Top Data & Analytics Jobs

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.

Analyze account and sales representative or distributor data, track incentives, rebates, discounts, and commissions, and prepare reports, presentations, and dashboards. Collaborate with sales, finance, executives, distributors, and other stakeholders to evaluate incentive programs, identify trends, ensure accurate payments and compliance, and recommend improvements.

Administers and optimizes high-availability database environments, including SQL Server configuration, security, backup and recovery, replication, monitoring, migrations, data modeling, ETL, and data warehousing. Creates Power BI reports, supports application teams, resolves production issues, develops database policies and procedures, and provides 24-hour on-call support. Collaborates with stakeholders to translate data needs into reliable technical solutions.

Develop and maintain high-performance cloud-based analytics solutions processing large data volumes. The role requires expertise in data analytics, big data, distributed computing, and technologies such as Spark, MapReduce, SQL/NoSQL, and scientific Python libraries. The engineer will support mission-critical software and systems for a U.S. Government customer, working independently and collaboratively while contributing to a technical, security-focused engineering environment.