Top Remote Analysis Reporting Jobs in Indianapolis, IN

Design, build, and maintain scalable batch and streaming data pipelines and storage on AWS. Own features end-to-end, collaborate with cross-functional teams, ensure data quality and observability, mentor engineers, and occasionally support field deployments.

Lead data quality efforts by querying databases, reviewing data and dashboards, investigating data inconsistencies, and partnering with engineering, analytics, finance, and compliance to improve data integrity and regulatory adherence.

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

Build and maintain production-grade data pipelines and ELT processes using Python, SQL, Airflow, and dbt within AWS. Design optimized schemas in PostgreSQL and Redshift, leverage AI/LLMs to improve development, automation, testing, and data quality, and scale infrastructure for large healthcare datasets.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Design and automate scalable ETL/ELT pipelines across relational, event, and unstructured sources; implement data governance, metadata and quality frameworks; architect cloud and distributed storage solutions; optimize physical data models and performance; integrate heterogeneous systems (Snowflake, Fabric, SAP, graph DBs); test, monitor, and modernize data infrastructure to support analytics.

Analyze HR processes, develop automation solutions, maintain Power BI dashboards, and support HRIS systems to improve operational efficiency.

Lead data quality and reporting for complaints and servicing systems: cleanse and validate data, build reports and dashboards, perform advanced statistical analyses, automate data extraction, maintain databases, and collaborate with stakeholders to surface actionable insights and process improvements.

The Data Analyst will deliver automated reporting, analyze complex data sets, support client output formats, and enhance data governance processes.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.