dbt core, Hex, Prefect, Fivetran, and Hightouch (among others). KEY RESPONSIBILITIES: * Design, own, and evolve core data models and the modelling architecture; including how they connect to pipelines, freshness, and operational reliability in the warehouse. * Empower the organization to use and interpret data. * Partner with business and technical stakeholders from problem framing to shipped artefacts: clarify requirements, suggest better approaches when a request would not scale, and drive or co-drive cross-team initiatives that improve how data is used. * Collaborate closely with other data professionals; this includes giving actionable feedback in code reviews as well as actively supporting with data modeling  * Combine subject matter expertise and a high level business understanding to contribute to the direction and strategy for Mentimeter in the realm of data modeling, AI-Analysis, BI-tooling and data activation in GTM-Tooling. * Develop, own and maintain data modeling standards and the data development experience * Improve how we work at scale: thoughtful automation and AI-assisted engineering (e.g. coding agents and repeatable workflows) with human accountability for correctness and compliance. * Maintain and grow how knowledge is surfaced, e.g in semantic models, a data catalog, or documentation WE BELIEVE YOU HAVE: * Roughly 4-7 years of relevant hands-on experience as an Analytics Engineer, Data Analyst, Data Scientist, BI Analyst, or similar (or equivalent depth if your path is non-linear). * Strong SQL and sound judgment in data modelling (grain, reusability, naming, and how metrics should behave). * Experience partnering across departments, including leading or co-leading cross-functional work that shipped something others use. * Strong business acumen with an understanding of sales, marketing, and product analytics. * Ability to map ambiguous stakeholder needs to clear, maintainable models and artefacts. * Experience with BI-tools and development of BI features  * Knowledge of software collaboration using git. * Communication in English with both technical and non-technical audiences; interest in helping others grow their data skills. * Experience working with GDPR-sensitive data and collaborating with legal experts on compliance assessments. IT IS BENEFICIAL IF YOU HAVE: * Hands-on experience with dbt (or similar) * Experience with a semantic or metrics layer * Experience using AI-assisted coding or coding agents in a disciplined way (reviews, tests, documentation), with clear judgment about automation vs verification for production data work. * Professional experience working in an agile environment NOT REQUIRED: * Swedish is not required (daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities). * A cover letter is not required as part of your application ---------------------------------------------------------------------------------------------------------------------------------- 📍 LOCATION: This is primarily an onsite role located at Mentimeter HQ in Stockholm, with a hybrid approach and ability to work from home up to twice per week. Please note that we do not offer visa relocation sponsorship for this position.   💡OUR RECRUITMENT PROCESS: 1. Introduction interview 2. Competence interview, including a live case. 3. Culture interview 4. References & Offer ---------------------------------------------------------------------------------------------------------------------------------- Compensation: At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is SEK 50,000–SEK 68,000 per month. It’s intentionally broad to reflect the different stages of growth within the role: from early development to deep expertise and meaningful impact. Where an individual is placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your salary will evolve as you build skills and contribute to our mission. In addition to your monthly salary, we offer a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm.  What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. *  There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

Join Telavox as an Analytics Engineer 📊 At Telavox, a data point is only as valuable as the trust people place in it. As our Analytics Engineer, you will own the full lifecycle of that data point, from raw backend event all the way to the dashboard where an executive acts. You are the person who makes sure the numbers leadership sees are the right ones, and that the path from raw event to insight is modeled, tested, and trustworthy. We think of this role as the organisation's librarian: data at Telavox should not just be available, it should be findable, well-defined, and ready to use. If you like the craft of making data genuinely useful and you want to own it from pipeline to prototype, this role is built for you. About the job You will be responsible for making data real across the organisation, building and maintaining the pipelines, models, and datasets that analysts and business leaders depend on every day. Your day-to-day work includes: Own the dbt project: transform raw data into staged, modeled, documented, and tested tables across bronze, silver, and gold layers Design and evolve data marts that encode real Telavox business logic in ways that survive org and product changes Operate our CDC pipelines, monitor health, respond to failures, and manage BigQuery cost and performance Build and maintain the semantic layer that powers self-service and agentic analytics Partner with analysts and business stakeholders to turn questions into durable data products rather than one-off reports This role is based at our new HQ in Malmö. About you This role sits closer to data engineering than classic BI. Your centre of gravity is the backend: ingestion pipelines, GCP, SQL performance, and change data capture. You will take on real data engineering responsibilities; this is not a role that hands off to a separate platform team. That said, you are not only a backend engineer. You can move up the stack when needed, spinning up a dashboard to validate data with stakeholders and close the feedback loop on your models. You are pragmatic and ownership-minded, taking pride in end-to-end delivery. You are comfortable speaking business with a Sales Lead and SQL with a Developer in the same afternoon, and you are always focused on making data genuinely useful to the people who depend on it. We are also looking for someone genuinely curious about AI, eager to help shape how Claude and similar tools fit into analytics engineering and bring a point of view on where AI adds real leverage and where it does not. We are looking for someone with: Advanced SQL and strong dbt fundamentals, including incremental models, snapshots, tests, and macros Solid BigQuery knowledge across partitioning, clustering, cost controls, and performance tuning Experience building dimensional models or equivalent analytical schemas Ability to translate business questions into durable data models, and to push back when the question is wrong Working Python for tooling, scripts, and operational tasks Experience with CDC concepts, Fivetran, or a semantic layer such as Cube or MetricFlow is a strong plus Fluent English, written and spoken. Swedish is a plus Join us at Telavox💚 Since Telavox's journey started in 2002, we have strengthened our position as the leading forward-thinking communication platform for businesses. As a digital mobile operator, we develop and own our all-in-one communication platform, which integrates telephony, PBX, messaging, meetings, and contact centers, giving businesses a smarter way to connect. Today, we’re a thriving company with 1.9 billion SEK in revenue and 500+ Telavoxers across nine countries. We embrace AI and automation to push the boundaries of business communication. We offer flexible work options and adaptable hours, giving you the freedom to balance life and career while staying connected to our vibrant Telavox culture. Read more about our new HQ in Malmö 🏠! How to apply! At Telavox, we don't focus on fitting in; we focus on making room for everyone. We’re always on the lookout for great talent, so applications are reviewed continuously. If you're ready to be part of an innovative, AI-driven telecom company, apply today with your CV and cover letter in English.  For any questions, feel free to reach out to Talent Acquisition Partner Ami Faraguna at ann-marie.faraguna@telavox.com Learn more about what we do! ⬇️

Are you a skilled Analytics Engineer with a passion for transforming raw data into high-quality, actionable insights? Join Sweden's largest property portal to design the data solutions that power our business decisions. As the most popular real estate portal in Sweden, Hemnet receives over 40 million visits every month from people looking for their next home. We are a data-heavy organization, and we strive to make data-informed decisions the standard for everything we do. About the role 🍏 As an Analytics Engineer, you will be a key player in our journey to empower the organization to become more data-driven. Sitting within the Analytics team, you will act as a vital bridge between raw data and meaningful business logic. Because this role connects technical infrastructure with business needs, strong communication is essential. By focusing on the "back end" of business intelligence to ensure our data is clean, reliable, and well-modeled, you will play a crucial part in helping Hemnet continuously improve and become better for everyone. What you’ll do 💥 * Build and develop data models, taking responsibility for structuring the data that forms the foundation for analysis, reporting, and future AI solutions. * Conduct analysis and ad-hoc explorations to answer complex business questions, helping stakeholders across Hemnet turn raw data into insights. * Improve our self-service capabilities, enabling more colleagues to find answers independently through robust data architecture. * Occasionally support the development of essential reports and dashboards to ensure data is visualized effectively. Who we think you are 🤩 In order to be successful in this role we believe that you have an educational background with a strong technical focus and a few years of experience working as an Analytics Engineer, Data Analyst or Business Intelligence Developer. As a bridge between technical and business teams, you excel at tailoring your communication and insights for everyone from Sales and Business Development to the leadership group. * Strong SQL and sound judgement in data modelling. * Professional experience with dbt. * Passionate about using your data models to solve real-world business problems alongside your stakeholders. * Experience partnering across departments and strong business acumen. * Excellent written and verbal communication skills in English and Swedish. * Bonus if you have experience in: - Tableau - A semantic or metrics layer - AI-powered self service analytics - Python I am your new manager 👋 My name is Thomas Hanusek. I joined Hemnet about four years ago. Prior to that, I drove analytics for more than 20 years across different companies. My passion at work is really about seeing how Data & analytics can drive product and business development in the best way possible. As a leader, I am a huge fan of seeing how a team can come together and, through their different skills, create magic. My aim is to be supportive and humble, and to create an environment where you feel trusted, challenged, and empowered to grow. A Note on Inclusion 💚 At Hemnet, we believe that diversity in gender, sexual orientation, ability, neurodiversity, cultural background and life experience makes us stronger. We welcome applicants of all identities and backgrounds. If you meet many but not all of the requirements, we encourage you to apply. We value curiosity, a strong sense of purpose and the motivation to learn and grow, alongside your skills and experiences. An Office-First Culture 🙏 Our office in central Stockholm is the true hub of our company culture. We are proudly an office-first team because we deeply value face-to-face collaboration and believe our best work happens when we are together. While we understand the need for occasional flexibility, we strongly prioritize in-person teamwork over remote work. Because our office is the center of our daily operations, it is essential that you are based in or near Stockholm. Please note that we're unable to provide relocation assistance for this opportunity.

TL;DR - We're looking for an Analytics Engineer to own the data foundation that powers financial reporting and analysis at Lovable. You'll build the models that connect billing, subscriptions, and revenue data to ensure Finance has accurate, auditable data for reporting, forecasting, and decision-making. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for Familiarity with subscription/SaaS metrics (MRR, ARR, churn, LTV, cohort analysis) Experience working with billing and payment data (Stripe, Chargebee, or similar) Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Understanding of dimensional modeling, data contracts, and metrics/semantical layers. Hands-on experience with data transformation tools (SQLMesh, dbt, or similar) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Attention to detail and understanding of why accuracy matters for financial data What you will do Build and maintain dimensional models (SQLMesh) for revenue recognition, subscription metrics, and financial reporting Create foundational tables for MRR/ARR, churn, expansion, contraction, and cohort-based revenue analysis Manage ingestion pipelines for financial data sources (Stripe, billing systems, payment processors) Reconcile data across systems to ensure accuracy between source of truth and reporting layers Define and document business logic for financial metrics (recognized revenue, deferred revenue, bookings) Monitor data quality and implement validation checks for financial data integrity Partner with Finance to translate reporting requirements into reliable, well-structured data models Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for self-service analytics. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for: Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Understanding of dimensional modeling, data contracts, and metrics/semantical layers Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc) Strong business acumen and ability to translate domain logic into scalable data structures What you will do: Build and maintain data models, following modular, tested, and version-controlled practices Partner with domain teams to understand business logic and codify it into reusable models and metrics Define and document key metrics and data contracts across domains Collaborate with Data Platform Engineers to optimize query performance and warehouse cost Automate and maintain data documentation, lineage, and governance standards Develop guidelines for analytics development, data modeling and structure conventions Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

Job Description WHAT YOU’LL DO As a Retail Analytics Manager, you will lead and develop a team of Data Analysts within the Retail unit. You combine people leadership with operational contribution, ensuring both strong delivery and continuous competence development. Key responsibilities include: Build, coach, and develop a high-performing analytics team while fostering a culture of curiosity, experimentation, and continuous improvement. Define and evolve the analytics vision by establishing long-term measurement frameworks, KPI governance, and a roadmap for advanced analytics that supports retail strategy. Act as a strategic partner to senior leaders, proactively identifying opportunities where analytics can unlock value and influence key decisions. Turn complex business challenges into structured analytical initiatives aligned with commercial priorities. Set standards for data quality, analytical accuracy, and impactful storytelling, ensuring reliable and actionable insights across the organization. Oversee analytics projects across functions, ensuring insights are timely, actionable, and embedded in strategic decision cycles. WHO YOU’LL WORK WITH You will work closely with stakeholders across Retail and beyond, and peer Data Analyst Managers to ensure strong collaboration and drive aligned, data-driven decision-making. WHO YOU ARE We are looking for people with… → Years of experience in analytics and/or business development → Deep expertise in data analytics, strong problem-solving capabilities and the ability to turn complexity into clear, actionable insights → Proven experience leading complex analytics initiatives and projects → Strong stakeholder management skills and the ability to build relationships across functions and contribute to Communities of Practice → Experience leading, coaching and developing others → A strong understanding of fashion retail, with deeper knowledge of the physical store environment And people who are… → Strategic thinkers who combine analytical rigour with clear and effective communication → Proactive and confident in driving initiatives forward while delivering high-quality outcomes → Engaging and structured leaders who create clarity, accountability and high-performing teams → Open and flexible, thriving in dynamic and evolving environments → Collaborative and motivated by shaping the future together with others WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. Read more about us here. JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. This is a permanent position based in Stockholm. Please submit your CV in English as soon as possible. Also note that, due to the summer holiday period, the recruitment process may take slightly longer than usual. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application

At Nouryon, our global team takes positive action every day, to reach higher collectively and individually. We create innovative and sustainable solutions for our customers to answer society’s needs – today and in the future. We are looking for a Process Analytics Engineer who combines chemical process expertise with a passion for data and digital tools to drive operational excellence at our manufacturing sites. Does that sound like you? Join the Digital Manufacturing team dedicated to making Nouryon’s manufacturing sites smarter, safer, and more efficient. As our new Process Analytics Engineer, you will work at the intersection of process engineering and data analytics – using digital tools to uncover improvement opportunities, optimize process control, and build lasting capabilities across our sites. You will collaborate closely with site engineers, science & technology teams, and other regional functions to turn data into real operational impact. In your future role as Process Analytics Engineer you will Conduct digital data mining to collect, interpret, and report process-related improvement opportunities at our manufacturing sites Review and optimize the process control layer using available digital tools, combined with your practical and theoretical process knowledge Connect and collaborate with focus sites and other Digital Manufacturing teams within Nouryon to drive the Digital Manufacturing roadmap Share knowledge and build digital, analytical, and process control capabilities – both within the regional team and at site level Contribute as a domain expert in cross-functional improvement projects, including stakeholder management We believe you bring A degree at academic level in Chemical Engineering or a related field Experience from the process industry – experience in process control or plant optimization is a strong plus Strong computer and analytical skills, with a data-savvy mindset and comfort using modern digital and AI-supported tools Excellent communication skills in English, both verbal and written A proven ability to collaborate across functions and manage stakeholders at different levels of the organization Great if you have: Hands-on experience with process data systems, DCS/SCADA, or advanced process control tools Experience leading or participating in process improvement or digitalization projects Familiarity with data analysis tools or programming languages (e.g. Python), and experience working with AI tools such as Claude or Claude Code We believe you are... Someone who takes a helicopter view of complex manufacturing environments and uses data and facts to identify where the biggest improvements can be made. You have a natural ability to communicate and to bring people along with you – whether you are presenting an idea to site management or collaborating with hands-on process engineers. You are curious, self-driven, and embrace change. You thrive in a cross-functional environment where no two days look the same. We offer you At Nouryon, we provide a great job and friendly coworkers, plus benefits in addition to salary. Our collective agreement is with IKEM. Plus, we offer unilateral perks, such as bonus, reduced hours, health care allowance, lunch allowance, and more. You will be part of a dynamic Digital Manufacturing team working with some of the most exciting digital transformation challenges in the specialty chemicals industry. This is a role where you can genuinely see the impact of your work – at site level every day, and at company level over time. Have we got your interest? This is a permanent position on a full-time basis, reporting to the Manager Process Analytics, and based at one of our ISC manufacturing sites in Sweden. Please apply via our online recruitment system. We will not accept applications via e-mail. Once it’s with us we will review to see if we have a match between your skills and the role! For more information about our hiring process, visit: nouryon.com/careers/how-we-hire/ As an applicant, you may be subject to a background check before employment, depending on the requirements of the role. You will receive more information about this later in the recruitment process. We work actively and systematically with HSE matters to ensure a safe and sustainable working environment for our employees. As an employee, you may therefore be required to undergo drug testing on a random basis. This is part of our commitment to safeguarding the safety and well-being of our staff. We look forward to receiving your application! We kindly ask our internal candidates to apply with your Nouryon email via Success Factors. About Nouryon Explore careers and life at Nouryon If you’re looking for your next career move, apply today and join Nouryon’s worldwide team in providing essential solutions that our customers use to manufacture everyday products such as personal care, cleaning, paints and coatings, agriculture and food, pharmaceuticals, and building products. Our employees are driven by the wish to make an impact and actively drive positive change. If that describes you, we will gladly make way for your ambitions. From day one we support you with your personal growth, through challenging positions and comprehensive learning and development opportunities, in a dynamic, international, diverse, and proactive working environment. Visit our website and follow us on LinkedIn. Contact If you have any questions about the recruitment process or your application or need assistance, please contact: Recruiting.SE@Nouryon.com For union-related inquiries: Akademikerklubben: Katarina Risö – katarina.riso@nouryon.com Unionen: Helene Rosenlund –helene.rosenlund@nouryon.com Ledarna: Sanna Backman – sanna.backman@nouryon.com #WeAreNouryon #GrowWithUs We have already chosen our sourcing channels for this recruitment and kindly ask not to be contacted by any advertisement agents, recruitment agencies or staffing companies.

Vi söker en erfaren och driven Senior Analytics Consultant som ska stödja nästa fas av tillväxt och innovation för Foundevers svensktalande marknader. Du är analytiskt lagd, nyfiken och har en mycket god problemlösningsförmåga. I rollen kombinerar du din branschkunskap med teknisk kompetens för att leverera analys- och insiktsprogram till våra kunder. Uppdragen syftar till att bland annat optimera affärsprocesser, förbättra kundupplevelser samt öka försäljning och intäkter. Du arbetar nära både interna intressenter och kundteam för att designa, presentera och leverera lösningar inom ett brett spektrum av branscher. Som en del av Foundevers Analytics & Insight‑community använder du din expertis inom dataanalys och din förmåga att hantera intressenter för att leverera analyser med hög affärsnytta och skapa förankring hos både verksamheten och våra kunder. Dina ansvarsområden Dataanalys Leda och leverera analysarbete inom flera insight- och analysprogram för olika kunder Ha en bred förståelse för analys- och insiktslösningar samt tillhörande koncept Använda statistiska analys- och modelleringstekniker Presentera komplex analys på ett tydligt och affärsnära sätt med konkreta rekommendationer Samarbeta med BI- och rapporteringsteamet för att utveckla och förbättra dashboards, rapporter och visualiseringar i Power BI Säkerställa kvalitet genom granskning av projektleveranser Leda och stötta ett mindre team av analytiker och insight-specialister Intressent- och kundsamarbete Samarbeta med kunder för att förstå deras affärsmål och översätta dem till analys- och insiktslösningar Presentera analysresultat för beslutsfattare på alla nivåer, inklusive ledningsgrupp Vara en betrodd rådgivare till både interna team och kunder Arbeta nära interna funktioner såsom Operations, Solutions, Client Strategy & Advisory och Account Management Samarbeta med team inom Data Science & Engineering Förbättrings- och utvecklingsprojekt Ta fram insikter som leder till förbättringar av processer, teknik och tjänster Stödja framtagandet av business case genom kostnads–nyttoanalyser och ROI‑beräkningar Följa upp implementerade lösningar och utvärdera resultat samt föreslå justeringar vid behov Hålla dig uppdaterad kring nya verktyg, metoder och trender inom analysområdet Försäljning och lösningsutveckling Ta fram business case och ROI‑beräkningar som stödjer nyförsäljning och vidareutveckling av befintliga kundavtal Bidra till utvecklingen av skalbara och återanvändbara analysprodukter inom EMEA‑regionen Stödja Insight & Analytics Director i arbetet med offerter och lösningsförslag Ledarskap och strategi Fungera som projektledare för analys- och insight‑uppdrag över flera kundkonton Leda analysarbete och samordna teamets arbete med stor självständighet Identifiera möjligheter att förbättra och standardisera arbetssätt och processer Ansvara för uppföljning av projekt, pipeline och styrning Coacha, utbilda och mentorera kollegor inom analysteamet Din profil Flytande i svenska och engelska Minst 2 års erfarenhet av analysarbete inom BPO‑verksamhet Minst 2 års erfarenhet från detaljhandeln Minst 5 års erfarenhet av dataanalys inom kontaktcenterverksamhet Praktisk erfarenhet av SQL, Python och/eller R, gärna i molnmiljö (företrädesvis Microsoft Azure) God till avancerad kunskap i Power BI Erfarenhet av Azure‑miljöer, exempelvis Databricks, är meriterande Erfarenhet av Alteryx och arbete med ostrukturerad data är meriterande Mycket god kommunikativ förmåga i både tal och skrift Stark analytisk förmåga och ett lösningsorienterat arbetssätt Förmåga att arbeta självständigt och hantera flera parallella uppdrag Om Foundever Foundevers uppdrag är att vara lösningen och teamet bakom de bästa kundupplevelserna för världens ledande varumärken – när och där det behövs. Med cirka 170 000 medarbetare globalt kopplar Foundever® samman varumärken med deras kunder miljontals gånger varje dag, på över 60 språk. Vår globala närvaro gör oss till en av de ledande aktörerna inom BPO‑branschen. Vi erbjuder Konkurrenskraftig lön 10 % bonus baserad på företagets och individuell prestation 25 dagars semester plus ordinarie helgdagar Konkurrenskraftigt pensionsupplägg Möjlighet till distansarbete Du får möjlighet att arbeta i en stabil och trygg organisation med goda arbetsvillkor, kontinuerlig kompetensutveckling och en tydlig tillväxtstrategi som skapar långsiktiga karriärmöjligheter. Låter detta intressant? Ansök redan idag – vi ser fram emot att höra från dig!

Vi söker nu en erfaren business analytics till ett långsiktigt uppdrag inom implementation och utveckling av affärskritiska ekonomisystem. Om uppdraget I rollen kommer du främst att arbeta med implementation av M3 som ERP-system, med fokus på utveckling och implementation av ekonomirelaterade funktioner. Även utvecklingsarbete inom andra applikationer kan förekomma. Du blir en del av Finance Solution – en IT- och applikationsteam som stödjer verksamhetsutveckling, IT-utveckling samt drift av ekonomiapplikationer inom organisationen. Teamet arbetar nära verksamheten och andra delar av kundorganisationen för att skapa effektiva och hållbara lösningar. Arbetsuppgifter Som business analytics kommer du bland annat att arbeta med: Verksamhetsutveckling och behovsanalys Kravinsamling och kravhantering Översättning av verksamhetsbehov till utvecklingsbara krav Integrationsmappning mellan finanssystem Test och kvalitetssäkring av lösningar Samarbete med utvecklingsteam och verksamhet i agila arbetssätt Din bakgrund, erfarenhet och kompetens Flera års erfarenhet som Business analyst, 4–8 års erfarenhet. Gedigen erfarenhet av kravarbete och integrationsmappning Erfarenhet av arbete med ERP-systemet M3 God förståelse för ekonomisystem och finansiella processer Erfarenhet av Jira och agila arbetsmetoder Förmåga att arbeta självständigt och driva frågor framåt Svenska och engelska flytande i tal och skrift är ett krav. Du är en lösningsorienterad och strukturerad person som är van att kommunicera med både verksamhet och IT. Du har lätt för att skapa förtroende och trivs i en roll där du både fångar behov och proaktivt föreslår förbättringar. Bra att veta Uppdragsperiod: start så snart som möjligt och förväntas pågå till 31/1 - 2027. Omfattning: 100 %, placeringsort: Västerås. Tillgänglighet på plats i Västerås under hela uppdragstiden krävs Ansökan För frågor om tjänsten är du varmt välkommen att kontakta ansvarig konsultchef Elvira Björebäck via elvira.bjoreback@jurek.se  Vänligen notera att vi inte tar emot ansökningar via email. Jurek är en specialiserad partner inom rekrytering och konsultuthyrning som hjälper företag att hitta rätt kompetens inom Finance, Legal & Compliance, Banking & Insurance, HR och Business support. Vårt erfarna team kombinerar branschkunskap med ett starkt nätverk för att skapa träffsäkra och hållbara matchningar. Vi arbetar långsiktigt, personligt och med hög kvalitet, för att skapa bästa möjliga upplevelse för både kunder och kandidater.

Svea Solar is a leading force in the energy and solar industry, where innovation and market driven growth define our business. Our Marketing team is not just a support function - it is at the center of our commercial strategy, directly influencing revenue, profitability, and our long term vision. We are now looking for an experienced Marketing Analytics Manager to become a strategic and senior partner to our CMO and play a key role in shaping the future direction of the company. Oh, and did we mention this role is completely new? We’re creating it as we close the gap to profitability and step into an exciting new phase of sustainable growth—expanding while staying profitable. In this role, you’ll have a major impact on Svea Solar’s journey and the freedom to shape your position from the ground up. About the role You will work closely with our CMO, Sofia Brandberg, and take full ownership of delivering datadriven insights and strategic recommendations to the Marketing team, the broader Commercial organisation, the website team and C-level leadership. Your mission: Lead the way in simplifying analytics and turning insights into clear, actionable recommendations - enabling stakeholders to focus, move faster, and unlock greater impact. Own the end‑to‑end analysis of the full marketing funnel - from market interest and traffic acquisition across paid and organic channels, through on‑site behavior and conversion performance. Proactively analyze and advise on lead channels and overall lead mix - mapping lead needs and optimization, campaign performance and opportunities to optimize channel allocation for stronger ROI. Act as the go‑to partner for marketing and website stakeholders (CRM, content, website, media) empowering data‑driven decision making by ensuring access to the right insights, enabling goal‑setting, analysis and AB-testing that drives both efficiency and growth. Build intuitive, scalable dashboards that democratize insights across the organization - making data accessible, actionable, and a natural part of everyday decision making Partner with IT, Tech and Finance to ensure high data quality and maintain a reliable single source of truth across all marketing data assets. 🌍 Life as a Power Shifter - What do we offer you The opportunity to make an impact – your work directly contributes to fixing the planet and driving the energy transition. A value-driven workplace – read more about our values here. The chance to own your results – grow, take responsibility, and power up as both we and the energy industry evolve. Diversity and inclusivity – different perspectives drive innovation. Here, you can be yourself and contribute with your experiences, identities, and ideas. Employment benefits – occupational pension, 30 days of vacation, wellness allowance, free parking, and more. Flexibility / hybrid work – work up to two days a week from home. Want to see what life at Svea Solar really looks like? Follow us on Instagram: @LifeAtSveaSolar Are we a match? We are looking for someone who: Brings strong experience in Marketing Analytics, BI, and ROI-driven performance analysis, ideally with a focus on acquisition and activation. A commercial mindset is essential! Demonstrates strong end-to-end ownership, from identifying the most impactful analyses to performing the analysis and packaging insights into clear, visual recommendations. Is comfortable working with large, complex datasets and creating clear, visual presentations for C-level stakeholders. Has experience working with Meta, Google Ads, Google Analytics, tracking (including Google Tag Manager), marketing automation, and CRM platforms. Holds an academic background in economics, finance, engineering, or a related field. Has an excellent command of English. As a person, you are: A self-driven, strategic thinker who thrives in a fast-paced and constantly evolving environment. Nice to have (but not required): Experience with Power BI and Funnel and proficiency in Swedish. ⚡Who are we As Sweden’s - and one of Europe’s - leading providers of energy tech and solar, we help our customers optimize their energy use with smart, connected solutions. From solar panels to heat pumps, batteries, EV chargers, and software, we’re shaping the future of energy. We call it The Power Shift. And the ones driving it? Power Shifters. #LILS About our recruitment process  With structured interviews and assessments through Alva Labs, we make sure our recruitment process is fair, inclusive, and unbiased - because diversity is key to innovation!  Read more about our Recruitment process here. 👉Ready to become a Power Shifter? We review applications on a rolling basis, so don’t wait to send yours in!

Avalanche Studios Group is looking for a Senior Analytics Engineer to join our Data and Insights team. This role will be responsible for creating, designing and maintaining our data architecture. This role requires a deep understanding of data engineering, data modelling, data visualization, event design and best practices in those areas. This is a key role in developing our data lake by bridging the gap between our data engineer and our data scientists as well as ensuring that our data is timely, easy to work with and trusted across the company.

What will you do? As a Senior Analytics Engineer at Rebtel, you are the person who makes data trustworthy and usable at scale. You sit at the heart of our data platform, sitting between the pipelines that bring data in and the teams who rely on it to make decisions every day. Your job isn't to do the reporting; it's to make great analytics possible for everyone else. This is a hands-on engineering role with real ownership. You'll take charge of our transformation layer in dbt, own the semantic layer in Looker, and make sure that data across the organization is well-modeled, tested, documented, and trusted. You'll work closely with our Data Engineer on platform quality and standards, and partner with stakeholders across product, growth, finance, and operations to turn their data needs into solid, self-service data products. If you care deeply about data quality and believe that good engineering is what makes analytics possible; if you get satisfaction from turning raw, messy data into something clean and reliable; if you want to be the person the rest of the company depends on when they need to understand a metric or find the right dataset, we'd love to talk. Areas of ownership: Design, build, and maintain data transformations in dbt, including facts, dimensions, and data marts, that power self-service analytics across the company Own Rebtel's semantic layer: write and maintain LookML, manage Looker platform administration, and make sure the self-service experience is accurate, discoverable, and scalable Enforce data quality through rigorous testing, validation, and monitoring throughout the transformation layer Drive data documentation and literacy, making data easy to discover, understand, and use for both technical and non-technical audiences, including AI agents Optimize query performance and improve efficiency across our Snowflake data platform Partner with the Data Engineer on modeling standards, platform reliability, and end-to-end pipeline quality Work with stakeholders across the business to understand their data needs and turn them into reliable, well-structured data products Stay current with analytics engineering best practices and help shape how we build, govern, and evolve our data platform Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 5+ years of experience in Analytics Engineering, Data Engineering, or a closely related role Strong SQL skills and hands-on production experience with dbt Experience owning a semantic layer, with LookML and Looker strongly preferred Solid understanding of dimensional modeling and analytics engineering best practices and architectures Familiarity with Snowflake or similar cloud data warehouses Experience with Git and CI/CD workflows Strong documentation and communication skills; you can explain data to both engineers and business stakeholders Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are looking for an Analytics Engineer to join the team in Stockholm. About the Team We are proud of our ability to combine technical expertise with sound business sense. This translates to solutions that are not only effective in addressing current challenges but also sustainable long term. Our team is composed of Analytics Engineers and Data Engineers, fostering a collaborative environment that enables us to manage data end to end – from optimizing data pipelines to developing user-friendly models for analysis. Our technology stack includes BigQuery (SQL), Looker, dbt™, and Google Cloud Platform, with opportunities to evaluate and introduce new technologies as we scale. About the Role As an Analytics Engineer, you'll work with developing data capabilities that power decisions across our global organization. You'll have significant technical and organizational impact, driving both immediate solutions and long-term strategic initiatives. Examples of responsibilities: * Develop data transformation steps and build a strong data modeling foundation for enabling self-service analytics across the company. * Build and maintain trusting, working relationships with business partners across domains and discover high-impact opportunities to enable self-service analytics in our semantic layer. * Strategically plan and deliver meaningful projects to increase data literacy at Storytel. * Lead the resolution of critical data issues, establishing monitoring systems and best practices to prevent future problems and improve data reliability. * Collaborate with data practitioners to understand their needs and requirements, breaking down complicated technical concepts to fit the audience. * Drive adoption of technical best practices across the data team, mentoring others and bringing in industry innovations that improve how we work. We believe that you have * Experience with creating and maintaining semantic layers. * Experience in working with data (BI/Analytics/Data Engineering) specializing within Analytics Engineering. * Deep expertise in SQL and data modeling and extensive experience with modern data stack technologies (e.g., dbt™, Looker, BigQuery, or equivalent tools). * The ability to consistently deliver performant, accurate, and scalable solutions. * Experience mentoring junior engineers and driving team-wide technical improvements. * Proven ability to lead complex data projects, solve problems independently, and proactively improve products. * Excellent communication skills with the ability to explain complex technical concepts to various audiences. * The ability to thrive in a feedback culture and constantly strive to improve your own skills and knowledge. Bonus if you experience * Working with Python. * With data governance and access management. * With different data modeling schemas. * Working with international teams and global data operations. JOIN A WORLD OF STORIES At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you’re all set. Does this sound like you? If you feel like Storytel is a place where you could thrive, please submit your application in English and we will contact you as soon as possible.

Analytics Engineer, Stockholm Bravida is one of the Nordic region's leading installation and service companies covering electrical, HVAC, plumbing, sprinkler, security & fire, and automation across Sweden, Norway, Denmark and Finland with over 12,000 employees and around 300 local branches. Behind that scale sits serious operational complexity: projects, procurement, and finance functions that run on data. We're hiring an experienced Analytics Engineer to own the data models that ties it all together.   The Role Data modelling is the core of this job. You'll design and own the semantic layer that makes Bravida's operational and financial data trustworthy, consistent, and accessible for reports today and generative BI tomorrow. AI isn't a side interest here; it's central to how we expect this role to operate and where we're taking our analytics capability. Architect and own data models in dbt on Snowflake as the primary deliverable Define and enforce modelling standards, documentation, and data contracts across domains Build and manage pipelines in Dagster Work with AI tooling actively to accelerate your own output and enable smarter self-service for the business Drive our move toward generative analytics, shaping how business users query and interpret data through natural language Work directly with operations, procurement, and finance to model their domains properly Lead analytics data quality and reliability improvements across the stack   The Team The Data & Analytics team sits inside Operational Excellence, a fast-moving function with a mandate to improve how Bravida runs at every level. That means getting out into the business, building relationships with branch managers and project leads across the Nordics, and making data something people actually pull toward rather than have pushed at them. We move quickly, we're visible, and we don't accept "this is how we've always done it." If you need a perfectly quiet environment to do your best work, this probably isn't the right fit. If you thrive on direct feedback, short cycles, and seeing your work land in the real world fast, it is.   What You Bring 3+ years as an Analytics Engineer, Data Engineer, or Data Analyst Deep dbt experience; you've built and maintained production-grade models others depend on Strong Snowflake or comparable modern platform experience Solid grasp of dimensional modelling, data contracts, and semantic layer design Active user of AI tools in your workflow and a view on how they change the job Genuine interest in generative BI and what it means for how businesses consume data beyond today Strong stakeholder management; you can hold a room, push back constructively, and get buy-in from people who weren't looking for it You spot problems before they're reported and propose solutions before they're requested You make good calls with incomplete information and don't wait to be told what to build next English required; Nordic languages a bonus   What We Offer Ownership of a decision engine that matters at real scale A modern stack (Snowflake, dbt, Dagster) with active investment in AI and generative BI Direct access to senior stakeholders across operations, procurement, and finance A fast team with a real mandate, not a support function waiting for tasks Autonomy on your own career and continuous development The construction and installation industry is going through fundamental change in how projects are run, how decisions get made, and how value gets measured. The civic projects Bravida works on: the hospitals, schools, infrastructure, and buildings that society depends on, they deserve to be built and then operated on better data. We take that responsibility seriously. That's what this role is part of.   Process: Intro call with hiring manager, then a practical technical case study followed by meeting the team and discussing the solution. Final step is meeting some of the Operations team and key stakeholders.   You must be eligible to work in Sweden and the EU.

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will join a global retail environment that is strengthening its business insights capability while building a governed and scalable self-service data platform. The focus is on delivering reliable reporting, reusable semantic models, and consumption-ready analytical assets that support both centrally managed reporting and governed self-service across multiple stakeholders. In this role, you will primarily contribute to the Business Insights area and also support the self-service data platform as priorities evolve. You will work close to both technical and business stakeholders to improve reporting continuity, support migration activities, and establish scalable patterns for certified datasets, governed consumption, and modern analytics in Microsoft Fabric. This is a strong opportunity for you if you enjoy combining hands-on BI development with platform thinking in a complex analytics landscape. Job DescriptionYou will design, build, and maintain Power BI reports, dashboards, semantic models, and analytical datasets. You will translate business needs into analytical models, measures, reports, and actionable insights. You will create scalable and reusable semantic models aligned with governed data-product principles. You will use Microsoft Fabric capabilities such as Lakehouse, Warehouse, Dataflows Gen2, Pipelines, notebooks, and semantic models where relevant. You will improve report performance, usability, data quality, security, and maintainability. You will drive standardized report design, reusable components, and common data-modeling practices. You will support testing, validation, release preparation, stakeholder demonstrations, documentation, and onboarding. You will collaborate with the self-service data platform team to define consumption-ready patterns, including Gold-layer standards, certified datasets, and Direct Lake usage. You will support governed self-service, reporting access, and implementation needs for retailer and franchisee stakeholders. You will share knowledge and coach colleagues to reduce single-person dependency. RequirementsStrong hands-on Power BI development experience, including report design, governed self-service, and workspace management. Expert-level DAX, data modeling, dimensional modeling, and semantic-model design. Strong analytics-engineering mindset, including version-controlled, testable, and reusable analytical assets. Hands-on Microsoft Fabric experience, or strong Power BI and Azure data-platform experience with demonstrated ability to become effective in Fabric quickly. Experience with report performance optimization, data validation, and maintainable solution design. Ability to translate business needs into practical analytical solutions and communicate effectively with stakeholders. Strong documentation and knowledge-sharing skills. Minimum approximately six years of relevant BI or analytics-engineering experience. Clear communication in English. Nice to haveHands-on experience with Fabric Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, or notebooks. Experience with Databricks, Azure Data Lake, Azure Data Factory, or similar modern data platforms. Experience with deployment pipelines, Git integration, and release management for BI assets. Experience with data-product thinking, data contracts, and governed self-service analytics. Experience with row-level security, object-level security, and access control in Power BI and Fabric, ideally in multi-entity or franchisee contexts. Enterprise BI migration experience. Relevant certifications such as PL-300 or DP-600. Comfort working in a platform-building environment where not everything is fully defined. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.