Top Data & Analytics Jobs in Indianapolis, IN

Lead advanced analytics and informatics work to develop predictive models, optimize programs, and build financial/operational models. Translate complex data into actionable insights for stakeholders and senior leadership, influence departmental strategy, and independently design analytical approaches to improve consumer/member experiences and drive measurable business outcomes.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Design, build, and operate scalable batch and streaming data pipelines and a lakehouse on AWS. Implement ETL/ELT, CDC, metadata/catalog and governance, automated AWS provisioning (IaC), CI/CD for data pipelines, data quality and lineage, observability, and documentation while collaborating across teams.

Analyze HR processes, develop automation solutions, maintain Power BI dashboards, and support HRIS systems to improve operational efficiency.

The Senior Manager, Commercial Forecasting and Insights leads global forecasting, analytics, and insights to drive revenue performance through strategic partnerships with sales and finance leadership.

Lead data quality and reporting for complaints and servicing systems: cleanse and validate data, build reports and dashboards, perform advanced statistical analyses, automate data extraction, maintain databases, and collaborate with stakeholders to surface actionable insights and process improvements.

The Databricks Architect will design and implement scalable data and analytics platforms, optimize data pipelines, and mentor team members while ensuring alignment with business goals.

The Data Analyst will deliver automated reporting, analyze complex data sets, support client output formats, and enhance data governance processes.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

The Quantitative Analyst II develops complex financial models for product lifecycle management, utilizes programming languages for data analysis, and collaborates with stakeholders to improve financial strategies and compliance.