Data Sciences Assistant Manager

Company Description

About Sopra Steria
Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion.
The world is how we shape it.

Job Description

BI Solutioning & Data Engineering

• Design, build, and manage end-to-end Business Intelligence solutions, integrating structured and unstructured data from internal and external sources.

• Architect and maintain scalable data pipelines using cloud-native services (e.g., AWS, Azure, GCP).

• Implement ETL/ELT processes to ensure data quality, transformation, and availability for analytics and reporting.

Market Intelligence & Analytics Enablement

• Support the Market Intelligence team by building dashboards, visualizations, and data models that reflect competitive, market, and customer insights.

• Work with research analysts to convert qualitative insights into measurable datasets.

• Drive the automation of insight delivery, enabling real-time or near real-time updates.

Visualization & Reporting

• Design interactive dashboards and executive-level visual reports using tools such as Power BI, or Tableau.

• Maintain data storytelling standards to deliver clear, compelling narratives aligned with strategic objectives.

Stakeholder Collaboration

• Act as a key liaison between business users, strategy teams, research analysts, and IT/cloud engineering.

• Translate analytical and research needs into scalable, sustainable BI solutions.

• Educate internal stakeholders on the capabilities of BI platforms and insights delivery pipelines

Preferred:

Cloud Infrastructure & Data Integration

• Collaborate with cloud engineering teams to deploy BI tools and data lakes in a cloud environment.

• Ensure data warehousing architecture is aligned with market research and analytics needs.

• Optimize data models and storage for scalability, performance, and security.

Total Experience Expected: 06-09 years

Qualifications

Must

1. Bachelor’s/Master’s degree in Computer Science, Data Science, Business Analytics, or a related technical field.
2. 6+ years of experience in Business Intelligence, Data Engineering, or Cloud Data Analytics.
3. Proficiency in SQL, Python, or data wrangling languages.
4. Deep knowledge of BI tools like Power BI, Tableau, or QlikView.
5. Strong data modeling, ETL, and data governance capabilities.

Preferred

1. Solid understanding of cloud platforms (AWS, Azure, GCP), with hands-on experience in cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery)
2. Exposure to market intelligence, competitive analysis, or strategic analytics is highly desirable.
3. Excellent communication, stakeholder management, and visualization/storytelling skills.

Additional Information

At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.

All of our positions are open to people with disabilities.