Top Remote Data & Analytics Jobs in Indianapolis, IN

The Central Risk Manager is responsible for developing and implementing strategies for Risk-Based Quality Management and Monitoring across clinical trials, collaborating with stakeholders, and leveraging data analytics for risk identification and mitigation.

The Senior Technical Analyst collaborates with stakeholders and engineers to document requirements, ensure quality, and support SDLC activities, while being a trusted advisor on solution design and process impacts.

The Quantitative Researcher will manage yield opportunities, design algorithms, perform risk analysis, and collaborate with engineers on DeFi strategies.

Manage a team of analysts for PBM analytics, driving insights and scalable data products. Partner with business leaders for effective reporting and analysis.

The role involves analyzing market data to identify trading opportunities, designing strategies, and implementing trading systems for a quantitative finance team.

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

This role involves owning GTM and growth models, forecasting sales revenue, building financial models, partnering with data teams, and providing insights to leadership on growth strategies.

Senior individual contributor who builds centralized analytics (Power BI), delivers insights for underwriting and distribution, standardizes surety marketing content, drives operational efficiency and automation, and leads cross-functional strategic initiatives to improve decision-making and execution.

The Lead Data Engineer will optimize data pipelines, collaborate with teams, and maintain the analytics platform in a changing environment to deliver solutions that meet business needs.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

Analyze IVR caller behavior using SQL and Excel, build Tableau reports to visualize trends, collaborate with stakeholders to improve IVR user flows, and provide data-driven recommendations to enhance caller experience.

Analyze conversational call flows and large datasets to optimize IVR and generative AI systems. Perform call testing, annotation, dashboard monitoring, and deliver data-driven insights and presentations to improve self-service, reduce agent handling, and enhance customer experience.