Data Analyst - Vitamin Well Group

Vitamin Well Group develops premium functional drinks, snacks and protein products designed for modern, everyday life and on-the-go consumption. Our portfolio includes Barebells, NOCCO and Vitamin Well. With over 750 employees and revenue of more than SEK 10 billion, we are present in over 50 markets, with our headquarters in Stockholm and local teams and partners around the world. Our growth is driven by a focus on building strong brands, creating products with uncompromising taste and clear functionality, and consistently raising the bar across our categories.

We are building a team to lead the next phase of Vitamin Well Group’s digital business. We work across e-commerce, data and AI, with a clear focus on shaping the technology and capabilities that will drive how our digital business operates and grows.

We are now looking for an Data Analyst to strengthen the data foundation behind that journey. You will work across the full data lifecycle – from ingestion, modelling and quality to dashboards, analysis and operationalization – turning data into something teams can trust, understand and act on.

This is an opportunity to join while much of our data capability is still taking shape. Rather than stepping into a finished setup, you will work closely with our Analytics Lead and AI Lead to influence how we structure, connect and use data across our digital business.

About the role

As an Data Analyst, you will work at the intersection of data engineering, analytics and business. The role extends beyond building reliable data models: you will help make data accessible, actionable and valuable in driving better decisions across the business.

You will develop reusable models and pipelines, strengthen data quality and create dashboards and self-serve analytics that give teams direct access to the metrics they need. At the same time, you will work closely with colleagues across Digital Sales, CRM, Performance Marketing, Organic and Paid Social, Product and Engineering to solve real business problems with data.

That could mean modelling customer and transaction data, connecting a new marketing data source, improving how we measure retention or LTV, or taking an open-ended business question and turning it into an analysis that leads to action.

Your responsibilities will include:

• Build and maintain reliable, reusable data models and transformations, with a strong focus on data quality, testing and observability.

• Develop data pipelines, ingestion and integrations across our digital data ecosystem.

• Create dashboards and self-serve analytics that enable global and local teams to access, understand and act on their KPIs.

• Translate open-ended business questions into structured models, analysis and actionable insights.