Engineer, Index Business Intelligence (Data Programming & Analytics) in Tremblay-en-France, Île-de-France at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Engineer, Index Business Intelligence (Data Programming & Analytics) in France.

This role sits at the intersection of data engineering, business intelligence, and market analytics, supporting the delivery of high-impact insights that shape strategic and commercial decisions. You will work within a highly analytical environment where large-scale datasets are transformed into structured, automated, and reusable reporting solutions. The position requires a strong programming mindset and the ability to translate complex, often ambiguous business questions into reliable data models and actionable insights. You will collaborate closely with cross-functional teams including Sales, Product, Finance, Research, and Legal. This is a hands-on role focused on building scalable data pipelines, improving reporting efficiency, and enabling data-driven decision-making across the organization. You will contribute directly to the quality and consistency of critical index-related intelligence used across global markets.

• Own the development, automation, and delivery of recurring business intelligence and index reporting, ensuring accuracy, consistency, and timeliness.
• Build and maintain scalable data pipelines and automated workflows using Python, R, and SQL to replace manual reporting processes.
• Design and deliver analytical products such as dashboards, KPI scorecards, compliance summaries, client profiles, and performance reports.
• Develop reusable and well-documented datasets to enable self-service analytics and consistent metric definitions across teams.
• Implement robust data quality frameworks, including validation checks, anomaly detection, reconciliations, and trend monitoring.
• Maintain clear documentation of data logic, transformations, assumptions, and metric definitions to ensure reproducibility.
• Translate ambiguous business requirements into structured datasets, measurable KPIs, and technical solutions.
• Communicate technical findings, constraints, and tradeoffs in clear, accessible language for non-technical stakeholders.

Requirements:

• Minimum 5+ years of experience in data engineering, analytics engineering, BI analytics, or advanced data analysis roles.
• Strong proficiency in Python (especially pandas) or R, and advanced SQL skills.
• Proven experience working with large datasets and building scalable, repeatable data pipelines.
• Experience designing and automating reporting solutions and analytical workflows.
• Strong analytical thinking, attention to detail, and ability to independently resolve data inconsistencies.
• Demonstrated ability to collaborate across functions and translate business needs into technical data solutions.
• Experience working with data validation, transformation logic, and metric standardization.
• Strong communication skills with the ability to explain complex technical concepts clearly.
• Preferred: experience with regulatory or audit-related data frameworks, especially using LLMs.
• Preferred: familiarity with financial services, asset management, or regulatory reporting environments.
• Preferred: exposure to international financial regulatory frameworks.

Benefits:

• Competitive compensation package aligned with experience and market standards.
• Comprehensive health and wellness coverage supporting physical and mental well-being.
• Flexible time off to support work-life balance and personal well-being.
• Remote and flexible working arrangements (role dependent).
• Continuous learning opportunities and access to professional development resources.
• Financial benefits including retirement planning and education support programs.
• Family-friendly benefits and support for dependents.
• Employee discounts, referral programs, and additional lifestyle perks.
• Opportunity to work on globally recognized financial data and index solutions.
• Inclusive, collaborative, and merit-based work environment.