Top Remote Analysis Reporting Jobs in Indianapolis, IN

Lead and scale the enterprise data hub: manage the data warehouse, build reliable ingestion and transformation pipelines, implement governance and data modeling best practices, deliver GTM-ready metrics, enable AI/ML use cases, prioritize the data roadmap, and lead/mentor a data engineering team.

Own and evolve the data platform: architect, build, and maintain data models, pipelines, and access layers. Ensure data quality, governance, and reliability; monitor and optimize infrastructure; provide technical leadership, code reviews, and collaborate with cross-functional teams to deliver scalable data solutions for operations and analytics.

Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.

Lead design and implementation of a medallion lakehouse on Microsoft Fabric, build ingestion pipelines, data models and BI dashboards, create AI/LLM tools for business users, enforce data governance, mentor data teams, and partner with stakeholders to enable self-serve analytics across marketing, product, finance, and clinical functions.

Manage and maintain digital measurement and tracking across web and server-side setups. Implement and validate conversion tracking and Conversion APIs, configure GA4, build client-facing dashboards, audit analytics accounts, troubleshoot discrepancies, define custom data layers, support API/CRM integrations, and translate technical findings into actionable campaign insights while ensuring privacy-compliant measurement.

Acquire, manage, analyze data from data warehouse and Salesforce to create reports and visualizations for internal teams and clients. Perform QA, identify trends, outliers, and data quality issues, configure mapping tools, respond to partner requests, and lead client trainings on data specifications.

Provide data-driven insights for mass tort and product liability litigation by building predictive models, financial projections, and dashboards; manage litigation portfolios, collaborate with attorneys and finance, and translate analytics into strategic recommendations to guide case valuation, settlement strategy, and practice profitability.

Lead analytics for Scopely's Live Games Portfolio: build cross-title live reporting, frameworks, dashboards, and studies. Partner with game teams and data platform to translate player and product data into actionable insights that guide decisions and improve game performance and health.

Lead development and delivery of enterprise BI strategy: gather requirements, build dashboards and t‑SQL queries, partner with data engineering, mentor BI staff, and manage BI lifecycle to provide insights across the organization.

Design, build, and maintain scalable ETL/ELT pipelines and data models to populate the data warehouse. Write reusable SQL and Python to transform data, monitor pipeline reliability and quality, enable AI workflows, collaborate with stakeholders, and drive adoption of modern data stack technologies (DBT, Iceberg, Databricks). Support data governance, observability, and security practices.