Top Remote Data & Analytics Jobs in Indianapolis, IN

The Data Analyst collaborates with teams to analyze criminal justice data, provides insights, and supports product launches by presenting analyses to stakeholders.

The Product Analyst will analyze product performance, develop reports, and collaborate with stakeholders to enhance pet insurance offerings through data-driven insights.

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.

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.

The Data Acquisition Specialist will lead civic data research projects, manage data acquisition processes, and collaborate with technical teams to enhance data quality.

Design and optimize data models and visualizations for the Dwolla platform. Use SQL and ETL to analyze data, collaborate within project management frameworks, and advise stakeholders with data-driven recommendations to improve processes and services. Remote within the US.

Lead a remote analytics team to deliver dashboards, data products, and decision-support tools. Oversee project plans, stakeholder engagement, data platform modernization, ETL/automation, Tableau/Power BI deployments, statistical modeling, QA, metadata, and staff mentoring to support federal social service programs.

Design, build, and maintain scalable ETL/ELT pipelines and analytics-ready data models using Python and SQL. Implement GitLab CI/CD, develop dashboards in Tableau/Power BI, perform data cleaning and analysis, support modeling and AI initiatives, document metadata, and mentor junior staff while collaborating with cross-functional teams to deliver actionable insights.

Forecasts call volumes, handle times, and service metrics; develops staff schedules; analyzes workforce and performance data; prepares reports; monitors real-time call and agent activity; performs ad hoc and operational analyses; and communicates recommendations to management regarding staffing, scheduling, service levels, and operational initiatives.

Own Backblaze’s analytics transformation and semantic layers using dbt and Snowflake. Build governed data models, certified metrics, lineage, testing, documentation, and auditable financial-reporting data products. Establish engineering standards and scalable delivery practices while partnering with Data Engineering, Finance, Revenue Operations, Marketing, and Business Intelligence. Translate ambiguous reporting needs into trusted entities, metrics, and source-of-truth models, with emphasis on data quality, stakeholder adoption, and AI-ready foundations.