Top Data & Analytics Jobs

Design, build, and optimize scalable data pipelines, warehouses, lakes, and processing systems for analytics and business intelligence. Ensure data quality, security, reliability, and cost efficiency while collaborating with data scientists, analysts, and engineers. Maintain technical documentation, support Databricks solutions, and apply emerging data engineering technologies. The role requires strong programming, SQL, ETL, orchestration, data modeling, cloud, and big data expertise.

Develop and guide enterprise data architecture strategy, blueprints, roadmaps, models, governance standards, and integration platforms. Partner with leadership, architects, SMEs, and the PMO to align IT initiatives with enterprise goals, reduce data duplication and risk, and support data-driven decision-making. Provide guidance on data management, database, cloud, analytics, compliance, and architecture best practices. The role requires extensive enterprise architecture and data management experience, occasional travel, and an active Secret security clearance.

Design, build, and own scalable data infrastructure for proteomics research and machine learning. Develop production data platforms, automated workflows, cloud infrastructure, pipelines, lakehouse architectures, and integrations with instruments and LIMS. Establish data integrity, lineage, security, and reproducibility standards while partnering with scientific teams. Set technical direction, operate terabyte-scale systems, review designs and code, and mentor colleagues.

Develops durable data literacy, AI readiness, data quality, and user acceptance testing resources across IYT. Responsibilities include researching staff workflows, creating Salesforce data references and training modules, developing AI prompt libraries, establishing regional data stewardship and quality scorecards, designing testing and bug-reporting processes, documenting SOPs, and transitioning ownership to internal staff. The role requires strong organization, documentation, communication, independent project structuring, and proficiency with cloud collaboration tools.

The role involves administering Salesforce, developing automations with Flows and Apex, and maintaining data pipelines to support revenue operations at ElevenLabs.

Analyze business and operational data to identify trends, explain performance, and provide actionable insights. Build and maintain SQL and Python workflows, datasets, pipelines, and reports; validate data quality; apply statistical methods; translate stakeholder questions into analytical requirements; and automate manual processes to improve reporting efficiency and scalability.

Lead design and implementation of enterprise Master Data Management (MDM) solutions, establish Golden Records, build cloud-native data pipelines and APIs, implement dbt transformations and IaC, enforce data quality, governance, and HIPAA-compliant practices to enable analytics, AI, and operational systems across Member, Provider, Facility, and related domains.

Manages architecture, governance, security, and lifecycle administration for defense modeling and simulation datasets. Builds databases and ETL pipelines for synthetic and live-virtual-constructive environments, maintains VV&A data pedigree, enforces DoD data standards, and supports secure HPC integration. Collaborates with engineers, data scientists, and military stakeholders to deliver reliable data structures and automated pipelines for simulation, testing, and warfighter readiness.

Gather, normalize, and analyze operational, financial, and customer data from multiple sources. Prepare spreadsheets, reports, charts, cost analyses, benchmarks, and presentations; define data standards and limitations; identify trends and anomalies; and provide recommendations to clients and internal stakeholders. The role also supports departmental and cross-functional projects.

Contract Analytics Engineer maintaining Looker and LookML dashboards, reporting, data operations, sales pacing, data QA, vendor workflows, board reporting, forecasting, and planning support during a director’s maternity leave. The role requires strong SQL and Snowflake skills, analytics engineering experience, vendor management, Git/GitHub proficiency, documentation, and independent work in a lean data team.