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 United Kingdom.
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.
Accountabilities
- 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.
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