Senior Data Analyst

Responsibilities: AI-enabled analytics products. Design and build analytics solutions that embed machine learning and large language models, including natural-language query over governed semantic models, automated insight generation, anomaly detection and forecasting on insurance and brokerage data. Analytics engineering on the lakehouse. Build and optimize data models and transformation pipelines in Databricks and Microsoft Fabric using a medallion architecture, with SQL, Python and PySpark. Own data quality tests, lineage and performance tuning. Semantic layer and BI architecture. Design tabular semantic models, DAX measures and row-level security for Power BI and Power BI Embedded, and support migration of legacy Analysis Services models. Model development and evaluation. Apply statistical methods and ML techniques to select, train, validate and monitor models. Design evaluation frameworks for LLM outputs, including accuracy, grounding and bias checks. AI governance and security. Implement controls so AI features respect data classification, access policies and row-level security. Partner with data management and AI strategy teams on responsible-AI standards. Stakeholder partnership. Translate business questions from producers, finance and operations leaders into technical designs, and document solutions for offshore and vendor delivery teams.

Qualifications: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Information Systems, Engineering or a closely related quantitative field, or a Bachelor's degree (or foreign equivalent) in one of those fields plus 5 years of progressive, post-baccalaureate experience in analytics engineering, data engineering, machine learning or BI development. Advanced SQL, including query performance tuning Python for data processing and machine learning Building data pipelines on a cloud lakehouse platform such as Databricks, Microsoft Fabric or Snowflake Dimensional or tabular data modeling for BIDeveloping, evaluating or deploying machine learning or LLM-based solutions Statistical analysis methods Deep exposure to the FinTech with special focus on Insurance DomainStrong team player with ability to lead focus pods successfully Ability to clearly articulate problem statements and design decisions Flexible to pivot on feedback Follow the agile discipline Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfilment outside of work. Generous time off, including personal and volunteering Remote work Tuition reimbursement and professional development opportunities Charitable contribution match programs Stock purchase opportunities The applicable base salary range for this role is $100,000 to $150,000.The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.