
ACADEMIC WORK SWEDEN AB · Stockholm
Är du en analytisk lagspelare som vill vara med och forma framtidens beslutsstöd? Vi söker nu en Business Intelligence-analytiker till Spendrups som vill arbeta...
Är du en analytisk lagspelare som vill vara med och forma framtidens beslutsstöd? Vi söker nu en Business Intelligence-analytiker till Spendrups som vill arbeta med deras nya analysplattform i en verksamhetsnära och utvecklande roll. Här får du chansen att omsätta data till affärsnytta i ett av Sveriges mest välkända familjeföretag.
Spendrups är ett äkta familjeföretag som drivs i fjärde generationen med flera familjemedlemmar som aktiva eldsjälar i hjärtat av verksamheten. I organisationen ingår 1100 medarbetare, som jobbar i Grängesberg, Hällefors, Visby, Stockholm och på alla terminaler och säljkontor runt om i Sverige. Deras kärnverksamhet ligger i sina bryggerier där de gör öl i världsklass men också läsk, mineralvatten m.m.
Som BI-analytiker kommer du att utveckla och underhålla rapporter och dashboards med Power BI som huvudsakligt verktyg. Du kommer att göra analys för att identifiera trender och mönster och jobba nära kollegor i företaget för att förstå hur du kan hjälpa dem att utnyttja sin data.
Du erbjuds
Att jobba i en fantastisk företagskultur med härliga kollegor och god stämning
På Spendrups präglas kulturen av öppenhet, och dina idéer värdesätts. Här får du chansen att inte bara lösa problem utan också aktivt bidra till att utveckla och forma Spendrups datadrivna arbete
Utveckla och underhålla rapporter och dashboards i Power BI
Identifiera trender och mönster i hur data kan användas i företaget
Tolka SQL-frågor för att extrahera och manipulera data
Arbeta med semantiska datamodeller
Samarbeta med olika avdelningar för att förstå databehov
Fungera som bollplank i datarelaterade frågor
Presentera analysresultat och rekommendationer
Vi söker dig som
Har universitets- eller YH-utbildning inom datavetenskap, statistik, ekonomi eller relaterat område.
God kunskap i Power BI för att skapa interaktiva dashboards
God kunskap i SQL och erfarenhet av att arbeta med databaser
Erfarenhet av data mining och analysverktyg
Förståelse för semantiska datamodeller
God kommunikationsförmåga och förmåga att samarbeta
Kommunicerar obehindrat på svenska och engelska i tal och skrift
För att lyckas i rollen har du följande personliga egenskaper:
Analytisk
Ansvarstagande
Social
Vår rekryteringsprocess
Denna rekryteringsprocess hanteras av Academic Work och vår kunds önskemål är att alla frågor rörande tjänsten skickas till Academic Work.
Vi tillämpar löpande urval och kommer plocka ner annonsen när tillräckligt många kandidater har nått slutskedet i rekryteringsprocessen. Vid ansökan efterfrågas ett CV. Personligt brev använder vi inte som urvalsmetod och behöver därför inte bifogas. Rekryteringsprocessen innehåller två urvalstest: ett personlighetstest och ett test i kognitiv förmåga. Testerna är ett verktyg för att kunna hitta den kandidat med högst potential för tjänsten samt främja jämlikhet, mångfald och en rättvis rekryteringsprocess.
Bannerflow is a fast-growing global SaaS company building a Creative Intelligence Platform that enables enterprise brands to predict, create, and optimize advertising across channels. We’re on a company-wide AI transformation journey, where AI and agentic workflows are becoming a core part of how we build and innovate, with high expectations on adoption across all teams. Our teams are highly autonomous, collaborative, and we are now looking for another passionate engineer to join us! The challenge: Scaling data for the future Our platform serves 500+ million impressions daily, with peaks over 1 billion impressions, and we’re just getting started. We’re currently rebuilding our entire data infrastructure from the ground up to adopt a data lakehouse approach, enabling: Scalability & Flexibility: Handling billions of data points while staying cost-efficient and future-proof. Data-Driven Features (AI & ML): Enabling predictive models and automation based on historical data. Business Intelligence & Analytics: Delivering insights directly to customers in our platform. To make this vision a reality, we’re looking for an experienced Data Platform Engineer to join our Platform team, and take full ownership of designing and building a scalable, high-performance data platform that will power the next generation of our product. Are you + Bannerflow = True? 🦋 We believe this is an opportunity for you who want to take the technical lead and define our data platform and best practices. Your work will directly impact customers and drive innovation in Ad Tech as part of an autonomous tech team. You'll tackle cutting-edge challenges in large-scale data processing, ML pipelines, and advanced analytics. At Bannerflow, we live by our values of passion, collaboration, and challenge. You'll be part of a vibrant culture with activities like padel tournaments, webinars, Friday beers, and Level-up Hackathons. We offer a hybrid workplace and a competitive compensation package, including pension according to ITP1, health allowance, parental leave top-up, and health care insurance. Your mission Design and build scalable data pipelines for analytics and AI-driven features. Build on our existing lakehouse foundations to shape the architecture's next stage, balancing performance, flexibility, and cost. Ensure high data quality and reliability, implementing best practices in data modelling, governance and observability. Collaborate closely with our Data Analysts, Chief Architect, Engineers, and Product teams to create data-driven features and insights. Evaluate and implement new technologies to ensure a modern, scalable, and future-proof data stack. So, what are we looking for? 5+ years of experience as a Data Engineer/Data Platform Engineer/Data Lead, working with large-scale data processing. Strong knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure, or AWS). Experience working with data lake and lakehouse technologies (cloud storage solutions, Iceberg tables, Delta Lake, etc.). Experience with designing scalable architectures and pipelines that support large datasets efficiently. Passion for AI/ML-driven data features and enabling advanced analytics. Problem-solver mindset, you love optimizing performance and building robust systems. Curiosity & ownership – you thrive in an environment where you can experiment and improve. Not sure if you check all the boxes? Apply anyway! We believe that mindset and passion are just as important as technical skills. If you have a software engineering background, love solving complex problems, and are a data nerd at heart, we’d love to hear from you, even if you don’t meet every requirement. We’re looking for the right person, not just the perfect resume. We are committed to building a diverse and inclusive team and welcome applications from candidates of all backgrounds, experiences, and abilities. Join us at Bannerflow and help us build a world-class data platform that powers the future of Ad Tech!
⚡️ What We Do Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn't shining and the wind isn't blowing. Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow. 🌟 Who We Are Tech company at heart – purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Grid Manager to join our Asset Development domain. About the role As our Grid Manager, you will help Flower build a project portfolio that is adapted to the markets of tomorrow by enabling the best possible grid conditions of our projects. You will help Flower maintain its competitive edge by combining deep technical analysis of grid conditions with proactive TSO/DSO engagement. This is a role with real ownership - you'll ensure that acquired and developed projects are feasible and optimised for long-term value, as well as identify and mitigate connection risks early so projects stay investable and execution-ready. You will play a key part in shaping how Flower develops its grid capabilities as the business grows - making this a role where your expertise and input genuinely matter beyond the day-to-day. What you'll do Lead technical grid due diligence for acquired and in-house BESS projects; dig into connection offers and agreements and identify the red flags others miss Act as Flower's technical interface with TSOs and DSOs: define the right questions for each project phase, identify uncertainties, and ensure that possible restrictions are identified and understood. Evaluate and mitigate connection restrictions and translate them into clear project impact and risk assessments. Support local and external developers in their dialogues with grid operators, keeping conversations focused on what actually matters at each stage to cut timelines and optimize the connections. Own structural and legal grid risk screening and coordinate closely with our Legal team. Manage risks arising from connection structure changes: e.g switching of connection point or voltage levels, tariff impacts, availability requirements and grid code updates. Represent Flower in grid policy discussions and working groups - including forums that shape the future of flexible grid agreements in Germany and Europe - to actively influence the conditions in the markets we operate in. Serve as the go-to grid expert internally across EPC, Asset Ops, Trading, Strategy, and Commercial, and work closely with Market Intelligence and Finance to make sure grid risk is properly understood and priced across the business. Who you are You have 5-10 years of hands-on experience with grid-related topics, either at a grid operator or on the developer side. You understand what it takes to get a large BESS project connected in Germany - the technical complexity, the regulatory landscape, and the relationship dynamics with TSOs and DSOs. You're equally comfortable in a detailed connection agreement as in a room with senior stakeholders. Specifically, you bring: Solid experience with grid connection processes in the German power system - the regulatory framework, the key players, and the realities of getting things done with German TSOs and DSOs. Fluency in both German and English: this is essential. You'll be working directly with German grid operators, reviewing German-language technical documentation, and representing Flower in German-language forums. Strong interpersonal and network-building skills. The relationships you build with TSOs, DSOs, developers, and policymakers are as important as your technical knowledge. The instinct to identify future developments in the energy system and understand what they mean for Flower's business case. A problem-solving mindset and the confidence to make judgement calls in ambiguous situations without waiting for perfect information. An engineering or similar technical degree is a plus, but what matters most is that you know the space deeply and can work autonomously at a senior level. 📍 Location Our beautiful office is located in the heart of Södermalm, just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have about 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the Talent Partner, the Team, and the VP of Asset Development. We look forward to hearing from you! —- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.
10% of Europe's CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that. With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time. Founded in 2022, and with 1000+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, an HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034. About the role We are looking for a Data Engineer to join our Data Analytics and ML team. We are looking for somebody who can continue building, improving, expanding and maintaining our data infrastructure and central back-end, from GCP fundamentals to collaborating with tech teams to set up their data serving pipelines, to enabling analytics engineers and domain experts to build data marts, dashboarding and data science efforts. You are responsible for enabling other data experts in their developer experience, ensuring our data core platform is secure, stable and scalable, can run necessary pipelines for streaming and other sources, and serve data to other engineers or analysts in a reliable, compliant and convenient way. Your work will be key to optimising the reliability and performance of our organisation and the different teams. You will build and maintain our data landscape, drive change in our tech and development processes, engineer solutions to enhance features, and be a part of our data architecture to propel solutions to further levels. Your other responsibilities include: Enable data- and AI-driven software, insights and informed decisions through enabling data product building in an interoperable, agile and modern fashion Build components to enable data mesh distributed ownership of data assets, pipelines and analytics marts Develop end-to-end pipelines to ingest, transform and serve data assets Collaborate with analytics engineers, enabling them to move fast and efficiently in developing and managing data products based on raw source data Collaborate with software product development teams to allow them to to have autonomy in serving and consuming data in the landscape Introduce practices and tools to improve data reliability and performance Ingest crucial data to adjust future business strategies Who are you From a technical perspective, we would like you to have experience with: Data engineering, infrastructure as code, and building data pipelines and pipeline modules Streaming data, Kafka, schema registry Creating ELT/ETL pipelines for ingesting and transforming data Building, testing, and maintaining database and pipeline architectures Dagster, DBT, DLT, GCP, AWS Python, SQL, Java, Terraform GitHub CICD and deployment pipelines Kubernetes Lint and other code hygiene CI practices Data/analytics/ML in any major cloud platform As a person, we would like you to be: Adaptable and hands-on solution while taking into account/having an interest for the holistic perspective A quick learner with a willingness to share knowledge A strong communicator and team player At Aira, we champion the next-generation energy as well as diversity and inclusion. We firmly believe that a diverse workforce fosters innovation and creativity, enhancing our ability to serve customers and communities effectively. We welcome individuals from all backgrounds, cultures, and perspectives to join our team. Our commitment is to uphold equality and inclusivity, fostering a collaborative environment where everyone can thrive and contribute to a better future for our people and the planet.