Senior Data Management Professional - Content Acquisition Business Intelligence
at Bloomberg
USD 110,000-190,000 per year
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 7
SQL @ 7
Spark @ 7
Statistics @ 4
Machine Learning @ 4
Data Science @ 6
Data Engineering @ 6
Experimentation @ 4
Trino @ 4
Customer Support @ 4
AI @ 4
LangChain @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Bloomberg runs on data. Our products are fuelled 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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. As part of the Content Acquisition (CA) department, we're responsible for supporting the development, enablement, and implementation of data management protocols that enable the delivery of “ready-to-use” data.
Responsibilities
- Analyse complex datasets to find opportunities and inform product, content, operations, and risk decisions
- Define, own, and track outcome-focused metrics, using them to guide prioritisation and measure impact
- Build and iterate on datasets, dashboards and data workflows that enable decision-making across product, operations, and risk
- Leverage user behaviour and data usage patterns to shape product direction, operational improvements, and risk mitigation strategies
- Partner with collaborators across CA to align on priorities, scope solutions, and deliver measurable outcomes
- Communicate insights and recommendations clearly to senior partners to influence decisions and drive action
- Own validation of initiatives through pre- and post-launch activities (e.g., user interviews, surveys, performance tracking)
- Maintain clear and reliable documentation of datasets, methodologies, and analytical outputs
Requirements
- 4+ years of experience in data science, data engineering, or business intelligence
- Bachelor's degree or equivalent experience in Business, Finance, Technology, or a STEM-related field
- Strong proficiency in SQL, Python, and Spark for scalable data processing, modeling, and analysis
- Experience working across the modern data stack, including storage, query engines, and visualisation layers (e.g., S3, Spark, Trino, Qlik, Streamlit, or similar)
- Experience translating business requirements into scalable, production-grade data workflows, incorporating AI-assisted development and agent-based automation
- Hands-on experience in areas such as machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Demonstrated product thinking, with an ability to prioritise, balance trade-offs, and focus on delivering measurable outcomes
- Demonstrable ability to manage and deliver multiple projects with solid attention to detail
- Solid eye for business with experience synthesizing complex analyses into actionable recommendations
Nice to Have
- Experience designing and scaling agentic, AI-driven workflows using modern agent frameworks and orchestration tools (e.g., LangChain, MCP, or similar)
- Experience designing data-driven workflows with an understanding of business process modeling (e.g., BPMN) and organizational change principles
- Experience deploying ML models in production, including monitoring and performance optimisation
- Experience influencing senior partners to drive data-informed decisions
- Advanced degree or equivalent experience in Business, Finance, Technology, or a STEM-related field
Compensation & Benefits
- Salary Range: 110000 - 190000 USD annually + Benefits + Bonus
- Benefits may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) with match, life insurance, and wellness programs. (The Company does not provide benefits directly to contingent workers/contractors and interns.)