- Company Name
- Groupe Caisse des Dépôts
- Job Title
- CDD 6M Data Analyst Senior
- Job Description
-
**Job Title**
Senior 6‑Month CDD Data Analyst
**Role Summary**
Analyze internal and external client data to generate operational indicators that inform commercial strategy and client‑centric decision making. Coordinate data integration from data lakes, internal systems, and surveys; document findings; and drive data industrialization projects in an agile environment.
**Expectations**
- Deliver actionable insights that shape commercial plans for diverse client categories (territorial authorities, public institutions, legal professionals, housing agencies, and co‑investor companies).
- Own end‑to‑end data projects, from requirement gathering through implementation and monitoring.
- Represent the analytics team in cross‑functional meetings, providing clear summaries and early risk alerts.
- Champion data quality, governance, and accessibility across the organization.
**Key Responsibilities**
- Build and validate operational indicators using data from data lakes, internal information systems, external sources, and client surveys.
- Integrate heterogeneous data sets, ensuring alignment with the organization’s data governance framework.
- Produce analytical reports, dashboards, and presentations tailored to commercial, network‑animation, and digital teams.
- Lead the planning and execution of data‑industrialization initiatives (e.g., “La Ruche” PI planning), maintaining timelines and stakeholder alignment.
- Conduct advanced analysis (segmentation, typology, trend analysis) on client survey data to enhance customer knowledge initiatives.
- Collaborate with the Strategy, Client & Commercial, Knowledge, and Network Animation teams to embed insights into commercial activities and exploration of new market opportunities.
- Track project progress, deliver status updates, and manage risks for senior leadership and project partners.
**Required Skills**
- Advanced data analysis and statistical modeling.
- Proficiency in SQL, Python or R, and data‑visualization tools (Tableau, Power BI, Looker).
- Experience with data lakes, data warehousing, and data integration pipelines.
- Strong understanding of survey design, quantitative and qualitative data analysis, and customer segmentation.
- Project management skills, including agile planning and PI ceremonies.
- Excellent written and verbal communication; ability to translate technical findings into business insight.
- Stakeholder management and cross‑functional collaboration.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
- Minimum 5 years of professional data‑analysis experience, preferably in finance, consulting, or a client‑servicing environment.
- Certifications such as Certified Analytics Professional (CAP), Microsoft Power BI, Tableau Desktop Specialist, or equivalent are desirable.
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