Top Data & Analytics Jobs in Indianapolis, IN

The BI Engineer will drive marketplace efficiency by leveraging data to optimize performance, analyze marketing effectiveness, and translate complex data into actionable insights for stakeholders.

The Senior Analyst will lead empirical research and analytics, design datasets, present insights to clients, and collaborate across teams in healthcare analytics.

The Data Integration Analyst II leads data file transformations, provides technical guidance, resolves issues, and ensures quality in data integration processes. Responsibilities include technical documentation, client collaboration, and process optimization.

Design, develop, and maintain BI reports and dashboards, migrate legacy SSRS reports to modern platforms, integrate data sources, validate requirements, document processes, and support AI and data lake initiatives.

The Business Analyst configuration of Salesforce.com, ensuring project success through effective communication and risk mitigation, while collaborating with team members and participating in project delivery.

As a Senior Financial Planning Strategist, you will provide innovative financial solutions, conduct research, review complex documents, mentor colleagues, and deliver presentations for high-net-worth clients and advisors.

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 role involves analyzing sales and marketing data, managing reporting, and developing insights to support global revenue operations. Requires strong analytical skills and experience with Salesforce, SQL, and BI tools.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

Assist in transforming large datasets into insights, supporting data governance, and conducting analyses while developing dashboards and statistical methodologies.