Bloomberg's Business Intelligence team in New York City is seeking a Senior Data Management Professional to anchor analytics with a solid data foundation. This onsite role, offering a salary range of USD 110,000 to 190,000 per year, focuses on building and evolving Foundational Reporting Datasets, translating complex financial data into stable analytical schemas, and enabling self-service insights across the reporting platform.
Responsibilities
- Develop, maintain, and advance Foundational Reporting Datasets that serve as the analytical backbone for reporting and analysis
- Write and optimize SQL to cleanse, shape, and model noisy real-world data into performant, reusable datasets
- Create modular, version-controlled SQL and PySpark, implementing CI/CD processes and automated data testing to ensure pipeline reliability
- Design storage layouts, partitioning strategies, and high-concurrency serving patterns (such as One Big Table) for BI consumers
- Implement robust source validation, data profiling, and observability checks to foster trust in the data
- Balance correctness, scope, performance, and documentation, and reason about data semantics and grain
- Collaborate with domain experts and stakeholders to understand how data is produced, interpreted, and used
- Develop domain intuition over time by learning why data behaves as it does, not solely how it’s structured
- Represent data accurately in cross-functional discussions
- Identify analytical tasks that merit formalization into reusable data products
- Help delineate foundational datasets from decision-specific, reusable data products
- Partner with Product Managers to assess roadmap feasibility and collaborate with Software Engineers to influence upstream tooling and architecture
- Collaborate with engineers on performance, tooling, and modeling decisions while focusing on the data layer
Requirements
- 4+ years of experience as a BI analyst, analytics engineer, or similar data-focused role
- Proven ability to transform messy, ambiguous data into trusted analytical assets
- Comfort operating under ambiguity and delivering incremental improvements
- Strong collaboration skills and interest in deeply learning a data domain
- Ability to translate semi-structured producer data into stable analytical schemas (OLTP to OLAP)
- SQL-based data modeling
- Proficiency with PySpark and Pandas/Polars
- Analytical dataset design and consideration of performance and efficiency
- Storage and layout optimization for analytical tables
- Experience designing for schema evolution
- Source validation and data profiling
Technologies
- SQL
- PySpark
- Pandas
- Polars
- Iceberg
- Delta
- Trino
- Spark
Benefits
- Merit increases
- Incentive compensation for eligible roles
- Paid holidays
- Paid time off
- Medical, dental, and vision coverage
- Short- and long-term disability benefits
- 401(k) with company match
- Life insurance
- Wellness programs
Accommodations
Bloomberg provides reasonable adjustments to applicants with disabilities. If you require an adjustment or accommodation to apply, please contact the recruitment team. Examples include changes to the application process or work procedures, alternate document formats, or specialized equipment. To request an adjustment, please email AMER_recruit@bloomberg.net.
Equal Opportunity
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. The company is committed to providing equal opportunity and access for all individuals, and aims to attract, retain, develop, and promote the most qualified people without regard to age, ancestry, color, gender identity or expression, genetic information, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, or disability.
