Top Data & Analytics Jobs in Indianapolis, IN

Designs and maintains enterprise data platforms, ETL pipelines, Snowflake data models, AWS data lakes, PostgreSQL solutions, and governed analytics datasets. The role supports reporting, dashboards, self-service BI, AI and machine learning initiatives, data quality, governance, and performance optimization. Responsibilities include integrating enterprise and third-party data, developing reusable metrics and datasets, documenting lineage and transformations, and partnering with business, data science, and AI teams.

Supports the global PR&D Local Data Analyst team by processing, verifying, maintaining, and updating SAP master data for pharmaceutical materials. Assists with material specification packages, mass updates, and change or deviation management activities using tools such as Quality Docs, Trackwise, and DSP. The role requires accurate task execution, deadline management, issue communication, and adherence to data governance procedures in a regulated pharmaceutical environment.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.

Lead migration of financial data pipelines from Snowflake to AWS, design SOX-compliant dimensional models, build Medallion Architecture datasets, implement data quality, observability, CI/CD, and performance optimizations, and partner with stakeholders to deliver production-ready financial analytics at scale.

Supports R&D, packaging, processing, commercialization, and design reporting. Gathers and analyzes data to identify trends, develops dashboards and reporting solutions, trains end users, and provides business insights and process recommendations. Serves as a liaison between IT and the R&D team while improving reporting and decision-making effectiveness.

Leads Allegion’s Data & Analytics team, overseeing data warehouse and lakehouse architecture, Power BI semantic models, self-service BI, and data management services. Manages Analytics and Data Engineers while providing hands-on technical direction. Responsibilities include roadmap development, master data management, data lifecycle and archival solutions, stakeholder collaboration, code governance, process improvement, and team development.

Build and operate a large-scale enterprise data platform spanning batch and streaming processing, lakehouse storage, Kafka infrastructure, APIs, observability, and agentic MCP interfaces. Develop reusable ingestion and data-quality frameworks, improve scalability and resilience, establish engineering practices, support production operations, and mentor engineers. The role requires deep ownership of distributed data infrastructure and practical use of AI coding agents.

Build and transform commercial data solutions using SQL and Databricks, create executive dashboards in Tableau and Power BI, and translate ambiguous business questions into actionable insights. Partner with commercial stakeholders on sales, retail-out, and distribution analytics; identify business trends, standardize reporting, and support enterprise self-service analytics and data maturity initiatives.

Analyze Medicare and Medicaid datasets, design analytical approaches, review R and SAS programming, build healthcare financial models, and translate complex findings into visualizations, presentations, publications, and policy recommendations. The role manages multiple consulting projects, collaborates across teams, presents results to clients, and supports healthcare policy and business decisions.

Supports electronics hardware process improvement through data analysis, engineering tool development, process compliance, dashboards, KPIs, and reporting. The intern analyzes engineering processes and project data, develops visualizations, assists with tool configuration and testing, documents processes, creates training materials, and collaborates with engineering, process, and IT teams to improve efficiency and reporting.