Data Analyst

Company Description

Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so With more than 51.000 colleagues in 30 countries, we rank as Europe's leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development.

The world is how we shape it. Let’s shape it together.

Job Description

As a Data Analyst at Sopra Steria, you will be at the forefront of helping clients turn data into actionable insights. You'll design, implement, and optimize scalable cloud-based data solutions that directly impact business performance. Acting as a bridge between Business and IT, you will translate complex business requirements into technical solutions and ensure alignment across teams. Working closely with business stakeholders, analysts, and IT teams, you'll assist in transforming complex data landscapes into streamlined, reliable, and efficient pipelines and analytics solutions. Your work will not only enable smarter decision-making but also drive innovation, efficiency, and sustainability for organizations across industries such as finance, utilities, and energy.

You will be part of a collaborative, agile environment where your expertise helps shape data strategies, improve data governance, and deliver high-quality, user-focused outcomes. This is your chance to contribute to meaningful projects that have a tangible impact while continuously developing your skills and career in cutting-edge data technologies.

Qualifications

We're looking for curious, motivated, and technically strong colleagues who thrive in dynamic environments and want to make a difference through data. If you recognize yourself in the qualifications below, we'd love to hear from you

Knowledge and experience

• At least 3 years of experience as a Technical Data Analyst, Data Engineer or similar role, working on enterprise data solutions.
• Strong proficiency in SQL and relational databases; experience with data warehouses and modeling concepts such as Kimball, Snowflake, SCD, or Data Vault.
• Hands-on experience with Microsoft Azure Cloud services (Databricks, Data Factory, Fabric, Data Lake, Azure DevOps) or equivalent cloud platforms.
• Experience with using and implementing AI in your and/or the client’s workflow.
• Strong analytical thinking, problem-solving, and the ability to translate complex data challenges into actionable solutions.
• Excellent communication skills, team spirit, and a proactive, solution‑oriented mindset.
• Business oriented focus, with the ability to translate business requirements into technical needs and visa versa.
• Experience with Agile, Scrum, kanban boards
• Proficient in English; knowledge of Dutch and/or French is required.

Bonus qualifications

• Experience with Power BI or similar visualization tools is a bonus.
• Programming experience in Python, PySpark, or similar languages for data processing, analytics, and automation.
• Designing, developing, and maintaining robust data pipelines and ETL workflows.

What can we offer you

At Sopra Steria, you'll join our Data Platform Modernisation Practice within the Data & AI team: a specialized group of consultants helping clients modernize the data landscape that supports reporting, analytics, AI and better decision‑making.

You'll work in an environment with a strong focus on AI, where we actively explore how artificial intelligence can improve our own ways of working and help clients unlock more business value from their data.

We invest in your growth through dedicated learning opportunities, including five mandatory training days each year and access to the Sopra Steria Academy, supported by a wider international network of experts.

We hire for talent and potential, not only for a perfect checklist match. If you are curious, motivated and eager to grow in data and AI, we want to help you develop further in a collaborative team where knowledge sharing, technical deep dives and coaching are part of the way we work.

Our work goes beyond technical expertise. We help organizations assess their current data landscape, identify where modernization creates value, design future‑ready cloud data platforms, integrate data across systems and guide the move from legacy environments to scalable, business‑aligned solutions.

You'll grow your expertise in data architecture, platform design, data integration, data modeling, cloud data platforms, migration strategy and stakeholder collaboration while contributing to meaningful client projects across industries.