Top Data & Analytics Jobs

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

As a Staff Solutions Architect, you'll guide customers on architectural decisions, mentor teams, and influence product strategy for data lakehouses.

The role focuses on building tools for volatility research, designing trading strategies, analyzing data, and collaborating with a team to enhance trading strategies in volatility markets.

As an Associate in Analytics, you'll execute analyses using data, build models, develop dashboards, and support strategic client questions while collaborating with teams and enhancing your skills.

The Analytics Lead will analyze rideshare market trends, drive business strategies, and collaborate with cross-functional teams to identify growth opportunities.

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.

Lead analytics for hardware and supply chain metrics across manufacturing, inventory, revenue, COGS, warranty, and activation. Define governed, audit-ready KPIs and data products in Databricks/dbt, ensure end-to-end lineage from ERP and manufacturing to executive dashboards, partner with Ops, Supply Chain, Finance, and Data Engineering, migrate legacy reporting to Databricks, and support external audit cycles.