Top Remote Analysis Reporting Jobs in Indianapolis, IN

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Designs, develops, and supports scalable GCP data pipelines, ETL/ELT workflows, database integrations, and data warehousing solutions. Uses BigQuery, Spanner, Dataflow, Informatica, and enterprise databases to enable analytics and applications. Responsibilities include performance tuning, monitoring GCP infrastructure, troubleshooting data quality and pipeline issues, scheduling jobs with Control-M, documenting technical procedures, and collaborating with engineers and architects in Agile environments.

Designs and develops data infrastructure, ETL pipelines, prototypes, and enterprise data assets supporting analytics and Data Science. Partners with business users, data scientists, and analytic engineers to deliver solutions from ideation through implementation. Responsibilities include data exploration, testing, validation, monitoring, predictive-modeling support, data visualization, and functional test execution. Provides technical guidance and mentors team members while promoting innovation and process improvement.

Develops acquisition fraud analytics and strategies for home and auto platforms. Responsibilities include building analytic solutions, creating automated reports and performance summaries, conducting impact analyses, analyzing client and population data, and tracking champion/challenger strategy tests. The role partners with cross-functional stakeholders, presents insights to senior leadership, and supports credit and fraud initiatives using SAS, SQL, Unix, Excel, and VBA.

Analyzes Recidiviz interventions using Python and SQL, builds statistical models, measures historical and projected impact, develops automated metrics workflows, and communicates findings to stakeholders. The role defines product usage and impact measures, supports experimental and quasi-experimental analyses, and informs product strategy and fundraising partnerships focused on criminal justice outcomes.

Leads PBM data integration delivery across claims, eligibility, accumulator, and encounter systems. Profiles and validates data, writes advanced SQL, resolves reconciliation discrepancies, investigates production issues, and partners with engineering on scalable healthcare integration architecture. Owns timelines, risks, vendor dependencies, testing, UAT, migration, rollback planning, executive reporting, and post-deployment support. Requires deep PBM claims-processing expertise, data architecture experience, and hands-on knowledge of ETL, secure file transfer, job scheduling, and healthcare data standards.

Designs, develops, tests, troubleshoots, and deploys cloud-based data and analytics solutions using AWS, infrastructure as code, and software development practices. The role involves data integration, automation, application and data model design, system integration, code reviews, testing, troubleshooting, and stakeholder collaboration. It also provides informal leadership through mentoring, design sessions, coding sessions, and communication of complex technical concepts.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.