Top Data & Analytics Jobs

Build and operate production data pipelines that ingest, transform, validate, and deliver messy clinical data for machine learning, analytics, and clinician-facing APIs. Own data contracts, monitoring, backfills, failure recovery, and troubleshooting across systems. Collaborate with integration, ML, and product engineering teams to ensure reliable data delivery across hospital deployments.

Designs, develops, and maintains large-scale data processing systems, including ETL processes, data models, scalable pipelines, databases, data warehouses, and cloud-based big data solutions. Uses Snowflake, Fivetran, dbt, and Airflow while applying DevOps and security practices. Optimizes distributed processing and storage systems, collaborates with data scientists and analysts, and mentors junior engineers.

Conduct research, media and social analysis, audience intelligence, measurement planning, data visualization, and client reporting. Translate complex findings into strategic recommendations, support proposals and business development, and collaborate across agencies and client teams. The role requires strong research methodology, data collection, analytical, presentation, and storytelling skills while managing multiple projects in a fast-paced environment.

Leads market intelligence research, quantitative and qualitative analysis, forecasting, regulatory monitoring, visualization, and executive-level report writing. Evaluates market trends, competition, economic indicators, and policy developments to produce actionable client insights. Establishes research methodologies and quality standards while mentoring Market Analyst Writers, reviewing deliverables, and managing research priorities. Requires onsite work in Houston five days per week and collaboration with distributed technology teams.

Lead Vapi’s data function from scratch by establishing canonical metrics, building a scalable modern data platform, enabling self-serve analytics, governing data quality and access, and supporting AI/LLM observability. Partner with Finance, GTM, Product, Engineering, Security, and Legal while hiring and developing the initial data team. The role owns business reporting, usage-based billing data, revenue analytics, voice telemetry pipelines, and company-wide trust in data.

Develops and supports Oracle database solutions, including complex SQL and PL/SQL objects, performance tuning, security, data governance, quality management, and migration initiatives. Performs ETL/ELT, data validation, reconciliation, conversion, and post-migration verification while maintaining metadata, lineage, documentation, and data dictionaries. Collaborates with data owners, developers, DBAs, business users, and project managers. Requires five or more years of Oracle development experience and an active TS/SCI clearance with polygraph.

Leads the design, development, and maintenance of scalable AWS data platforms, pipelines, ETL/ELT workflows, data models, and orchestration systems. Uses Python, PySpark, SQL, dbt, AWS services, modern lakehouse technologies, and CI/CD practices to deliver secure federal data solutions. Responsibilities include platform modernization, performance optimization, AI-enabled data integration, compliance support, technical mentoring, architecture discussions, and cross-functional Agile collaboration.

Develop and maintain Power BI dashboards, reports, scorecards, and automated business intelligence solutions for project controls. Build data models using Power Query, DAX, and SQL; integrate information from multiple systems; and support earned value management, cost forecasting, change management, and resource planning. The role may also perform quantity surveys, estimating activities, and basis-of-estimate documentation while working independently across multiple projects.

Analyzes large datasets from multiple sources, creates and validates recurring reports, monitors process performance and customer satisfaction, and identifies improvements to data collection. The role requires SQL and Python proficiency, data visualization experience with Power BI or Tableau, familiarity with ETL processes, strong analytical skills, attention to detail, and effective communication. It supports healthcare value-based care initiatives and reports to the Manager of Data Analytics.

Designs, builds, operates, and improves large-scale data pipelines and foundational data products supporting healthcare analytics, customer applications, and AI/ML use cases. Responsibilities include transforming healthcare datasets, improving reliability and performance, implementing data quality and observability, debugging production workflows, contributing to architecture and CI/CD, and collaborating across engineering and product teams. The role also involves mentoring, technical design reviews, and production support.