Top Data & Analytics Jobs

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.

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.

Supports internal and external clients using Virtu’s analytics products, analyzes trade data, develops actionable recommendations, delivers client presentations, contributes to sales and product initiatives, and improves operations through data, technology, and automation.

Analyze telematics, IoT, sensor, and firmware data to evaluate hardware performance, reliability, and field issues. Build dashboards and reports, identify trends and anomalies, apply statistical and machine learning techniques, validate firmware improvements, and provide actionable insights to engineering, product, data science, and customer support teams. Help develop scalable data pipelines and promote data-driven hardware and software development.