Top Data & Analytics Jobs

Design and build end-to-end analytics pipelines and dimensional data models on Snowflake. Own data ingestion, transformations, testing, monitoring, and ad hoc analytics; partner with stakeholders to turn ambiguous business needs into reliable, consumable datasets.

Lead enterprise data strategy and roadmap, design scalable cloud data architectures using Snowflake, Azure, and Oracle, drive MDM and governance, build trusted data platforms for analytics and AI, partner with business and engineering stakeholders, and set enterprise data standards in a hybrid US role.

Build and maintain data marts, materialized views, and ETL/ELT pipelines in an AWS-hosted data lake. Design and optimize data workflows, monitor infrastructure health and data quality, support PostgreSQL migrations, collaborate with cross-functional teams, and ensure compliance with federal data security (FISMA/NIST 800-53).

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Designs, builds, and maintains scalable batch and streaming data pipelines, data warehouses/lakes, and ETL/ELT processes. Collaborates with BI, Data Science, and Architecture teams to model data, validate sources, ensure data quality, optimize performance, and enable analytics using cloud and big-data technologies (AWS, Snowflake, Databricks, Spark, Kafka).

Lead Data Engineer responsible for architecture, development, and maintenance of data platform. Enforce architecture vision, design and review ETL/data pipelines, ensure data quality/security, manage vendor relationships, support cloud migrations (Databricks/Fabric), lead operations (ITIL processes), and guide teams on technical solutions, testing, and documentation.

Design, build, and maintain scalable ETL/ELT pipelines and data architectures; model and optimize data storage; perform deep-dive analyses to generate business insights; ensure data quality, governance, monitoring, and documentation; collaborate with QA, analysts, product managers, and executives to support data-driven decisions.

Hands-on business and delivery analyst who translates stakeholder needs into data integration solutions. Leads current/future-state and gap analysis, requirements, mapping, migration, testing, and delivery coordination. Partners with Operations, Finance, Compliance, and Purchasing to streamline workflows, promote data-driven decisions, and support adoption of analytics and cloud-based tools to improve operational outcomes.

Provide lead analytical support to RTI senior leadership by integrating financial, operational, and portfolio data, preparing and refining briefings, aligning technologies to Army modernization priorities, and guiding the program-analysis team to inform executive decision-making.

Lead cross-functional analytics and reporting efforts: build and maintain dashboards and automated reports, extract/clean large datasets from ERP/eCommerce/operational systems, define KPI governance, support forecasting and budgeting, improve data pipelines, and deliver actionable insights to inform strategic and operational decisions.