Top Senior Data & Analytics Jobs

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.

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.

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.

Technical Business Analyst supporting modernization of order management, fulfillment, integrations, and financial systems. The role translates business needs into requirements, process maps, specifications, acceptance criteria, test data, and validation evidence. Responsibilities include SQL-based reconciliation of legacy and replacement outputs, data mapping, report and interface validation, UAT coordination, issue investigation, and cutover readiness. The analyst also applies AI tools critically while validating results against system behavior and business rules.

Design, build, operate, and optimize large-scale data pipelines and foundational data platforms for healthcare datasets. The role focuses on Python, SQL, Spark, Airflow, AWS, storage optimization, schema evolution, data quality, observability, troubleshooting, CI/CD, and production support. The engineer will develop trusted data products, improve platform reliability and efficiency, contribute to architecture and technical direction, collaborate cross-functionally, and mentor teammates while using AI-assisted engineering tools.

Own client reporting data models and pipelines, transforming raw data into reliable, auditable assets for reporting, analysis, and AI initiatives. Build and maintain BigQuery, dbt, and Airflow workflows; establish data contracts, governance, quality, and observability frameworks; develop dashboards and complex SQL analyses; support operational leaders with root-cause insights; and collaborate with clients, data teams, engineering, product, and client success.

Own email marketing analytics across campaigns, audiences, segments, and lifecycle programs. Investigate engagement, fatigue, conversion, and testing results; build dashboards and reports; validate data accuracy; resolve tracking issues; and translate findings into recommendations. Present insights to clients, guide measurement strategies, establish reporting standards, and collaborate with email, technical, and client teams.

Build customer-facing data products for the single-family rental market. Responsibilities include architecting real estate data models, designing reliable data pipelines and workflows, shaping data platform architecture, establishing engineering standards, and developing real estate domain expertise. The role partners with data science and product teams and requires leadership in scalable data engineering.