Data Analyst - ED&A

Capgemini Invent; Diegem; On-site; EUR 60,000 - 85,000; Full time

Benefits offered by this job

Company car or mobility budget

Fringe benefits

Career growth opportunities

Flexible working hours

Teleworking options

Certifications and training

Job summary

Capgemini Invent is seeking a Data Analyst for its Data & AI team in Belgium. You will design and maintain SQL-based ETL pipelines, apply data quality checks, and leverage Python and Databricks to scale data processes.

You will build BI dashboards and collaborate with stakeholders to turn insights into decisions. The role requires 2–5 years of experience, English plus Dutch or French, and a collaborative mindset in a dynamic consulting environment.

Qualifications

• 2–5 years of experience in data analytics or similar roles.
• Strong SQL experience for querying, transforming, and modeling data.
• Experience building ETL/ELT pipelines (e.g., dbt).
• Familiarity with cloud data platforms is an asset.
• Experience with BI tools to build dashboards and reporting.
• Ability to translate data into business insights.
• Excellent communication with both business and technical audiences.
• Fluency in English and Dutch or French.

Responsibilities

• Design, build, and maintain SQL-based ETL/ELT pipelines.
• Apply data quality and lineage checks on large datasets.
• Use Python and Databricks to automate data processes.
• Convert business questions into analyses and actionable recommendations.
• Build and maintain BI dashboards and self-serve reporting (Power BI, Tableau).
• Partner with stakeholders to translate findings into decisions.
• Present findings and iterate analyses based on feedback from stakeholders.

Skills

SQL querying

Python

BI storytelling

Strong communication

Growth mindset

English and Dutch/French fluency

Tools

dbt

Power BI

Tableau

Looker

Databricks

Claude AI

Job description

Capgemini Invent enables company leaders to envision and shape the future of their businesses. Located in more than 30 offices and creative studios around the world, Capgemini Invent brings together a 1,000+ strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products and business models for sustainable growth.

From wrangling large datasets to sitting across the table from the people who need answers from them — if that range excites, we have an exciting opportunity for you to join Capgemini Invent's Data & AI team as a Data Analyst. This role puts you at the centre of how our clients turn data into action, from first query to final recommendation.

YOUR ROLE

As a Data Analyst, you sit at the intersection of data, technology, and business. You build and maintain the data pipelines that underpin reliable analysis, apply AI tools such as Claude and business intelligence platforms to accelerate and scale that analysis, and partner directly with stakeholders to ensure findings translate into decisions.

Your Role Includes

Data foundation & engineering

• Design, build, and maintain SQL-based ETL/ELT pipelines that prepare data for analysis at scale
• Apply sound judgement on data quality, structure, and lineage when working with large or imperfect datasets
• Use Python and platforms such as Databricks to automate and scale recurring data processes

Insight generation & acceleration

• Convert business questions into structured analyses and clear, actionable recommendations
• Use AI tools such as Claude to accelerate querying, coding, and documentation, prioritising judgement over manual effort
• Build and maintain BI dashboards and self-serve reporting (e.g. Power BI, Tableau) that give stakeholders direct access to insights

Stakeholder partnership

• Partner with business stakeholders to understand priorities, constraints, and the questions that matter most
• Present findings and trade-offs in terms that resonate with both business and technical audiences
• Iterate analyses based on stakeholder feedback to ensure recommendations are adopted, not just delivered

YOUR PROFILE

We are looking for analysts with 2–5 years of experience across several of the following:

• Strong hands-on experience with SQL for querying, transforming, and modelling data at scale
• Practical experience building ETL/ELT pipelines, e.g., with dbt
• Exposure to cloud data platform is an asset
• Comfort applying AI tools such as Claude to accelerate analysis, coding, and documentation
• Experience with BI tools (e.g. Power BI, Tableau, Looker) to build dashboards and reporting
• Proven ability to translate data into insights that inform business decisions
• Strong communication skills, with the ability to engage confidently across business and technical audiences
• A growth mindset, with curiosity and a strong willingness to learn and develop
• Ability to quickly learn new tools, technologies, and business contexts
• A collaborative mindset and willingness to learn from and contribute to the wider team
• Fluency in English and Dutch or French

We're building a team for the future, not hiring against a checklist. If you're excited by the role and believe you can make an impact, we'd love to hear from you.

What You’ll Love About Working Here

At Capgemini, we actively embody our motto: 'Make it real':

• A stimulating and intellectually challenging role within a leading management consulting company
• An interesting salary package including a company car or mobility budget, fringe benefits
• A clear and direct career path with ample growth potential, within a dynamic and diverse team
• Autonomy to shape your growth path, with opportunities to work on initiatives that align with your interests and capabilities
• Access to training and development opportunities, including certifications from our partner network, to support your professional ambitions
• Flexible working arrangements, encompassing teleworking, flexible working hours, and opportunities for working abroad
• Personalized mentoring provided by a dedicated counselor to facilitate your personal and professional growth within the organization
• An inspiring and collaborative atmosphere, emphasizing team building, engaging team events, and a touch of after-work enjoyment!