Top Data & Analytics Jobs in Indianapolis, IN

The Oracle SQL Programming Intern will document IT processes, gather user requirements, and develop applications within an Oracle database environment while writing and maintaining SQL queries.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

The Vice President of Account Services leads analytics strategy, provides data-driven insights to clients, oversees complex analyses, and develops KPI frameworks to improve nonprofit fundraising performance, while mentoring teams and collaborating across functions.

The Data Engineer I will manage data warehouses, extend data pipelines, write SQL and Python scripts, and support data operations.

As a Business Analyst II, you will act as an internal consultant to improve business processes, implement scalable solutions, and ensure data governance and reporting tools are effective for stakeholders.

The Financial Analyst will apply financial analysis and AI-driven insights to support a dental practice management software platform, focusing on subscription revenue, forecasting, and operational performance.

As the Director of Data, you will lead data engineering and analytics, develop strategies for data integration and use AI technology to drive business decisions, while managing a high-performing team.

The Senior Business Operations & Analytics leader will support executive decision-making, define metrics, and improve operational efficiency across Filmhub, partnering closely with the CEO and other leaders to enhance performance and clarity as the company scales.

The Data Intelligence Analyst role involves stakeholder engagement, process analysis, and analytics to support decision-making in a federal healthcare environment. Responsibilities include building dashboards, validating data, and ensuring reporting accuracy while collaborating with technical teams and program managers.

The Data Engineer will build ETL pipelines and data infrastructure, ensure data quality, and implement modern data warehousing for analytics improvements, while collaborating with stakeholders across teams.