Top Senior Data & Analytics Jobs

Lead design and governance of the company's sustainability data ecosystem. Build automated SQL/Python data pipelines, curate datasets and Power BI outputs, ensure methodology-aligned GHG and water accounting, support disclosures and third-party assurance, and deliver customized data packages for customers and investors.

Leads enterprise business intelligence development, translating stakeholder goals into scalable dashboards, reports, KPIs, and analytics. Partners with data engineering, mentors developers, leads medium-sized projects, supports QA and production applications, researches system issues, and contributes to BI architecture, roadmap planning, user education, and stakeholder prioritization. The role includes rotational after-hours on-call support and minimal travel.

Build scalable analytics solutions for the Public Sector business, including dashboards, data models, tables, metric definitions, and ad hoc analyses. Own data quality, partner with Operations and Finance on efficiency and cost analysis, and translate complex findings into actionable insights. Drive cross-functional projects from ambiguity to completion while supporting planning, pricing, and business decision-making.

Leads enterprise data stewardship standards by maintaining glossaries, canonical definitions, business rules, RACI accountability, and decision records. Facilitates cross-functional forums to resolve terminology and governance conflicts, partners with Data Governance and business process owners, and ensures standards are reflected in planning systems, analytics, data products, and AI initiatives. Tracks adoption and supports stewardship operating-model maturity within a matrixed biotechnology organization.

Owns the company’s BI platform and data strategy across clinical, operations, finance, and HR functions. Responsibilities include setting the analytics product roadmap, governing data definitions and PHI, managing platform architecture, building dbt models and dashboards, delivering healthcare quality and value-based-care analytics, deploying conversational AI, coordinating vendors and multi-team programs, and developing an analytics team. The role requires hands-on ownership of clinical data, EHR integrations, semantic modeling, governance, and executive reporting.

Build and enhance Databricks-based platform capabilities and reusable data products for quantitative researchers and analysts. Develop and operate pipelines integrating heterogeneous data sources, while improving governance, automation, observability, security, and operational excellence. Define target-state platform architecture, evaluate emerging technologies, and use infrastructure as code, CI/CD, Apache Airflow, and AI-assisted development tools to accelerate prototypes into production.

Owns end-to-end warehouse transformations, curated analytical models, data governance, documentation, lineage, and data quality troubleshooting. Partners with business stakeholders to translate ambiguous questions into reliable models supporting product usage, customer adoption, account health, and go-to-market reporting. The role also improves data access, metric definitions, and self-service capabilities while using SQL, cloud warehouses, transformation frameworks, scripting, and BI tools.

Leads commercial analytics and self-service business intelligence using Power BI, Excel, SQL, CRM, ERP, and governed enterprise data. Develops dashboards, KPIs, forecasting analyses, profitability insights, and performance reporting while translating complex data into executive recommendations. Partners with Sales, Finance, Commercial Operations, IT, and Enterprise Data teams to improve data quality, reporting automation, decision-making, and analytics adoption.

Designs and executes large-scale data migrations and conversions into Fiserv products. Builds custom database solutions and reusable ETL tooling, ensures data integrity, supports integrations, and leads go-live troubleshooting and incident response. Collaborates with clients and product teams on requirements and technical designs, evaluates database technology components, and may assist with hiring and staffing allocation management.

Supports a Department of Defense project assessing service members’ fitness for duty and eligibility for disability separation or retirement. Analyzes systems and business data, identifies data frameworks, supervises personnel, and integrates system-level data requirements and architectures into enterprise architectures compliant with DoD regulations.