Top Data & Analytics Jobs

Perform moderate-to-high complexity analyses across Treasury functions, build predictive models and dashboards, query and validate data, present findings to stakeholders, support AI/automation adoption, document sources and mentor junior analysts.

Design, develop, and maintain enterprise data pipelines, ETL/ELT workflows, and data management processes in Markit EDM. Integrate market, reference, and transactional data from vendors and APIs, implement data quality checks and reconciliations, support reporting and downstream integrations, troubleshoot production issues, and mentor junior engineers within an agile squad-based team.

Lead analytics to optimize the auto quoting and policy lifecycle experience, focusing on new-business growth and retention. Analyze quote flows, prefill data, risk classification, midterm/renewal logic, and competitive intelligence. Partner with Distribution, Data Science, Risk, Underwriting, Technology and Service teams to design, test, and implement experience improvements and provide actionable recommendations to increase engagement, reduce friction, and improve persistency and lifetime value.

Monitor and evaluate new homeowners pricing programs using data to measure conversion, premium, segmentation, and profitability. Build monitoring frameworks and QC processes, synthesize cross-functional inputs, deliver executive updates, prioritize analytic work, and provide data-driven recommendations to influence pricing strategy and program performance.

Design, build, and maintain scalable ETL pipelines and data models to support pricing and analytics. Perform complex data profiling and analysis, enforce data quality and governance, collaborate with data scientists and stakeholders, mentor junior engineers, and support product launches using Python, SQL, Snowflake, and cloud tooling.

Perform moderate-to-high complexity financial analyses for Treasury functions, build and maintain predictive models, dashboards and ad-hoc queries, present findings to stakeholders, support AI/automation adoption, document data and models, and mentor junior analysts.

Individual contributor focused on building and scaling continuous monitoring and anomaly-detection for Personal Lines Auto pricing. Responsibilities include querying and analyzing large datasets, building dashboards and automation, improving data quality and early issue detection, performing program-level monitoring of pricing launches, and partnering cross-functionally to identify and resolve emerging risks and data issues.