Top Data & Analytics Jobs

Lead monitoring and investigation of digital-channel fraud (online/mobile account takeover, synthetic identity, card-not-present, remote deposit, digital payments). Analyze alerts, perform complex investigations, tune detection rules and models, coordinate loss-mitigation and escalations, support tool configuration and testing, comply with BSA/AML and other regulations, and produce reports and recommendations to improve detection and reduce losses.

Design, develop, and optimize data warehousing and ETL/ELT solutions on Microsoft SQL Server and cloud platforms. Perform data profiling, cleansing, dimensional modeling (Kimball), and performance tuning. Build semantic models and Power BI/Microsoft Fabric solutions, advise on architecture, mentor teammates, assist in pre-sales/scoping, and promote BI best practices across clients.

Serve as data steward for the advancement database, ensuring accurate gift processing, constituent record maintenance, reporting, queries/exports, mailings, imports/exports, NCOA address updates, event registration data entry, and documentation management while training staff and supporting Advancement events.

The Data Management Lead documents data flows, validates datasets, analyzes data, diagnoses issues, and maintains governance documentation, focusing on data quality and analytics support.

Install, configure, and maintain database management systems. Monitor and tune performance, perform backups and recovery, enforce security, apply patches and upgrades, create documentation, develop maintenance plans, support users, and collaborate with system administrators and developers to improve database reliability and availability.

The Analyst will deploy, maintain, and troubleshoot business applications, manage system setups, define testing procedures, translate technical specs, and provide documentation.

Design, build, and optimize scalable batch and streaming data pipelines. Model and process structured and unstructured data, ensure production reliability and observability, apply ML techniques for insight extraction, and drive data strategy while adopting modern tooling and IaC practices.

Design, build, and operate scalable PostgreSQL databases and cloud-native data infrastructure. Build and maintain ETL/ELT pipelines, optimize query and server performance, ensure high availability and disaster recovery, improve observability, troubleshoot production issues, guide schema and application design, evaluate database technologies, and mentor junior engineers to support reliable, secure data-driven applications.

Create and maintain a library database of research materials (Word/PDF), test and modify databases/DBMS, implement security measures, coordinate with departments, and ensure data accuracy under Research & Development supervision.

The Data Analyst II is responsible for designing, developing, and administering data constructs, ensuring data quality, and working with large data sets while coordinating multiple streams of work.