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Maintain data dictionary and lineage; design logical and physical data models; map attributes to source documents; validate data quality; support data governance and compliance; collaborate with BI and analysts to enable reporting and Tableau dashboards.
Data Analyst:
Key Responsibilities Data Documentation & Data Dictionary
- Develop and maintain a comprehensive data dictionary documenting data elements, definitions, formats, and business rules.
- Ensure consistent metadata standards and naming conventions across datasets.
- Document data lineage and relationships between datasets.
Data Modeling
- Assist in designing and maintaining logical and physical data models.
- Define entity relationships, attributes, and constraints.
- Work with data engineering teams to ensure models align with business requirements and analytics needs.
Attribute-to-Document Mapping
- Map data attributes to source documents, datasets, and system fields.
- Maintain traceability between data sources, business documents, and reporting systems.
- Ensure proper documentation of data transformations and mappings.
Data Quality & Governance
- Validate and monitor data quality and integrity across systems.
- Identify inconsistencies and support remediation efforts.
- Support data governance and compliance initiatives.
Reporting & Analytics Support
- Support analysts and business users by ensuring data clarity and accessibility.
- Collaborate with BI teams to define data requirements for reporting and dashboards.
- Experience with Tableau dashboards.
Compensation, Benefits and Duration
Minimum Compensation: USD 41,000
Maximum Compensation: USD 145,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon New York, New York, USA Office
New York, United States
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
