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About the Role
We are seeking a Senior Data Analyst to join our Data & Analytics community. Your role will involve going beyond simple reporting to identify weak signals, explain performance, and inform strategic client decisions. Your value will be measured by your ability to ask the right questions, challenge assumptions, and transform data into concrete, actionable recommendations. You will support major clients in their data transformation journey by combining analytical expertise, visualization, business understanding, and generative AI innovations.
Responsibilities
- Gather, understand, and challenge business needs to identify steering, performance, and decision-support issues.
- Explore and analyze data from multiple sources to identify trends, correlations, signals, and improvement opportunities.
- Define and build relevant KPIs aligned with clients' strategic and operational objectives.
- Translate complex data into clear, actionable recommendations using data storytelling techniques tailored to different audiences.
- Design interactive dashboards and reports using data visualization tools like Power BI to enhance understanding, analysis, and decision-making.
- Ensure the quality, reliability, and consistency of data used in analyses and reports.
- Collaborate closely with Data Engineering teams to formalize data needs, improve analytical models, and ensure reliable usage.
- Write functional specifications and document analyses, metrics, and business rules.
- Leverage AI and generative AI capabilities to accelerate data exploration, analysis, insight generation, and the production of high-value deliverables.
- Utilize advanced Power BI features (Copilot, natural language Q&A, Smart Narratives, anomaly detection, automated analysis) to enrich the decision-making experience.
- Support users in adopting tools, understanding indicators, and developing a data culture within organizations.
- Benchmark solutions and advise clients on data & analytics technologies to adopt based on their needs.
- Conduct Proofs of Concept (POC) on modern data platforms and data visualization tools.
- Animate the Data & AI community through experience sharing, internal conferences, mentoring, training, and technological watch.
Requirements
- Proven experience in high-stakes data & analytics projects, combining data transformation and decision-making restitution.
- Advanced proficiency in Power BI: semantic modeling, DAX, Power Query, interactive dashboard design, and performance optimization.
- Excellent ability to explore, analyze, and interpret data to identify trends, opportunities, risks, and performance levers.
- Strong culture of analysis restitution, data storytelling, and UX applied to data visualization, with the ability to adapt messages to various audiences.
- Proficiency in data analysis techniques: segmentation, behavioral analysis, performance analysis, correlations, anomaly detection.
- Knowledge of Power BI's AI features (Copilot, natural language Q&A, Smart Narratives, automated analysis) to enhance analyses and accelerate insight production.
- Solid mastery of SQL for data exploration, analysis, and preparation.
- Experience with data preparation tools (DBT, Dataiku, Alteryx).
- Good understanding of data models and modern analytical architectures.
- Awareness of data quality, reliability, and governance issues.
- Ability to leverage diverse data sources and cross-reference multiple information points to build high-value analyses.
- Mastery of AI and generative AI uses to accelerate data exploration, insight discovery, and the production of analytical deliverables.
- Ability to use AI assistants to enrich analyses, automate investigations, and improve the decision-making experience.
- Awareness of data traceability, quality, security, and governance concepts.
- Experience with modern analytical environments: Databricks, Snowflake, BigQuery, Microsoft Fabric, or equivalent platforms.
- Understanding of data storage, transformation, and exposure principles in modern analytical platforms.
- Experience working in agile methodologies (Scrum, Kanban, SAFe).
- Ability to communicate with various stakeholders: business, technical teams, and management.
- Proficiency in collaborative and project management tools (Jira, Confluence, Azure DevOps, Microsoft Teams...).
- Good professional English level (oral and written) - minimum B2.
Skills
- Data Analysis
- Data Visualization
- Power BI
- DAX
- Power Query
- SQL
- Data Storytelling
- Data Preparation
- DBT
- Dataiku
- Alteryx
- Data Modeling
- Analytical Architecture
- Data Quality
- Data Governance
- AI
- Generative AI
- Databricks
- Snowflake
- BigQuery
- Microsoft Fabric
- Agile Methodologies
- Scrum
- Kanban
- SAFE
- Jira
- Confluence
- Azure DevOps
- Microsoft Teams
- English
Location
- France
Work Type
- Full-time
- Remote (up to 5 days depending on mission)
Experience Level
- Senior
- Minimum 7 years of experience in data analysis
- Significant experience combining data visualization and insight proposal
Education Level
- Master's degree (Bac +5) in engineering school, university, or equivalent
Salary/Compensations
- EUR 50000 - EUR 55000
Benefits
- Training plan for career development (vendor training, certifications)
- Close management by experts
- Modern offices in the city center
- Top 5 in Great Place to Work ranking
- Equipment allowance of €100
- Mobility in France and abroad
- Top 1% of companies evaluated by Ecovadis in social, environmental, and ethical domains
- Meal vouchers
- Vacation bonus
- 50% public transport subsidy
- Health insurance
- Disability support (dedicated consultant for employees with disabilities and their caregivers)
- Employee share ownership
- Referral bonus
- Reduced working time (RTT)
About the Company
- Founded in France, Talan is an international group that supports clients in their Data & AI transformation from end-to-end, combining management consulting and technological expertise.
- With over 6000 employees across 5 continents, we accelerate client transformations through long-term partnerships, creating measurable and sustainable impact.
- Our value proposition is based on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and a laboratory for applied research, experimental development, and innovation.
- We have been translating technological innovation into competitive advantage for over 20 years in strategic sectors: banking and financial services, energy, transport and mobility, luxury and retail, and health.
- Driven by its promise of Positive Innovation, Talan is a benchmark player in addressing the growing complexity of economic, technological, and regulatory environments.
- Talan is a responsible company committed to diversity. Workplace accommodations can be made to take into account people with disabilities.
Equal Opportunity
- Talan is a responsible company committed to diversity. Workplace accommodations can be made to take into account people with disabilities.