Top Data & Analytics Jobs

Build and maintain SQL data models, reporting structures, data pipelines, database architectures, and ETL/ELT workflows. Transform and validate enterprise data using Databricks, Snowflake, cloud platforms, Python, and SQL. Partner with stakeholders to translate business needs into scalable analytics solutions, dashboards, and data products. Investigate data quality issues, optimize performance, automate workflows, and apply AI-enabled analytics tools with appropriate security, governance, and human validation.

Designs and develops cloud data architectures, ingestion frameworks, data models, and analytical platforms. Advises clients on cloud migration, data warehousing, technical approaches, and implementation roadmaps. Collaborates with stakeholders through requirements gathering, workshops, whiteboarding, and project meetings while deploying end-to-end cloud analytics solutions. Requires experience with cloud platforms, big data technologies, BI tools, data warehousing methodologies, programming, SQL, version control, and Agile/DevOps practices.

Leads the strategy, governance, architecture, analytics, AI oversight, integration, RPA, testing, Epic Cogito, and Workday platforms. Oversees multidisciplinary teams, enterprise data quality, reporting, system roadmaps, release governance, budgets, vendors, and cross-functional delivery across clinical, operational, financial, HR, and IT stakeholders. The role combines strategic leadership with technical depth to improve decision-making, automation, compliance, and trust in enterprise systems.

Supports Device and Product Engineering teams by collecting, organizing, and tracking wafer lot data across GaN and SiC products. Assists with basic wafer- and part-level yield calculations, database or spreadsheet maintenance, data validation, lot status tracking, and creation of simple charts and trend summaries. This learning-focused internship provides exposure to semiconductor manufacturing data and practical analytics skills.

Participates in a 12-month new-graduate development program while designing, building, deploying, and operating data architectures and pipelines. Develops processes for capturing, transforming, storing, and maintaining structured and unstructured data across distributed and local systems. Applies automation, big-data, artificial intelligence, and machine-learning techniques to support data integrity, compatibility, and evolving business requirements.

Conduct prospect research, capacity and affinity analysis, relationship mapping, and research briefings for university fundraisers and leadership. Coordinate prospect management workflows, portfolio assignments, pipeline tracking, moves management, database updates, dashboards, and recurring reporting. Identify major and principal gift prospects, monitor prospect activity, support events and campaign initiatives, and provide actionable insights for qualification, cultivation, and solicitation strategies.

Design, develop, and manage scalable database systems, data pipelines, structures, and load routines primarily in AWS RDS for PostgreSQL and SQL environments. Support application teams through APIs, database optimization, data processing, and reporting tools such as Power BI. Collaborate with technical and non-technical stakeholders in an Agile setting. The role requires U.S. citizenship and an active TS/SCI with Polygraph clearance.

Owns the enterprise Test Compendium data model and serves as the senior technical and analytical owner. Translates business needs into technical specifications, URS documentation, data models, user stories, and acceptance criteria. Guides platform strategy, roadmap prioritization, technical design, developer execution, integrations, data quality, and release delivery across clinical and operational systems.

Supports municipal transportation and infrastructure projects through GIS data collection, spatial analysis, geoprocessing, database and web map maintenance, field inspections, and map production. Collaborates with engineers, planners, and scientists while developing practical GIS and asset management skills. Fieldwork may involve collecting roadway, sidewalk, and utility data in varying weather conditions, lifting up to 40 pounds, and traveling between office locations.

Develop and execute event pricing strategies to maximize ticket revenue and sell-through across multiple venues. Analyze sales history, demand signals, market comparables, inventory, and secondary-market data. Build dynamic pricing models, SQL data pipelines, Power BI or Tableau dashboards, and KPI reporting. Manage inventory holds and presale allocations, validate data, apply AI-enabled tools, and communicate pricing recommendations to promoters, Finance, and venue leadership.