Top Data & Analytics Jobs

Senior SQL Application Developer responsible for SQL Server and DB2 database administration, ETL/SSIS development, report modernization (Crystal to SSRS), production support, performance tuning, migrations, Linux and Windows server administration, and ensuring data integrity for mission-critical healthcare reporting systems.

Design and build end-to-end data pipelines and integrations on Databricks, implement medallion architectures, develop streaming and NiFi pipelines, integrate purpose-built stores, operationalize ML/MLOps (training, deployment, monitoring), and explore LLM/RAG generative AI solutions while enforcing data governance, security, and performance for large-scale analytics.

Build dashboards and reports tracking enrollment, attendance, engagement, and attrition. Develop predictive models to identify at-risk students, analyze withdrawal causes, monitor early-warning indicators, partner with cross-functional teams to design retention interventions, and present insights to leadership while supporting data pipeline accuracy.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.

Provide strategic prospect intelligence, portfolio management, and fundraising analytics to optimize major, principal, and planned-giving pipelines. Produce executive briefings, campaign forecasting, KPI dashboards, and support AI-assisted prospect identification while partnering on CRM data health and training gift officers in cultivation strategy.

The Data & Analytics Senior Analyst delivers analytical solutions, manages reports, collaborates with partners, and applies advanced analytics while ensuring compliance with bank policies.

Design and implement scalable enterprise data architectures and models, lead data governance and privacy/compliance efforts, guide migration of fundraising CRM, provide technical leadership to data engineering teams, improve data quality and reliability, document architectures, and occasionally perform hands-on data engineering using Python, SQL, dbt, and Dagster.

Serve as the technical owner for customer-facing data workflows and integrations: build pipelines, write SQL and Python scripts, deploy AI-powered workflows, manage APIs and Snowflake ingestion, and translate repeatable solutions into product requirements while supporting customer success and internal engineering.

The Business Systems Analyst II focuses on SAP FCM solutions, managing projects, ensuring system performance, and enhancing process efficiency while liaising with stakeholders and HQ.

The Data Engineer will clean, manage, and analyze datasets, automate ETL processes, and collaborate with traders and software engineers to derive insights.