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Sopra Steria

3 months ago

Senior Analytics Engineer - Sopra Steria Next - IDF

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Company information

Company
Sopra Steria
Location
France, Ile-de-France, Hauts-de-Seine, Nanterre, Courbevoie France
Posted
3 months ago
View all jobs at Sopra Steria

Job description


Company Description

Sopra Steria Next is the digital transformation consulting brand of the Sopra Steria Group. Its 3,400 consultants in Europe design visionary, truly actionable strategies and commit to tangible results for companies, their employees, and their customers.

Sopra Steria Next is part of the Sopra Steria Group, a major Tech player in Europe, recognized for its consulting, digital services, and software publishing activities. The Group offers a comprehensive response to the competitiveness challenges of large companies and organizations, combining in-depth knowledge of business sectors and innovative technologies with a resolutely collaborative approach.

Sopra Steria places people at the heart of its actions and is committed to its clients to make the most of digital technology to build a positive future. In 2024, the Group achieved a turnover of 5.8 billion euros.

The world is how we shape it*


Job Description

Within Sopra Steria Next, you will join the Data division and more specifically the Analytics & Visualization team.

This team supports business departments and IT departments in leveraging their data, with a clear objective: to design and industrialize analytical solutions enabling better decision-making, at the organizational level.

Our approach is based on three pillars:

  • the implementation of scalable analytics solutions
  • the business valorization of data (data insights, performance, steering)
  • the development of modern, accessible, and usage-oriented data visualization

Work Environment

You will work on high-stakes Data projects, in direct liaison with business and IT teams:

  • Modernization and migration of BI platforms
  • Deployment of data visualization and self-service analytics solutions
  • Construction of analytical data products
  • Industrialization of analytics and AI uses

You will work in close collaboration with:

  • Data Engineers, Data Architects
  • Data Scientists (particularly via Dataiku)
  • Business teams and operational departments

Main Technologies: Power BI, Tableau, Qlik, Dataiku

Your Missions

Design of Analytics Solutions

  • Design analytical data models (data marts, semantic models)
  • Structure datasets adapted to business uses and decision-making
  • Adopt a data product approach (reusability, quality, governance)
  • Ensure performance, scalability, and maintainability

Data Visualization & Advanced BI

  • Develop advanced analytical dashboards and applications
  • Implement solutions on:
    • Power BI
    • Tableau
    • Qlik
  • Apply the principles of data storytelling, UX, and data literacy
  • Optimize report performance (volume, response time)

Advanced Analytics & AI

  • Utilize Dataiku to industrialize analytical use cases
  • Integrate augmented analytics logic (AI, automation, guided exploration)
  • Facilitate the valorization of data science outputs in BI tools
  • Participate in the convergence between BI, advanced analytics, and AI

Business Interaction & Adoption

  • Facilitate workshops with business departments and understand analytical needs
  • Translate needs into concrete analytical products
  • Support tool adoption (self-service, data acculturation)
  • Contribute to the data maturity of organizations

Contribution to Projects & Offer

  • Participate in Analytics scoping phases
  • Contribute to tool and architecture choices
  • Participate in POCs or demonstrators
  • Contribute to offers

Qualifications

Education & Experience

  • Master's degree (Bac+5) in IT, data, or information systems
  • 5 to 8 years of experience in BI / Analytics / Data
  • Proven experience in data visualization and data valorization

Technical Skills

  • Expertise in at least two tools: Power BI, Tableau, Qlik
  • Experience with Dataiku or comparable platform
  • Analytical modeling (data marts, star schema, semantic layer)
  • Advanced SQL
  • Knowledge of modern Data architectures (DWH, Data Lake)
  • Strong sensitivity to performance and UX Analytics issues

Functional Skills & Posture

  • Ability to understand business challenges and translate them into analytical solutions
  • Mastery of concepts:
    • Data storytelling
    • Self-service analytics
    • Data literacy
  • Ability to bridge the gap between: raw data → insight → business decision
  • Autonomy, rigor, and a focus on delivery

Positioning & Differentiation

You will join a team:

  • Positioned on end-to-end topics (data → insight → usage)
  • Committed to modern approaches:
    • data product
    • augmented analytics (AI)
    • self-service and industrialization
  • Supported by strong partnerships: Microsoft / Dataiku / Tableau / Qlik

Additional Information
  • A remote work agreement to work remotely up to 2 days per week depending on your assignments
  • Inspiring new offices and a pleasant work environment certified Great Place To Work in La Défense and in several major cities in France.
  • An attractive benefits package: health insurance, employee welfare committee, meal vouchers, profit-sharing agreement, vacation and co-option bonuses
  • Individualized support with a mentor of your choice
  • Multiple career opportunities: over 30 job families, as many bridges to imagine together
  • Several hundred training courses accessible autonomously from the mobile app with Sopra Steria Academy
  • Programs to accelerate the progression and promotion of women in the company at all levels
  • The opportunity to engage with an association through our citizen engagement platform

Perspectives

  • Evolution towards Lead Analytics / Data Visualization Expert roles
  • Specialization in an ecosystem (Power BI, Tableau, Dataiku)
  • Evolution towards roles such as:
    • Data Architect
    • Analytics Lead
    • Data Manager

As an inclusive and committed employer, our company works every day to combat all forms of discrimination and foster a respectful work environment. Therefore, committed to diversity and inclusion, we encourage all applications and all profiles.

https://www.soprasteria.fr/nous-connaitre/nos-engagements

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