Top Data & Analytics Jobs

Lead data architecture and data quality initiatives: design and modify technical specifications, implement data warehouses, evaluate systems flow, ensure regulatory compliance, administer system tests, document systems, and coordinate with IT, managers, users, and vendors to support enterprise data governance and strategic planning.

Lead philanthropic analytics and CRM operations for Webster University. Oversee CRM (Jenzabar) optimization, donor database services, reporting, and staff supervision to ensure data integrity, operational responsiveness, and analytics that support fundraising, campaign planning, and institutional collaboration.

Build and maintain scalable pipelines to ingest, clean, and integrate large multimodal datasets. Own ingestion across APIs, files, cloud storage, and warehouses. Design linkage, entity resolution, deduplication, and schema harmonization. Implement data quality checks, validation, and documentation. Collaborate with engineering, research, and deployment teams to prepare integrated data for simulations and evaluate new data sources.

Design, build, and operate cloud-hosted lakehouse ingestion, transformation, and serving pipelines (Databricks/Spark) integrating AVEVA PI, Ignition, Maximo, Workday and external sources. Partner with business stakeholders and consulting partners, ensure pipeline reliability, monitoring, data quality, and contribute to governance and access controls for operational and financial data.

Lead and execute complex opposition research projects, serve as subject-matter expert, mentor junior researchers, produce strategic analysis and publication-quality deliverables, manage client relationships, and improve research methods and automation.

Build and maintain sales forecasts, reporting, and dashboards (Tableau) to support planning. Manage supply/demand forecasting, cost and vessel economics, and waste tracking. Support strategic projects including insource/outsource and CAPEX analysis, ROI modeling, and ERP process improvements to enable faster, data-driven decisions.

Design, build, and optimize cloud-native batch and streaming data pipelines using Python and PySpark; lead SQL Server to PostgreSQL migrations; implement Terraform-managed AWS infrastructure; perform performance and cost optimization; develop data quality and monitoring frameworks; apply software engineering best practices and provide production support via an on-call rotation.

Support NSWC team in Port Hueneme with data analysis, reporting, and operations research. Prepare analyses and reports, apply cost/financial or operations research methods, maintain organization and communication with stakeholders, and use Microsoft Office tools. Requires a bachelors in a business or technical field and three years relevant experience; Navy program experience preferred.

Lead architecture and delivery of scalable AWS data platforms and pipelines using Databricks or Snowflake. Build automated Python/SQL ETL, define data models, set code standards, mentor engineers, and drive data strategy across cross-functional teams.

Design, build, and scale data-driven solutions and high-volume ETL/ELT pipelines for equity research. Develop cloud-based (AWS) data architectures, ensure data modeling, governance, performance tuning, and collaborate with data scientists and business partners in Agile environments.