Top Senior Data & Analytics Jobs

Owns Workday HR reporting, including custom reports, calculated fields, dashboards, Discovery Boards, and BIRT reports. Builds Power BI and broader data solutions using Databricks and SQL, validates data, troubleshoots reporting issues, and supports HR metrics and decision-making. Partners with HR functional and governance teams, translates business needs into reporting requirements, maintains data lineage and compliance documentation, and uses AI tools to improve report development and data quality.

Build and maintain scalable ETL/ELT pipelines and data workflows using Python, PySpark, and SQL. Improve data quality, reliability, architecture, and governance while supporting analytics, reporting, and machine learning initiatives. Collaborate with data scientists, analysts, and business stakeholders, use Azure DevOps for CI/CD and release management, and mentor junior engineers. The role also involves API integration, cloud data platforms, testing, version control, and contributing to engineering best practices.

Leads business intelligence strategy, operational reporting, dashboard development, analytics, metric governance, secure reporting, and BI modernization. Translates stakeholder needs into reporting products; manages report inventory, rationalization, validation, testing, user acceptance, data quality, production support, and automated decision-support reporting. The role supports acquisition, contracting, financial, and enterprise mission systems while modernizing legacy capabilities using Appian and shared IL5/IL6 codebases.

Leads the design and delivery of scalable analytics solutions using Azure Databricks, Power BI, and related platforms. Transforms and validates structured and unstructured data, applies statistical techniques, develops dashboards and analytical models, and implements data governance and quality processes. Partners with business and technology stakeholders to translate requirements into technical solutions, provides peer guidance, monitors data trends, and communicates actionable insights to technical and non-technical audiences.

Analyze product and business data to generate actionable insights, conduct hypothesis-driven investigations and A/B tests, build business intelligence dashboards and alerts, recommend analytics tools, and track lifetime value and cohorts. The role partners with developers, the Head of Growth, and executive leadership to influence product strategy and live operations.

Leads data analysis and semantic modeling for certified data products, builds and rationalizes Power BI dashboards, partners with Finance and business stakeholders on requirements and UAT, and drives report consolidation. The role requires expertise in Power BI semantic modeling, DAX, gateway administration, advanced SQL, Athena, Redshift Spectrum, dimensional and star-schema analytics, and rebate, sales-to-GMR, and inventory domains.

Design and build scalable data engineering and AI agent governance capabilities across major cloud AI platforms. Develop ingestion, processing, ETL, observability, security, lifecycle management, and identity governance features. Evaluate emerging AI agent frameworks and interoperability standards, troubleshoot customer issues, document architecture and processes, and collaborate with engineering, security, compliance, product, and support teams. The role also involves improving distributed data systems, mentoring engineers, and leading technical initiatives.

Designs and maintains pipelines migrating financial data from legacy Oracle databases to Oracle ERP. Develops SQL and PL/SQL transformations, backend integrations, data mappings, reconciliation, testing, monitoring, troubleshooting, and documentation. Partners with accounting, business, and technical stakeholders to resolve issues and support large-scale financial transformation. The role also involves AI tool adoption, code reviews, solution design, deployment activities, governance, communication, mentoring, and project oversight.

Leads data strategy and analytics for the Risk/Credit team, translating complex datasets into insights for Credit, Operations, Marketing, Product, and Finance. Responsibilities include automating Python/R workflows, building Tableau dashboards, partnering with Data Engineering on Databricks workflows, conducting strategic analyses, monitoring data quality, presenting recommendations to leadership, and documenting analytical methodologies. The role requires strong SQL, cloud data warehouse, visualization, analytics programming, distributed computing, and version-control expertise.

Lead hands-on Workday reporting and HR analytics: design, build, and maintain reports, dashboards, calculated fields, and data models. Partner with HR, HRIS, IT, finance, and vendors to translate requirements, improve data quality, ensure secure access, and scale self-service analytics and governance across global HR systems.