Top Data & Analytics Jobs

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.

Support and enhance the Deltek ERP and project financial data: resolve user issues, manage support tickets, validate and correct data using SQL, build dashboards and reports, automate recurring reporting, and partner with accounting, project managers, IT, and vendors to improve processes, documentation, training, and system configurations.

Prepare, clean, and validate data sources; perform descriptive and predictive analyses using statistical and time-series methods; document reproducible workflows; lead project definition and stakeholder meetings; present findings and train others on MicroStrategy and Excel.

The Forward Deployed Data Analyst will optimize SQL queries, troubleshoot analytics pipelines, and collaborate with customers to enhance their data systems. Responsibilities include diagnosing issues, proposing structural improvements, and coordinating with engineering teams.

Design and manage enterprise data architecture and strategy; create conceptual, logical, and physical data models; integrate systems; implement security and governance; plan and execute large-scale data solutions; manage data lifecycle and platform selection; collaborate cross-functionally.

Lead design, delivery, and lifecycle management of scalable global finance data products and standardized reporting. Translate complex finance requirements into reusable data solutions, coordinate cross-functional pods, drive adoption, ensure data governance and performance, mentor junior analysts, and partner with finance stakeholders to deliver insights that improve decision-making and operational efficiency.

Design, build, and maintain end-to-end data infrastructure and ETL pipelines; develop data models and semantic layer; enable self-service analytics and BI; perform advanced analyses (LTV, retention, lab operations, clinical efficacy); champion data governance, documentation, and version control; integrate AI/LLMs to improve analytics workflows.