Business Intelligence Technical Lead
Ipsos
Paris, France
11 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Paris, France
Tech stack
.NET
LTE (Telecommunication)
Artificial Intelligence
Data analysis
Business Intelligence
C Sharp (Programming Language)
Cloud Computing
Code Review
Information Systems
Information Engineering
Data Governance
Data Infrastructure
ETL
Data Warehousing
Python
Microsoft SQL Server
Query Optimization
Power BI
SQL Stored Procedures
SQL Databases
Data Ingestion
Database Optimization
Software Troubleshooting
Technical Debt
Data Layers
Information Technology
Machine Learning Operations
Cloud Migration
REST
Job description
As BI Technical Lead, you will be responsible for:
- Enforcing and improving BI technical standards and best practices
- Leading the modernisation of the data platform (cloud migration, architectural redesign, tooling evolution)
- Participating in the high-quality delivery of reports and analytics
- Acting as a key bridge between developers and Global Infrastructure, DBAs and Security teams
- Owning the technical health, delivery capability, and long term evolution of the BI platform - while remaining hands-on and providing technical direction, coaching, and code reviews.
What will I be doing? Technical Leadership & Architecture
- Act as the technical lead and reference point for BI development
- Lead the BI technical roadmap in alignment with business priorities and the BI Global Director
- Design end-to-end BI solutions covering data ingestion, storage, transformation, semantic layers, and reporting
- Enforce data governance, documentation, and development standards
- Ensure consistency, scalability, and security across BI environments
- Foster a culture of high-quality documentation and shared code ownership
Data Engineering & BI Delivery
- Oversee and contribute to data modelling, SQL query development and optimisation, views, stored procedures, and pipelines
- Maintain data validation, reconciliation, and audit controls
- Support complex financial initiatives such as data migrations (including M&A contexts), integration of new source systems, and budget/scenario simulations
- Provide hands-on support for critical production issues and performance bottlenecks
Data Platform Modernisation Project & AI
- Rationalise technical debt and optimise platform performance and cost
- Take ownership of existing ML pipelines supporting statistical projections
- Bring AI and Machine Learning capabilities in-house within the BI function
- Technically lead a Data Platform Modernisation initiative, including potential migration of on-premise SQL-based data warehouses to the cloud and redesign of legacy ETL pipelines into modern, scalable data integration patterns, * Ownership of a Data Platform Modernisation journey, shaping how analytics is delivered enterprise-wide
- Exposure to senior stakeholders and decision-makers across Finance and IT
- An international, innovative environment with real-world business impact
Requirements
Do you have experience in SQL?, Do you have a Master's degree?, * Skilled in SQL Server, data warehousing, .Net, C# and cloud technologies with proven expertise in business intelligence and data platform architecture.
- Experienced in ETL/ELT design, data modelling and cloud migration of SQL Server data warehouses.
- Proficient in RESTful APIs, PowerBI/DAX, Python, database tuning, query optimization, and performance troubleshooting.
- Knowledge of key financial concepts, budget/forecast scenario modelling, and ensuring data quality and auditability in financial reporting contexts.
Soft & Leadership Skills
- Strong English communication skills, comfortable working in an international, distributed, and virtual (remote) environment
- Analytical mindset with strong problem-solving capabilities
- Ability to manage priorities under pressure and maintain delivery focus
- Coaching mindset and willingness to develop others, * Master's degree in Computer Science / Information Systems with strong Finance exposure
- 5+ years of experience in BI, Data Engineering or Analytics roles
- Previous experience in a corporate finance or enterprise BI context strongly preferred
If you do not have all of the above but a great deal, we encourage you to apply as well.