Data Analyst (Machine Learning and Generative AI)

RESPONSIBILITIES:
Kforce has a client in Westlake, TX that is seeking a Data Analyst (Machine Learning and Generative AI).

REQUIREMENTS:
* Financial services industry knowledge and experience is highly desirable, investment management and/or wealth management domain knowledge a plus
* Strong experience working with data in support of analytics and reporting use cases
* Hands-on experience with relational databases and SQL for analysis, profiling, and data validation
* Understanding of data modeling concepts (e.g., star and snowflake schemas, dimensions and facts) and how they support BI/reporting
* Experience defining or supporting BI/reporting solutions (e.g., Power BI, Tableau, or similar), including KPIs, drill-downs, and filters.
* Experience working with or around ML/LLM solutions (or strong interest and aptitude to learn), including helping to define data requirements, success criteria, and basic monitoring/adoption needs for models and AI-driven reports, in partnership with ML Engineers
* Excellent written and verbal communication skills
* Strong analytical and problem-solving skills with the ability to reason about complex systems and data flows
* Able to understand the technology and software architecture of an application
* Experience with various tools that assist in analysis and testing including SQL Developer, Insomnia, Kafka - Offset Explorer, and Datadog for data validation and debugging, Jira and Confluence
* Willingness to dive in and understand code for analysis and support purposes
* Familiarity with modern AI tools and their application in analysis (e.g., using LLMs to support impact analysis, documentation, testing, or incident diagnostics) is desirable
* Has worked in an Agile environment that uses the Scrum Methodology and is experienced with the related events and artifacts
* Has effectively worked in a global, team-based environment with team members in various locations and countries
* Demonstrated ability to work across business, BI, ML, Data Ops, and Architecture teams to align on standards, data contracts, SLAs, and shared operating mechanisms

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.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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