Senior Data Management Professional - Company Financials Foundational Support
Used Tools & Technologies
Machine LearningRequired 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
Tableau @ 4
ETL @ 3
Communication @ 4
Data Analysis @ 7
API @ 3
BI @ 4
Project Management @ 7
QA @ 4
LLM @ 3
.NET @ 4
Power BI @ 4
Agile @ 4
AI @ 3
Data Visualization @ 4
Profiling @ 4
Data Pipelines @ 3
- 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 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 Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.
We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.
Responsibilities
- Own validation and optimization of dataset workflows and tooling to drive scalability, data quality, and process efficiency.
- Lead feasibility assessments and proof-of-concept initiatives to evaluate and implement new tooling, automation, and dataset enhancements.
- Drive root cause and impact analyses through data profiling and analytical assessment to identify systemic risks, design preventive measures, and embed long-term resiliency into data workflows.
- Partner cross-functionally with Product, Data, and Engineering teams to ensure alignment with strategic objectives, measurable ROI, and quality of workflow tooling release.
- Establish and maintain governance frameworks to ensure critical operational and dataset knowledge is structured, discoverable, and embedded into workflows for sustainable knowledge management.
- Develop best practices and process documentation that enable consistency, auditability, and scalability across onboarding and workflow execution.
Requirements
- 4+ years of professional experience in data quality management or data governance.
- Strong coding proficiency in SQL and Python for data analysis and workflow optimization idea generation.
- Familiarity with ETL processes, data pipelines, and workflow design.
- Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
- Strong problem-solving skills and ability to thrive in a fast-paced environment.
- Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer-focused mentality.
- Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills.
- Strong analytical skills, attention to detail, and a solutions-oriented mindset.
- Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
Preferred / Nice to have
- Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
- Experience with company financials data and financial statements.
- Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
- Knowledge of software testing and QA methodologies with experience in both manual and automating testing processes.
- Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
- Experience using Bloomberg Terminal and Company Financials products.
- Exposure to Agile methodologies.
Benefits
- Salary Range: 110000 - 190000 USD annually, plus benefits and bonus.
- The company offers a comprehensive benefits plan that 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 various wellness programs. (The Company does not provide benefits directly to contingent workers/contractors and interns.)
Links: Apply Now: https://bloomberg.avature.net/careers/Login?jobId=18688