Data Analyst - Apprenticeship (In Life)

Wed, 05/20/2026 - 06:23

At Sage, innovation starts with our people. With over 13,000 colleagues across 40 locations worldwide, supporting over 2 million customers, we’re united by a shared purpose: to transform the way millions of businesses work. As a global leader in AI, finance and HR software, we harness cutting-edge technology and forward-thinking ideas to simplify complexity and drive progress. At Sage, you’ll join a high achieving culture that values creativity, collaboration, and continuous learning—because together, we’re shaping the future of business software.

Start your career with Sage in France and make an impact from day one. Our ethos is simple: to help businesses thrive so they can support their communities and drive economic progress. At Sage, you’ll find a high performing environment where your ideas matter, your growth is encouraged, and your work will add value from day one. Start your journey with us and help shape the future of business across France and beyond.

Your role

The Customer Success team is looking for a Data Analyst apprentice to support the performance management of our activity through the analysis of customer and partner data.

You will play a key role in transforming complex data into clear, actionable insights, directly contributing to decision‑making and the improvement of customer retention.

Working closely with the Sales, Marketing, Product, and Support teams, you will analyse trends, build structured reporting, and help teams better understand their performance levers, in a fast‑evolving environment, particularly through the use of AI.

This role is intended for a curious, analytical, and innovation‑driven profile, looking to rapidly develop skills in a digital transformation context.

You will contribute directly to the performance of Customer Success initiatives by transforming data into actionable insights for internal teams.

This is a work‑study apprenticeship position (ideally based on a 3 days in company / 2 days at school schedule), starting in September 2026.

What this role will offer you

- Practical experience in data analysis within a Customer Success organisation;

- Direct exposure to AI tools and methods applied to customer data;

- Operational mastery of tools (CRM, SQL, Excel, Power BI);

- The opportunity to actively contribute to projects with strong business impact.

Profile we are looking for

- Work‑study programme (Bachelor’s level / Bac+3) specialising in data, analytics, digital marketing, or equivalent;

- Experience or strong foundations in data analysis — this is not a discovery role; we are looking for someone who has already worked with data;

- Strong interest in AI — existing foundations or a demonstrated ability to upskill quickly;

- Proficient in Excel and Power BI; initial knowledge of CRM tools (Salesforce, Dynamics) is appreciated;

- Fluent English (international environment);

- Passion for learning, curiosity, and initiative;

- Strong organisational skills, rigour, and ability to synthesise information.

Benefits

- Private health insurance (mutuelle);

- Meal voucher card (Ticket Restaurant);

- 80% reimbursement of public transport costs;

- CSE (works council) benefits and offers;

- Hybrid working, available under certain conditions;

- Work Away: up to 10 weeks per year from 40+ countries (subject to policy and eligibility);

- Sage Foundation: 5 paid volunteering days per year;

- Learning & development: 5 paid Sage learning days per year to build new skills.
What you will do:

Reporting & Data:

- Set up and produce dashboards and KPIs related to customer satisfaction and retention;

- Collect, structure, and analyse data from multiple sources (CRM, BI tools, internal tools);

- Build regular presentations for internal teams (Sales, Marketing, Leadership);

Customer Insights:

- Analyse customer feedback and segment the installed customer base;

- Formalise actionable insights for Sales, Product, Marketing, and Support teams, etc.;

- Set up alert and opportunity mechanisms based on existing data;

Artificial Intelligence:

- Explore and experiment with AI tools to optimise analysis and reporting processes;

- Identify opportunities for automation and improvement through AI;

- Actively monitor AI trends applied to Customer Success and data;

Operational Support:

- Contribute to documenting In‑Life processes;

- Propose improvements to cross‑team collaborative workflows;

- Contribute to structured projects (Customer Success platforms, analytics tools).

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