Senior Data Management Professional Analytics Engineer DMO BI

Senior Data Management Professional - Analytics Engineer - DMO BI

Location

London

Business Area

Data

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Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients around the clock from around the Data we are responsible for delivering this data news and analytics through innovative technology quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems products and processes.

Our Team

The Data Management Operations (DMO) sits within the Data organization and supports Datas pursuit of data management excellence through aligning industry best practices with Bloombergs established expertise in financial market data. DMO empowers our data professionals to make their products ready-to-use through promoting increased data discoverability accessibility appraisability interoperability and analysis-readiness.

The Business Intelligence team sits alongside our Data Quality and Process teams and supports DMOs mission by empowering data teams and stakeholders to make informed data-driven decisions from a client perspective. As a member of the Business Intelligence team you will play a critical role in transforming data into actionable insights that drive operational performance and strategic outcomes across the organization.

We partner closely with Data product teams and Engineering counterparts to deliver scalable analytics reporting and data products that support client-facing workflows. Primary themes in this role include developing and standardizing analytical frameworks building high-impact dashboards and data assets and enabling self-service analytics across the department. You will also contribute to advancing our analytical capabilities moving beyond descriptive reporting toward more diagnostic and predictive insights that help teams understand not just what is happening but why and what to do next.

Whats the Role

As a Senior Data Management Professional within the Business Intelligence team you will play a key role in shaping and evolving the analytical data foundations that power our reporting platform.

This is a hands-on data-focused role centered on building modeling and optimizing analytical datasets. You will own and evolve Foundational Reporting Datasets (FRDs) ensuring they are accurate performant reusable and aligned with domain realities. You will work closely with domain experts Product and Engineering partners to translate complex real-world financial data into stable analytical schemas that support scalable reporting and reuse.

Your work will directly influence how data is trusted modeled and reused across teams balancing immediate analytical needs with long-term scalability and governance.

Well trust you to:

• Build maintain and evolve Foundational Reporting Datasets (FRDs) that serve as the analytical backbone for reporting and analysis
• Write and optimize SQL queries to clean shape and model noisy real-world data into performant reusable datasets
• Write modular version-controlled SQL and PySpark and implement CI/CD processes and automated data testing to ensure pipeline reliability.
• Design storage layouts partitioning strategies and high-concurrency serving patterns (like One Big Table) for BI consumers.
• Implement robust source validation data profiling and observability checks so stakeholders have absolute trust in the data.
• Make pragmatic tradeoffs around correctness scope performance and documentation reasoning about data semantics and grain
• Work closely with domain experts and stakeholders to understand how the data is produced interpreted and used
• Actively build domain intuition over time learning why the data behaves the way it does not just how its structured
• Represent the data accurately and confidently in cross-functional discussions
• Identify analytical work that is worth formalizing into reusable data products
• Help define clear boundaries between foundational datasets and decision-specific reusable data products
• Partner with Product Managers to define roadmap feasibility and work alongside Software…