
Wolt Development Sverige AB · Stockholm
Som Analytics Manager ansvarar du för att leda analysarbetet inom Wolts logistikområde genom att kombinera avancerad datanalys med strategiskt personalansvar.
Som Analytics Manager ansvarar du för att leda analysarbetet inom Wolts logistikområde genom att kombinera avancerad datanalys med strategiskt personalansvar.
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.
PostNord is making a significant investment in strengthening its sustainability and ESG reporting capabilities towards customers as part of our data‑driven transformation. To support this journey, we are building a new ESG data foundation – and we are looking for an ESG Data Engineer to help define and build it. This is a key role in a new setup, where you will contribute to establishing trusted, scalable and auditable ESG data pipelines that sustainability reporting across the Group will rely on. You will help turn ESG reporting requirements into reliable data solutions from the ground up. The role sits within the Analytics Center of Excellence, responsible for shaping the future data and analytics landscape at PostNord. You will work with our Azure‑based data platform and collaborate closely with sustainability specialists. This position is ideal for someone who wants to take real responsibility, build something fundamental and apply strong technical skills in a purpose‑driven domain. Your role As a Data Engineer working with Sustainability & ESG, you will design and maintain data models and pipelines that support: Regulatory and statutory sustainability reporting (e.g. CSRD) Internal sustainability KPIs and performance management Management and operational insights related to climate impact, energy, transport, suppliers, and social responsibility You will work closely with sustainability experts, business stakeholders, Power BI developers, and the central data platform team to ensure data quality, traceability, and scalability. Job duties Enable a self-service data architecture that provides trusted sustainability and ESG data across the organization Design, develop, and deploy fact- and dimension-based data models to support sustainability reporting and analytics Build and maintain ETL/ELT pipelines integrating data from multiple operational, finance, and external sources Collaborate with sustainability, finance, and compliance stakeholders to translate reporting requirements into robust data solutions Ensure data quality, lineage, and transparency, supporting auditability and regulatory needs Collaborate with the Data Platform team to align on architecture standards and best practices Work with modern Azure-based data platforms, contributing to scalable and secure solutions Strong analytical skills and the ability to apply complex business and sustainability logic to raw data Data modeling and data warehousing Database design and ETL/ELT development Performance tuning and scalable data solutions Experience or strong interest in sustainability, ESG, or regulatory reporting domains Good understanding of front-end analytics and reporting tools (e.g. Power BI) Experience in requirement analysis, prototyping, and stakeholder collaboration A collaborative mindset and ability to work closely with business, sustainability specialists, and technical teams Preferably hands-on experience with: Databricks, Azure DevOps, Git, (Py)Spark, Python, CI/CD pipelines, Azure Data Platform, Medallion architecture. Ways of working You will work in an agile environment, applying a pragmatic SAFe-inspired approach adapted to team and product needs. As a Data Engineer at PostNord, you will remain hands-on, while also collaborating closely with Power BI developers, sustainability specialists, product owners, and domain teams to ensure solutions meet business and regulatory expectations. Your profile You have several years of experience as a Data Engineer or BI/Data Engineer in a data-intensive environment. You understand how to design enterprise-grade, reliable, and auditable data models, and you enjoy working close to the business. You are curious, eager to learn, and motivated by using data and technology to support sustainability, transparency, and responsible business practices. We offer you A flexible hybrid workplace in a prestige-free and collaborative culture Opportunities for professional and personal development A Nordic working environment with strong values In addition, we offer: Good insurance and occupational pension conditions Wellness allowance & access to office gym and swimming pool Employee benefits through PostNord’s employee foundation Employment according to a collective agreement We make everyday life easier – and more sustainable PostNord is the leading supplier of communication and logistics solutions to, from, and within the Nordic region. We aim to make everyday life easier and more sustainable for everyone who lives and works in the Nordics. We value accountability, courage, and commitment, and we believe diversity and teamwork lead to better outcomes. Apply We look forward to receiving your application! For questions about the role, please contact: Pernille Skovborg – Manager of Analytics Center of Excellence at pernille.skovborg@postnord.com. PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.
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 ROLE As a Product Analytics Engineer, you will be the vital link between raw data and actionable product insights. Your mission is to establish the data infrastructure and tracking setup for all markets, but with a focus for unique expansion into the Brazil market Working within a team of 4 in Stockholm, you will ensure all data is compliant, governed, and of the highest quality before it reaches our analysts. You will play a key role in implementing robust tracking processes, such as Mixpanel, while collaborating closely with Developers and Product Managers to ensure our technical depth matches our business ambitions. This is a role designed for an initiator who can manage many moving parts in an agile environment. YOU WILL BE RESPONSIBLE FOR: Setting up the data infrastructure and tracking for the Brazil market. Implementing and managing tracking tools, specifically Mixpanel. Giving clear instructions to developers on how to track user actions in React and front-end code. Checking that all data is accurate and follows our quality standards. Creating and updating a clear list of all tracked events so everyone understands the data. Ensuring all data collection follows company rules and data laws. Working with marketing and product teams to help them get the data they need. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: ESSENTIAL SKILLS Professional Experience: Minimum of 3+ years of experience in a Product Analytics Engineering role or similar Web Analytics & Tracking: Strong experience in digital data collection and event-based tracking, including hands-on work with Google Tag Manager (GTM & sGTM). Technical Foundations: Solid understanding of JavaScript, browser behavior, cookies, client-side & server-side tracking, with ability to debug and validate implementations. Collaboration & Communication: Experience working closely with developers and product teams, and ability to clearly explain technical concepts to both technical and non-technical stakeholders. Problem Solving: Ability to investigate data issues, validate tracking setups, and ensure data quality across implementations. NICE TO HAVES Experience with Mixpanel or event-based product analytics tools. Experience with mobile tracking concepts (SDKs, app events, React Native environments). Experience working with BigQuery and understanding data pipelines. WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS Hybrid work policy 4 weeks of Workation (T&C apply) 30 annual vacation days Occupational Pension 5,000 SEK wellness contribution annually Parental Leave Top-Up Possibility to enrol in a private health care insurance for both you and your partner 1,500 SEK equipment allowance Benify - benefits portal with many offers and discounts JOIN US! In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**