Top Analysis Reporting Jobs in Indianapolis, IN

Owns the analytics layer between curated enterprise data and business users. Builds governed Gold-layer data products, dimensional models, Power BI semantic models, standardized metrics, and reusable data assets. Implements Unity Catalog governance, metadata, lineage, security, quality monitoring, reconciliation, and deployment controls. Partners with analysts, business owners, IT, data stewards, and AI engineers to deliver trusted, documented data for self-service analytics and AI consumption.

Bachelor-level intern supporting behavioral health operations through client interaction, public speaking, team meeting facilitation, and data work. The intern will receive training in Microsoft Excel, data cleaning and analysis, data visualization, and storytelling through one-page reports and presentations. The role requires strong written and verbal communication, attention to detail, independent work, and the ability to manage multiple priorities.

Designs and manages advanced analytics models and reporting tools for supply chain, inventory, fulfillment center labor, and operational performance. Builds predictive analytics to forecast key metrics, automates reporting, provides data-driven decision support, collaborates with cross-functional teams, and mentors entry-level analysts.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

Develops AI, analytics, SQL, Python, and Tableau solutions for Internal Audit across risk assessment, planning, testing, reporting, and continuous monitoring. Builds data extraction and reconciliation workflows, audit dashboards, repeatable testing scripts, and AI-assisted tooling. Assesses data lineage, controls, and risks across business systems, supports GRC administration, identifies automation opportunities, and trains audit staff on analytics and AI-enabled workflows.

Reviews and analyzes business systems and user needs; gathers and documents requirements, develops system scopes and solutions, improves processes, and facilitates technical business solution delivery. Builds customer and stakeholder partnerships, supports strategic planning, communicates process changes, manages expectations, and ensures projects meet objectives and deadlines.

Designs and builds scalable data platforms and pipelines for scientific, clinical, manufacturing, and process-engineering data. Responsibilities include developing batch and streaming ETL/ELT systems, integrating Databricks, Snowflake, cloud platforms, MES, SCADA, and laboratory systems, and enforcing governance and GxP compliance. The role provides hands-on technical leadership, establishes data engineering standards, and collaborates with scientists, process engineers, and platform teams. It requires three days onsite weekly in Indianapolis and unrestricted U.S. work authorization.

Build and operate reliable data pipelines transforming flight test, simulation, and operational data into versioned, traceable ML training datasets. Responsibilities include ingestion, normalization, time alignment, validation, dataset lineage, anomaly mining, labeling workflows, deployment feedback loops, monitoring, and data coverage analysis. Collaborate with flight test and operations teams on instrumentation and data access. The role is on-site in Boston and requires production data engineering experience supporting machine learning pipelines.

A 12-week rotational internship across software engineering, data engineering, and business intelligence. Interns will contribute to application development, SQL-based data work, data pipelines, Power BI dashboards, testing, documentation, validation, and automation. The role includes a capstone project solving a business problem and presenting results to leadership, while collaborating with engineers, BI developers, analysts, and stakeholders.

Supports data preparation, organization, validation, quality control, analysis, reporting, and data governance activities. Assists with data lake development, process documentation, workflow maintenance, and stakeholder collaboration. Participates in projects and meetings to learn how technology and data support business decisions while maintaining confidentiality and following firm policies.