Senior Data Management Professional - Analytics Engineer - DMO BI

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 world. In 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 Data’s pursuit of data management excellence through aligning industry best practices with Bloomberg's 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 DMO’s 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.

What’s 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.

We’ll 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 it’s 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 Engineers to influence upstream tooling and architecture decisions.

Partner with engineers on performance, tooling, and modeling decisions, while remaining focused on the data layer itself

You’ll need to have:

*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

4+ years of experience as a BI analyst, analytics engineer, or similar data-focused role

Proven ability to turn messy, ambiguous data into trusted analytical assets

Comfort working under ambiguity and improving things incrementally

Strong collaboration skills and interest in learning a data domain deeply

Ability to translate semi-structured producer data into stable analytical schemas (OLTP to OLAP)

Deep hands-on experience with:

SQL-based data modeling

PySpark and Pandas/Polars

Analytical dataset design

Performance and efficiency considerations

Storage/layout optimization for analytical tables

Designing for schema evolution

Source validation and data profiling

We would love to see:

Experience working with complex or regulated datasets

Experience using Bloomberg Terminal and Company Financials products

Exposure to data product or platform-style thinking

Experience partnering closely with domain experts or SMEs

Experience driving adoption of new systems

Interest in data governance, ownership, and reuse patterns

Familiarity with modern table formats and distributed query engines at scale (e.g., Iceberg/Delta; Trino/Spark or equivalents)

Exposure to high-concurrency BI serving patterns (OBT)

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

Accommodations

Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.

Equal Opportunity