Top Remote Data & Analytics Jobs in Indianapolis, IN

The Data Architect will optimize Skillable's data ecosystem, design secure solutions, mentor teams, and drive AI adoption for enhanced decision-making.

Provide statistical leadership for oncology Phase I-III trials: develop SAPs/protocols/CSRs, design efficacy and safety analyses, oversee SDTM/ADaM datasets and TLFs, support interim/DMC and adaptive analyses, contribute to regulatory submissions, and mentor junior statisticians.

The Data Migration Specialist will oversee the migration of customer data from legacy systems into Prospyr, ensuring data accuracy and reliability through validation, QA checks, and collaboration with cross-functional teams to support customer onboarding and go-live processes.

Design, build, and operate Spark-based ETL pipelines on AWS. Collaborate with stakeholders to deliver reliable data products, ensure data quality and governance, optimize performance, and maintain operational excellence of the data platform.

Lead and scale the data analytics function, manage a distributed analytics team, deliver actionable insights, and oversee analytics projects.

The Senior Data Analyst will analyze trends, develop segmentation frameworks, create dashboards, manage risk rules, and support audits and projects.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

As a GTM Engineer, you will optimize go-to-market strategies by deploying AI-driven workflows, collaborating with multiple teams to enhance efficiency and effectiveness.

Implement and deliver Microsoft-based data solutions: gather requirements, build ETL pipelines, perform dimensional modeling, develop complex transformations (SQL, Python, DAX), and create Power BI reports while mentoring teammates and supporting client engagements.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.