Sr Data Analyst - New York

Photon•New York, NY

41d

About The Position

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

Requirements

Experience with Tableau dashboards.

Responsibilities

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.
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.
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.
Validate and monitor data quality and integrity across systems.
Identify inconsistencies and support remediation efforts.
Support data governance and compliance initiatives.
Support analysts and business users by ensuring data clarity and accessibility.
Collaborate with BI teams to define data requirements for reporting and dashboards.