Top Senior Data & Analytics Jobs in Indianapolis, IN

The role involves statistical analysis planning, methodology selection, programming in SAS, and collaboration for regulatory submissions and results communication.

Lead the redesign and modernization of a legacy database system for a financial services client. Analyze existing architecture, design scalable data models and schemas, optimize tables and stored procedures, implement governance and security controls, and ensure performance, auditability, and regulatory compliance. Partner with stakeholders in an Agile environment, support iterative development, and mentor team members on database modeling best practices.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Develops complex data-mining analyses, extracts data, and creates reports using data warehouse information. Designs queries, database tables, and data warehouse applications; maintains knowledge of database structures, data definitions, programming languages, and data integrity. Supports business reporting applications, writes standard and custom reports, and trains users on developed applications.

Designs, builds, tests, and documents scalable data solutions and pipelines for CMS healthcare fraud, waste, and abuse initiatives. Responsibilities include data warehouse development, CI/CD deployment, orchestration, data quality, governance, AWS-based automation, testing, architecture support, and technical leadership. The role partners with analysts and business stakeholders, leads project initiatives, improves workflow automation, and ensures requirements and milestones are met.

Designs, builds, tests, and deploys cloud-based data pipelines using Python, PySpark, SQL, and AWS technologies. Develops ETL solutions using Data Vault 2.0 and dimensional modeling, supports lending, risk, and financial data consumers, and improves automation, integration testing, CI, and pipeline reliability. Collaborates with product owners, analysts, architects, and developers while mentoring peers and leading technical design sessions and code reviews.

Leads the strategic direction of performance analytics and measurement for global enablement efforts. Owns the analytics roadmap, defines KPIs, develops AI-driven seller-readiness assessments, and partners with data engineering, sales, enablement, and technology teams. Translates complex analysis into executive-level insights, drives cross-functional alignment, and leads strategic measurement initiatives.

Leads geospatial and GIS projects using the Esri platform to create maps, dashboards, spatial analyses, and field data solutions. Manages spatial data quality, project budgets, timelines, client relationships, proposals, and multidisciplinary deliverables. Advises clients on geospatial technologies and serves as a GIS project lead while supporting environmental assessments, infrastructure, permitting, and resource-planning projects.

Provides analytical support to the Mortgage division by analyzing pipeline, production, performance, and external benchmark data. Develops and distributes leadership reports, maintains staffing models, administers the mortgage CRM platform, monitors usage, supports Salesforce integration, manages mortgage inquiry distribution, and centralizes recurring and ad hoc reporting. Collaborates with Mortgage leadership, Marketing, and other departments to improve CRM usage, reporting, forecasting, and data-driven decision-making.

Leads public financial management data analysis, fund-flow and expenditure reconciliation, fiduciary risk assessment, and verification support in Uganda. Produces dashboards, exception reports, risk flags, and evidence summaries from financial, HRIS, and administrative data. Supervises and trains analysts and verification teams, coordinates with government and project stakeholders, maintains audit trails, and identifies issues requiring targeted field verification.