Top Remote Analysis Reporting Jobs in Indianapolis, IN

The Analytics Engineer will design data models, maintain analytics pipelines, document data governance, and partner with stakeholders to address data needs.

Build and own customer data ingestion and large-scale pipelines powering AI workers. Design syncing, retrieval, and data lake systems, improve reliability/observability, partner with product/backend teams, and contribute across infrastructure to give AI agents access to enriched customer data.

The Quantitative Researcher will analyze crypto markets, build trading strategies, and develop systems for performance analysis and risk management.

The role involves driving the identification of requirements, improving systems processes, developing prototypes, and ensuring usability in product development projects within an AI company.

Design, build, and maintain scalable data pipelines and infrastructure for large-scale healthcare claims and clinical datasets. Collaborate with cross-functional teams to evaluate data sources, optimize pipelines, ensure data quality, implement monitoring, and introduce modern data engineering practices to improve products and business outcomes.

Partner with leadership and stakeholders to analyze market, product, and operational data; build reports and dashboards; perform root cause and competitive analyses; translate findings into actionable recommendations; drive process improvements, change enablement, and adoption; and support tracking of KPIs and performance.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Design, build, and maintain data pipelines and backend systems to automate reporting and support cross-functional teams. Own project prioritization, collaborate with stakeholders (Accounting, Finance, Supply Chain, Publishing), and iterate to improve cost, reliability, and access to data across the organization.

The Principal Data Scientist Consultant will develop and maintain clinical datasets using R, ensure CDISC compliance, generate reports, and contribute to internal tools while collaborating with clinical teams.

Lead the People Analytics function by developing AI tools, predictive models, and dashboards to enhance HR decision-making and employee experience.