Top Remote Data & Analytics Jobs in Indianapolis, IN

Lead Databricks pre-sales discovery and design Lakehouse architectures, author proposal technical content, run proofs-of-concept, and act as lead architect on major engagements. Own the Databricks partner relationship and co-sell motion, drive certification and internal enablement, resolve performance and governance challenges, and ensure successful production handoffs while building partner-sourced pipeline and scaling the Databricks practice.

Lead design and delivery of enterprise risk data architecture using Microsoft Fabric. Build medallion data pipelines, unify risk data from ServiceNow, SAP, Workday and others, create Power BI semantic models, establish data governance and observability, and enable analytics and AI-ready datasets for IRM stakeholders.

Six-month internship to collect, clean, and analyze technical service, lab, and customer case data; build structured datasets; create visualizations and Power BI dashboards; support AI-assisted data processing and automation; present findings and collaborate with engineers and scientists to inform product and reliability decisions.

Perform data collection, analysis, interpretation, and presentation to support operational and strategic decisions. Develop dashboards and visualization tools, document methodologies, monitor KPIs, recommend provider network reimbursement rates and processes, research claim/provider issues, present findings, and ensure timely delivery of analyses.

Build and maintain enterprise data platform and ETL/ELT pipelines, design and deploy data models, ensure data quality and governance, integrate third-party sources, and support analytics and AI initiatives across the organization.

Lead development and delivery of operational Receivables reports, dashboards, and analytics. Improve KPI visibility, data integrity, and automation across Collections, Cash Applications, Credit, and Accounts Receivable. Build scalable BI solutions, validate multi-system data, standardize reporting governance, partner with Finance and operational stakeholders, and provide actionable insights to drive performance improvements.

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.

Build governed gold-layer data models and a single-source metrics layer in Snowflake (dbt); create and optimize dashboards in enterprise BI tools; use AI coding agents and AI-assisted tooling to accelerate development; ensure data quality, governance, and consistency; collaborate with data engineering and stakeholders to deliver trusted analytics for internal and client-facing use.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Design, build, and maintain scalable data architectures, ETL/ELT pipelines, and data quality/monitoring to enable ML workflows, analytics, and Power BI reporting while partnering with Product, Engineering, and AI teams.