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# Senior Data Analyst

- **Company:** Kforce Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $135,200 - $166,400
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Architecture, Information Engineering, Data Files, Data Infrastructure, Standard Sql, SQL Databases, Enterprise Data Management, Data Management
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-analyst-new-york-ny--2784f785-aaf8-40b2-aca0-2ec97453b590

## About the Role

Data Analysis, Data Analysis, Data Management, Asset Management, Identify Issues, Data Sets, SQL (Structured Query Language), Query Analysis, Financial Analysis, Communication Skills, * 7+ years of experience in data analysis, business analysis, data product management, or enterprise data platforms

 * 5+ years of experience in in Asset Management, Private Wealth, Capital Markets, or Financial Services industries
 * Strong, recent hands-on SQL experience required
 * Proven experience analyzing and troubleshooting complex datasets
 * Experience translating business needs into technical requirements, user stories, and acceptance criteria
 * Financial services experience, preferably within asset management or wealth management
 * Strong understanding of data sourcing, transformation, storage, and consumption
 * Strong stakeholder management and communication skills
 * Ability to independently write SQL using joins, aggregations, and window functions
 * Visa sponsorship is not available for this position

## Description

Kforce has a client in the Asset Management space, based in Midtown Manhattan, NY that is seeking a Senior Data Analyst to join an Enterprise Data Management team supporting a firm-wide data platform. This is a contract-to-hire opportunity with a mandatory hybrid schedule of 3 days per week onsite in Midtown NYC. The client would like this candidate to convert to an FTE after a 6-month initial contract term. Key Responsibilities: Data Analysis & Troubleshooting:

 * Independently query, analyze, validate, and troubleshoot complex datasets using SQL
 * Write SQL queries utilizing joins, aggregations, window functions, and complex filtering
 * Understand data architecture, ingestion, transformation, storage, and downstream distribution
 * Conduct ad-hoc analysis and translate findings into actionable business insights
 * Investigate complex data issues and clearly communicate findings to technical and non-technical audiences

Product Ownership & Requirements:

 * Gather and translate business needs into clear technical requirements
 * Own and maintain the product backlog, including epics, user stories, and acceptance criteria
 * Partner with developers, QA, data engineering, and production support throughout the delivery lifecycle
 * Manage platform enhancements from requirements and prioritization through testing, release, and adoption
 * Use data and stakeholder feedback to help influence platform priorities and roadmap decisions

Stakeholder Engagement & Platform Adoption:

 * Partner with business stakeholders to understand data needs, priorities, and challenges
 * Serve as a bridge between business and technology teams
 * Navigate competing priorities and drive alignment across multiple teams
 * Champion a "data as a product" approach focused on trusted, governed, discoverable, and reusable enterprise data