Top Data & Analytics Jobs

Own and operate the Snowflake warehouse and Sigma semantic layer; manage ingestion (Fivetran), dbt model scoping and review, reverse-ETL, data quality SLAs, dashboards, month-end financial analytics, vendor management, and automation to support AdOps, Sales, Finance, and executive reporting.

Designs, develops, tests, deploys, and monitors scalable data pipelines using Azure Data Factory, Databricks, Python, SQL, and dbt. Integrates source systems with data warehouses and other platforms, automates data processes, improves infrastructure scalability, and supports data migrations during mergers and acquisitions. Ensures data security, privacy, retention, and effective enterprise data management.

Design, develop, test, and maintain client-facing software across web, backend, mobile, APIs, and automation. Translate business requirements into technical solutions, write clean code, participate in code reviews, troubleshoot and optimize applications, and recommend architectural improvements. Collaborate with clients and stakeholders, manage project priorities, mentor junior developers, and stay current with modern technologies.

Design, build, and administer CMAP’s enterprise GIS platform, data pipelines, APIs, and analytical frameworks; set standards, deliver training, create self-service spatial tools, and collaborate with stakeholders to integrate spatial analysis into planning workflows.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.

Build and maintain scalable trading observability platforms, real-time data pipelines, and quantitative strategies for equities trading operations. Responsibilities include ingesting and processing market and alternative data, improving monitoring and analytical tools, and incorporating AI into workflow automation and content generation. The role partners with traders, strategists, and technology teams in a fast-paced trading environment.

Lead migration of financial data pipelines from Snowflake to AWS, design SOX-compliant dimensional models, build Medallion Architecture datasets, implement data quality, observability, CI/CD, and performance optimizations, and partner with stakeholders to deliver production-ready financial analytics at scale.

Graduate intern supporting NRDC’s Science Office by developing a user-friendly knowledge management system for scientist-vetted environmental information. Responsibilities include synthesizing scientific literature, organizing internal scientific knowledge, creating AI search integrations, developing AI SOPs and prompts, and recommending ways to incorporate AI into organizational workflows. The role requires strong science and information systems or knowledge management credentials, collaboration, attention to detail, and onsite work in Washington, DC three days per week.

Build governed dimensional data models across dbt and Databricks medallion layers; integrate loan, CRM, servicing, and vendor data; create executive dashboards in Sigma and Power BI; define governed KPIs; monitor data quality; lead warehouse and reporting migrations; support cross-functional stakeholders; and mentor analysts on SQL, modeling, and BI practices.

Supports healthcare survey data operations through data collection, validation, quality review, file preparation, issue resolution, and documentation. Reviews data for completeness, consistency, outliers, and accuracy; communicates with respondents to clarify information; supports reports, statistical tables, custom analyses, and cross-functional data needs. Requires strong Excel skills, attention to detail, communication, and the ability to work with survey data and databases. The role is hybrid with on-site work in Englewood, Colorado and regular conference travel.