Top Senior Data & Analytics Jobs

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.

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.

Designs and governs data, semantic, and metrics-layer models supporting analytics, reporting, business intelligence, reverse ETL, and AI-assisted querying. Defines consistent metrics, dimensions, and business logic; builds serving-layer models and semantic views; partners with analysts, engineers, and stakeholders; audits dashboards to resolve metric inconsistencies; and maintains data governance, metadata, and documentation standards.

Designs and develops scalable data platforms and architectures using Azure or AWS. Translates business objectives into technical solutions, supports data warehousing, business intelligence, master and reference data management, and develops data-as-a-service capabilities. Leads client initiatives, establishes architectural governance, creates system diagrams, analyzes business processes, advises on emerging technologies, and mentors junior data professionals. The role involves significant client interaction and 30–50% travel, with remote work from a home office when not traveling.

Leads enterprise data quality strategy and operations across Johnson & Johnson’s One Data Platform. Responsibilities include defining quality standards and controls, profiling and validating commercial pharmaceutical data, monitoring dashboards and metrics, coordinating root-cause analysis, driving remediation, and improving data readiness for analytics and AI. The manager partners with business, engineering, governance, master data, and external provider teams while leading delivery partners and coaching team members.

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.