Top Senior Data & Analytics Jobs

Lead data engineering for client reporting, measurement, internal operations, and AI-driven initiatives. Build and maintain Snowflake pipelines and dbt models, integrate marketing and business data, troubleshoot issues, and maintain governance, privacy, and consent controls. Develop semantic layers and governed access for AI tools. Shape architecture and technical roadmaps, translate business needs into data solutions, and build and lead a data support team.

Architects and implements end-to-end Microsoft Fabric and Azure data solutions for insurance datasets. Designs data models, ingestion pipelines, Lakehouse architectures, governance controls, security models, and scalable analytics platforms. Collaborates with governance, cloud engineering, security, business, and analytics teams to ensure compliance, performance, reliability, and cost efficiency. Provides architectural direction, leads design reviews, evaluates Fabric capabilities, and guides data engineers, analysts, and BI developers.

Own and modernize CHG’s end-to-end data platform across Snowflake, dbt, Fivetran, and Terraform. Lead business-oriented data modeling, quality and observability, governed metrics, semantic layers, BI, and conversational analytics. Partner with business and product engineering teams on data contracts and trusted definitions. Manage, hire, and mentor analytics engineers while remaining hands-on with development, code reviews, debugging, and platform architecture.

Develops end-to-end business intelligence solutions using Power BI, SQL, data modeling, ETL, and data pipelines. Builds dashboards, reports, scorecards, semantic models, and automated analytics workflows; analyzes business data to improve decision-making and processes. Communicates insights to technical and non-technical stakeholders, trains users, supports data quality, and may lead moderately complex functional projects.

Leads business intelligence and analytics for Verizon’s Business Markets Group. Designs measurement programs, develops advanced geospatial and financial models, evaluates sales and operational approaches, standardizes metrics, and converts complex data into strategic insights. Partners with business, technology, marketing sciences, and operational analytics teams while leading cross-functional data initiatives.

Owns analytics for BILL’s payments products, setting the measurement agenda, defining KPIs and OKRs, building production-grade dbt models, and conducting experimentation and causal inference. Partners with Product, Engineering, Finance, Marketing, and leadership to identify opportunities, improve data quality, automate reporting, and influence roadmap decisions. Presents executive insights and defends metric definitions and recommendations.

Translate ambiguous business questions into analytical plans, analyze complex datasets with SQL and Python or R, apply statistical methods, build Power BI semantic models and dashboards, define trusted metrics, design impact evaluations, and develop reusable analytical tools. Partner with economists, data scientists, engineers, and business teams to deliver actionable insights and measurable business decisions.

Build and sustain AI-enabled command-and-control and information-management solutions. Develop data pipelines, scripts, APIs, automated workflows, dashboards, and decision-support products using Python, SQL, Power BI, SharePoint, Microsoft 365, and approved AI tools. Integrate and validate operational data, translate mission requirements into technical specifications, evaluate system changes, support migrations and information architecture, document risks and dependencies, and brief technical recommendations to senior leaders. The role is on-site at Camp Smith, Hawaii and requires the ability to obtain a TS/SCI clearance.

Analyzes pharmacy and healthcare data involving utilization, costs, trends, enrollment, incentives, revenue, providers, members, and networks. Develops complex SQL reports, dashboards, data models, validation routines, and reporting systems. Ensures data integrity, automates reporting and validation, communicates insights and recommendations, trains analysts, and supports high-impact pharmacy management decisions. Senior-level incumbents may serve as technical experts, mentors, and project leads.

Leads day-to-day platform data operations, including partner file ingestion, PAL data integration, fund mapping, secure transfers, validation, quality metrics, issue resolution, and audit controls. Manages and develops the data operations team while driving automation, workflow improvement, documentation, and migration from legacy architecture. Partners with Product and Engineering, recordkeepers, advisors, and clients to improve data accuracy, scalability, security, and service delivery.