Top Data & Analytics Jobs

An 18–24 month rotational analyst program across Product, Claims, and Underwriting. Participants analyze qualitative and quantitative data, support projects, perform market research, improve processes, present findings to leaders, and engage in structured training and mentorship to prepare for a long-term role.

Senior technical leader responsible for architecting and building enterprise automation, data pipelines, and analytics solutions using Microsoft Power Platform and Azure. Hands-on coding (Python, SQL), delivering AI-enabled production solutions, governing platform security and ALM, and leading best practices and CoE guidance to accelerate business automation and analytics across the firm.

Lead design, build, and operate scalable Databricks/Delta Lake data pipelines and Kimball dimensional models using dbt. Manage governance with Unity Catalog, optimize performance and cost, operationalize ML with MLflow, and coordinate/quality-check offshore vendor engineering. Mentor engineers, uphold standards, and deliver trusted data products that power analytics, reporting, and MLOps workflows.

Build and maintain Azure-based reporting semantic layers and dashboards, translate report specs into production-ready SQL views and aggregates, validate outputs against ERP source data, coordinate with offshore BI engineers, support UAT and post-launch hypercare, and work within Azure DevOps CI/CD pipelines to deploy reporting artifacts.

Lead and mentor data engineering teams to design, build, and govern enterprise data warehouses, lakes, and lakehouses. Architect scalable ETL/ELT and streaming pipelines, drive cloud migrations, enable BI/AI initiatives, and partner with Finance, Operations, and Supply Chain to deliver analytics and operational reporting.

Build governed gold-layer data models and a single-source metrics layer in Snowflake (dbt); create and optimize dashboards in enterprise BI tools; use AI coding agents and AI-assisted tooling to accelerate development; ensure data quality, governance, and consistency; collaborate with data engineering and stakeholders to deliver trusted analytics for internal and client-facing use.

Undergraduate quant research intern to analyze financial datasets, clean and validate data, build simple models and backtests, write Python analysis and visualizations, and summarize results. Work collaboratively with researchers, traders, and engineers to develop and test systematic trading ideas.

Support and maintain BI applications, troubleshoot issues, analyze user requirements to recommend reporting or application solutions, and design, build, test, and maintain reporting and data solutions.

Design, build, and own the analytics data layer: curated models, marts, and semantic metrics. Migrate SQL Server models to Snowflake, produce well-tested SQL, implement monitoring/validation, ensure data accuracy, document lineage, and partner with Data Engineering and business stakeholders to enable reliable, self-serve analytics.

Lead CHOC Foundation's data intelligence strategy and analytics capabilities to drive fundraising performance. Oversee data governance, BI, reporting, CRM and fundraising systems, predictive modeling, and development operations to enable data-driven fundraising and organizational growth.