Top Data & Analytics Jobs in Indianapolis, IN

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

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.

Oversees quality assurance policies and procedures, ensuring regulatory compliance, product reliability, and safety. Develops quality systems, conducts inspections, and mentors staff as needed.

The Quantitative Analyst II develops complex financial models for product lifecycle management, utilizes programming languages for data analysis, and collaborates with stakeholders to improve financial strategies and compliance.

The Databricks Architect will design and implement scalable data and analytics platforms, optimize data pipelines, and mentor team members while ensuring alignment with business goals.

As a Strategic Finance Analyst, you will analyze financial data of parking properties, collaborate with real estate executives, and leverage data to drive business strategies and models for revenue growth.

The Claims Analytics Manager leads a team in analyzing healthcare claims, setting methodologies, and aligning with client goals to drive financial outcomes.

The Analytics Engineer will design and maintain analytical data models, ensure data pipeline reliability, and collaborate with stakeholders to meet data needs. Responsibilities include data documentation, investigation of discrepancies, and contribution to AI data initiatives.

The Data Architect will design and implement scalable data architectures for federal clients, focusing on advanced analytics, AI/ML, and compliance. Responsibilities include collaborating with various teams, defining data models, and ensuring data quality and governance.

The Director of Enterprise Data develops and executes data strategy, leads data governance, and enhances analytics capabilities while collaborating with various stakeholders to ensure data integrity and accessibility.