Top Data & Analytics Jobs

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

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.

The Senior BI Analyst will gather requirements, develop scalable reporting solutions, and create dashboards using Power BI, ensuring data-driven decisions across the organization.

Analyze and monitor digital advertising campaigns, build and maintain client reports from analytics and ad platforms, surface actionable insights, collaborate cross-functionally, and prepare polished client-ready deliverables.

Support DHS geospatial mission by ingesting, processing, validating, and maintaining GIS datasets; produce web maps, hosted layers, dashboards, and metadata; perform QA/QC, spatial analysis, and geoprocessing; document data lineage; support testing, Agile workflows, and configuration using ESRI tools and government-approved repositories.

Lead architecture, operation, and continuous improvement of cloud-native, enterprise-scale data platforms (Snowflake, cloud storage, streaming). Translate requirements into roadmaps, design and optimize data warehouses and lakes, automate operations with Python and IaC, mentor engineers, and deliver managed services across multiple client accounts while driving reliability, security, and performance.

Summer internship focused on quantitative research and trading: analyze market data, develop models and tools, run simulations, apply programming (Python), and learn from traders, researchers, and engineers to support trading decision-making.

Lead people analytics by building dashboards, reporting tools, and workforce models; analyze complex HR data to deliver insights to leadership; partner with stakeholders to set roadmap; improve data quality, governance, and adopt AI/ML for workforce analytics.

Design, build, and maintain scalable, reliable data systems and pipelines. Partner with Product, Sales Ops, and Finance to deliver analytics and self-service tooling. Maintain SLOs, improve pipeline reliability, implement testing and documentation, and contribute to data platform strategy and operations.

Analyze and engineer data for Air Force Special Operations Command, identifying data sources, improving collection and reporting, gathering requirements, resolving technical issues, and building self-service data tools. The role develops algorithms using multiple programming languages, advances data quality management through metadata and lineage practices, and supports digital transformation, mission readiness, and data-driven decision-making.