Sr Analyst - Data Analytics

Essential Duties and Responsibilities:

- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.

- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.

- Create and maintain all documentation including obtaining and collecting artifacts as needed.

- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.

- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.

- Understanding/familiarity with semantic layers/data architecture.

- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.

- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.

- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.

- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.

- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.

Minimum Requirements

- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.

- Equivalent combination of education and experience considered in lieu of degree.

Additional Requirements as per contract/client:

- 2 years of experience coding (e.g., SQL, Python) required.

- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required

- General knowledge of scripting and programming is required.

- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.

- Experience consistently applying sound professional and ethical judgment ...