Data Analyst at Sopra Steria

, , Belgium -

Full Time

Start Date

Immediate

Expiry Date

11 May, 26

Salary

0.0

Posted On

10 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, ETL Workflows, Data Pipelines, Relational Databases, Kimball Modeling, Snowflake, Data Vault, Python, PySpark, Microsoft Azure Cloud Services, Databricks, Data Factory, Synapse, Data Lake, Azure DevOps, Power BI

Industry

Information Technology & Services

Description

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 nearly 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 transform 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 meet most of the qualifications below, we’d love to hear from you! You’ll have knowledge and experience in: At least 3 years of experience as a Data Engineer, Technical Data Analyst, or similar role, working on enterprise data solutions. Designing, developing, and maintaining robust data pipelines and ETL workflows. Strong proficiency in SQL and relational databases; experience with data warehouses and modeling concepts such as Kimball, Snowflake, SCD, or Data Vault. Experience with using and implementing AI in your and the client’s workflow is a plus. Programming experience in Python, PySpark, or similar languages for data processing, analytics, and automation. Hands-on experience with Microsoft Azure Cloud services (Databricks, Data Factory, Synapse, Data Lake, Azure DevOps) or equivalent cloud platforms. Experience with Power BI or similar visualization tools. 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. Proficient in English; knowledge of Dutch and/or French is required. What to expect from working at Sopra Steria Become part of a major Tech player in Europe that is recognised for consulting, digital services and software development. Work among high-level professionals who dare to make bold choices to deliver results. Additionally, you’ll join our Data & AI team, where we support enterprises and institutions to become more data driven, and assist our clients to increase business efficiency and create impact with data. We offer a complete portfolio of Services and Solutions to unburden organisations in every step of their transition: from defining and executing the data strategy and governance, over setting up data platforms, to visualizing dashboards and applying the latest data science and artificial intelligence methodologies. Additional Information This is what you’ll get from us Are you ready to further develop your career? Then we’d love to point you in the right direction. With offices in more than 30 countries, that direction might lead you to places you’ve never been to before. Would you prefer to grow internally? That’s possible, too. We challenge you to keep pushing yourself to become the best you can be. We offer a generous employee benefits package that includes: A competitive salary and an indefinite contract A company car or mobility budget Comprehensive insurance coverage (hospitalisation, outpatient care and group insurance) 32 days paid time off (20 days + 12 bonus days) Flexible, location-independent work Laptop, phone and mobile subscription Continuous learning opportunities through the Sopra Steria Academy to support your career development Ready to take the next step? We’re here to support you all the way and we are looking forward to your application! ______ Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences.

Responsibilities

The Data Analyst will design, implement, and optimize scalable cloud-based data solutions to turn data into actionable insights for clients. They will act as a bridge between Business and IT, translating complex requirements into technical solutions and ensuring alignment across teams.