Top Data & Analytics Jobs

Perform metro- and national-level economic analysis and forecasting focused on housing, mortgage, unemployment, and interest rates. Develop and maintain econometric valuation and unemployment models, research model improvements, support economic scenario and capital modeling, evaluate new products/credit structures, and present findings to senior management to inform strategic decisions.

Support Portfolio Managers with alpha research, modeling, and implementation of quantitative trading strategies while building tools for quantitative research.

Develop and lead healthcare analytics and BI solutions for HIS products: design, code, and deliver enterprise-scale applications and dashboards, work with AWS data services and BI tools, support product development and troubleshoot reporting issues for global customers.

Lead the Data & Analytics Engineering teams, overseeing the end-to-end data platform and AI integration, while managing team growth and partnerships with business stakeholders.

Design, build, and deploy Snowflake-based Data Cloud solutions on Azure. Act as Snowflake SME to architect data lakes/warehouses, develop ETL/ELT pipelines (batch and streaming), implement data quality, performance tuning, DBT models, and support deployments while working closely with clients and project management.

The Sr. Data Engineer will build and manage data pipelines for large datasets, collaborate with teams, and leverage cloud technologies for data processing.

The Business Systems Analyst collaborates with stakeholders and technical teams to gather requirements, improve processes, validate solutions, and support ERP systems, specifically Microsoft Dynamics 365 Finance and Operations and Business Central.

Lead Data Engineer responsible for defining architecture, engineering standards, and best practices for the enterprise data platform, collaborating with distributed teams for modernization and scalability.

Assist in collecting, cleansing, and analyzing datasets to produce actionable insights, reports, and dashboards for informed business decisions.

Analyzes business change needs, gathers and validates user requirements, translates business needs into functional specifications, and facilitates stakeholder and design sessions. Creates process maps, use cases, wireframes, data migration rules, business rules, and requirements traceability documentation. Supports business process redesign, data-entry component definition, solution analysis, and multiple moderately complex projects while collaborating with customers, users, technical teams, and other stakeholders.