Top Analysis Reporting Jobs in Indianapolis, IN

As a Business Analyst, you'll support the ALSMS and Tableau by managing the SDLC, documenting requirements, providing training, and creating dashboards and reports.

Lead design and implementation of batch and streaming data pipelines, build data models, implement data quality and testing, manage orchestration and IaC, mentor engineers, and communicate technical direction and tradeoffs to stakeholders.

The Data Acquisition Specialist will lead civic data research projects, manage data acquisition processes, and collaborate with technical teams to enhance data quality.

The Business Analyst will elicit and document requirements for web applications, facilitate stakeholder collaboration, support Agile processes, and ensure high-quality UX and testing outcomes.

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.