Top Data & Analytics Jobs in Indianapolis, IN

Lead growth of the Customer Analytics practice for Communications, Media & Technology clients. Define strategies and thought leadership, communicate analytics value, and lead large-scale client engagements. Oversee customer analytics delivery, CRM modeling, reporting, and predictive analytics initiatives.

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

Turn data into actionable insights by building and maintaining reports and dashboards, identifying trends and data quality issues, writing dbt transformations for analytics models, and collaborating with stakeholders and data engineers to ensure reliable data and clear visualizations that support business decisions.

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 end-to-end business analysis for data and technology projects: elicit requirements, create BRDs/functional specs/user stories, map processes, profile source data with SQL, build source-to-target mappings and documentation, support agile delivery and UAT, coordinate stakeholders, and present actionable recommendations to clients.

Design, build, and maintain HR operational data models and production pipelines. Implement automated data validation, monitoring, and security controls to ensure PII-safe, high-performance operational reporting. Partner with governance and engineering teams to align upstream data, integrate HR systems, and operationalize strategy into automated solutions.

Lead Business Intelligence and GTM Data Science to define Zip's data strategy, build a single source of truth and executive/GTM dashboards, enable AI data foundations, partner with Product Data Engineering, hire and scale the analytics team, and deliver automated executive and board reporting.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

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 analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.