Top Data & Analytics Jobs in Indianapolis, IN

The Principal MarTech Data Engineer will design data architecture, build data pipelines, ensure data quality, and lead cross-functional technical initiatives to enhance marketing technology and data privacy infrastructure.

Lead and execute data and business operations projects: hands-on BI development, data modeling and querying, build and maintain Smartsheet and executive dashboards, coordinate cross-functional stakeholders, track milestones and risks, support executive planning and RFPs, and deliver data-driven insights to inform strategic decisions.

Design and optimize data models and visualizations for the Dwolla platform. Use SQL and ETL to analyze data, collaborate within project management frameworks, and advise stakeholders with data-driven recommendations to improve processes and services. Remote within the US.

The Star Rating Business Analyst focuses on analytics, reporting, and measurement to improve Medicare Advantage Star Ratings. Responsibilities include analyzing healthcare data, reporting findings to stakeholders, and developing actionable insights to enhance performance and quality.

Design, build, and maintain scalable batch and streaming data pipelines and storage on AWS. Own features end-to-end, collaborate with cross-functional teams, ensure data quality and observability, mentor engineers, and occasionally support field deployments.

Lead data quality efforts by querying databases, reviewing data and dashboards, investigating data inconsistencies, and partnering with engineering, analytics, finance, and compliance to improve data integrity and regulatory adherence.

The Quantitative Researcher will manage yield opportunities, design algorithms, perform risk analysis, and collaborate with engineers on DeFi strategies.

Build and maintain production-grade data pipelines and ELT processes using Python, SQL, Airflow, and dbt within AWS. Design optimized schemas in PostgreSQL and Redshift, leverage AI/LLMs to improve development, automation, testing, and data quality, and scale infrastructure for large healthcare datasets.

Build and maintain people analytics dashboards, automate data pipelines, integrate HR data sources, and deliver actionable workforce insights using Power BI, Snowflake, Python, APIs, and AI/ML techniques to support HR and business leaders.

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.