Top Data & Analytics Jobs

Provide administrative and data support across Customer Success, Finance, Food Science & Quality, and Operations. Prepare invoices, maintain customer and costing records, compile reports and dashboards, support month-end reconciliation, track quality and production metrics, and facilitate cross-functional communication to support manufacturing and customer service.

Design and develop ETL workflows using Informatica to implement data warehousing solutions, data migration, and data cleansing. Build data warehouse systems with RDBMS and ETL tools, follow SDLC processes, and collaborate across teams. Requires problem solving, decision making, domain expertise, enterprise application understanding, and strong presentation and communication skills.

Design, implement, and optimize Snowflake data storage and ETL solutions. Write and tune SQL, integrate data sources and BI tools, ensure data security and compliance, and collaborate with teams to meet business objectives.

Design, build, operate scalable real-time data processing systems. Own system architecture and technology selection. Support product stakeholders by delivering data-driven products, collaborate with UI/UX for large-data visualizations, and incorporate customer needs.

Administer and maintain Microsoft SQL Server databases, clusters, and data warehouses. Design end-to-end database solutions, perform data modeling, metadata analysis, and ETL using SSIS. Support BI tools (SSRS, SSAS), manage file transfers (FTP), and ensure data warehousing best practices.

Lead design and implementation of master data and MDM/MDG solutions, including data governance models, MDG data modeling/configuration, ABAP OO development (BOL/GENIL, Web Dynpro), ETL and data warehouse loading/validation, testing, and performance/integration support.

Develop and maintain Python-based data applications and pipelines: fetch data from databases/APIs/files, build Pandas DataFrames/NumPy arrays, write complex SQL and data transformations, handle nested JSON, and collaborate with data science teams to deliver production data platforms.

Own regional day-to-day data operations, supervise a Data Coordinator, ensure attendance/enrollment/participant records and partner workflows are accurate and on time, lead data quality, training, and coaching for site teams, support funder reporting and audit readiness, and collaborate with cross-regional peers to maintain consistent data models and standards.

The Data Architect I designs, implements ETL solutions, develops data applications, manages data integration, and supports analytics systems for hospital data.

Lead data management and quality for programs serving people experiencing homelessness. Supervise data coordinators, manage HMIS and other databases, conduct audits, ensure contract compliance and HIPAA adherence, produce reports for funders and leadership, provide training and technical assistance, and translate data into actionable recommendations.