Top Data & Analytics Jobs in Indianapolis, IN

Own end-to-end marketing performance measurement, design scalable analytics frameworks, and build dashboards and automated reporting. Lead advanced measurement (attribution, MMM, incrementality, experimentation), partner with data teams to improve infrastructure, and translate complex analyses into actionable insights to optimize ROI and pipeline contribution.

Design, build, and operate cloud-native data platforms and scalable pipelines using Snowflake and dbt. Lead orchestration, CI/CD, observability, and performance tuning. Collaborate on backend services and limited frontend work, mentor engineers, define modeling standards, and participate in multi-team architecture and system design.

Own Lead→Win funnel reporting, attribution, and experiment measurement for Performance Marketing. Design and analyze A/B/multivariate tests, ensure tracking across Salesforce/Pardot/Gong/Clay, govern lifecycle definitions, and produce executive-ready performance narratives to guide Marketing, Sales, and RevOps investment decisions.

Technical leader building scalable data pipelines, analytics infrastructure, and APIs. Own architecture, optimize large-scale query performance, mentor engineers, and partner with product and integration teams to deliver real-time and historical analytics.

Lead operational, strategic, and analytical initiatives to improve alerts, data coverage, and AI model ROI. Conduct R&D and data analysis, build algorithmic data streams, collaborate with cross-functional teams, and present strategic insights to inform decision-making.

The Senior Marketing Data Analyst will analyze marketing data to understand trends, provide strategic insights, maintain data integrity, lead AI-driven analytics, and partner with marketing teams for improved performance.

As a Lead Game Designer, you'll shape systems and features for the game, guide the design team, and align designs with game pillars to enhance player experience.

Evaluate and assess creditworthiness of loan applicants, make risk-based lending decisions, and collaborate on underwriting processes while communicating effectively with clients.

The Data Engineer will design, build, and maintain analytics-ready Data Marts, create resilient data pipelines, and ensure data integrity, working closely with analytics teams to deliver reliable datasets.

The Senior Analyst I will quantify and communicate health value, develop data models and reporting packages, and collaborate with teams to scale insights.