Top Analysis Reporting Jobs in Indianapolis, IN

The Portfolio Analyst analyzes portfolio performance data for Connexus Credit Union, identifying trends to support risk management and strategic decision-making. Responsibilities include developing reports, dashboards, and insights, while collaborating with various departments to optimize collections and ensure compliance.

Lead the architecture of the Workday Adaptive Planning platform, designing models, integrating systems, and ensuring platform governance while collaborating with stakeholders and optimizing performance.

Manage end-to-end analytics for performance guarantees across strategic accounts: execute recovery and accrual analytics, build SQL-based pipelines and Looker dashboards, support RFPs/renewals with scenario modeling, partner with Sales/Customer Success and Data Engineering, and present technical findings to internal leaders and clients to mitigate financial risk and drive actionable insights.

Lead data engineering and platform development for Real-World Data. Oversee a team, define strategy, and ensure reliable data solutions for clinical and business needs.

As the Client Insights Lead Analyst, you will create analytics strategies, lead data analysis, collaborate with teams, and communicate insights to clients effectively.

Own and improve the dbt modeling and semantic layers, implement CI/CD, tests, observability, and governance; build governed metrics for BI and AI consumption; partner with Data Engineering and Risk to stabilize pipelines and improve data quality and documentation.

Lead enterprise data strategy and governance engagements; advise C-suite clients; design governance frameworks (MDM, metadata, data quality, access controls); oversee delivery, mentor leaders, drive business development and thought leadership; align modern data stack to business outcomes.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Own and build reliable analytics data products: define metrics, create and maintain dbt models, design dashboards for growth/finance/ops, improve data quality via testing and monitoring, and enable self-serve analytics for stakeholders.

Design, build, and maintain scalable data pipelines and models; collaborate with analysts and data scientists to provision prepared datasets; implement data quality, governance and monitoring; recommend technologies; lead root-cause analysis, code reviews and testing; mentor teammates and support production data environments.