Senior Data Analyst

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

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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.

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