Top Data & Analytics Jobs in Indianapolis, IN

Build and optimize scalable Databricks data pipelines across a medallion architecture. Develop data models, implement data quality checks and validation, integrate Azure services, and ensure data accuracy, governance, lineage, security, and performance. The role requires designing config-driven pipelines supporting CDC and event-based processing, maintaining CI/CD deployments, and working with structured and unstructured data across SQL and NoSQL systems.

Seeking an ETL Informatica Developer with 7 years of experience in data warehousing, strong Informatica skills, and cloud iPaaS experience preferred.

The role involves analyzing market data to identify trading opportunities, designing strategies, and implementing trading systems for a quantitative finance team.

The Sr. Business Objects Analyst will lead BI solutions, define requirements, analyze data, support BI applications, and coordinate with teams.

Lead design and implementation of batch and streaming data pipelines, build data models, implement data quality and testing, manage orchestration and IaC, mentor engineers, and communicate technical direction and tradeoffs to stakeholders.

Supports Consumer Finance reporting and project activities by eliciting and documenting requirements, collaborating with business and development teams, triaging testing defects, and contributing to project status meetings. The internship requires analytical reasoning, communication, facilitation, organization, and time-management skills. It runs full-time for 10–12 weeks during summer 2027 and includes networking, professional development, presentations, volunteering, and an in-person corporate-office event.

Design and implement end-to-end AI features, scalable data pipelines, ETL/ELT workflows, Generative AI and agentic systems, ML and BI solutions, and MLOps/LLMOps practices across AWS, Azure, and GCP. Apply RAG, embeddings, vector databases, security governance, evaluation, reliability, and guardrails. Own technical workstreams, mentor junior engineers, and promote software engineering best practices in consulting environments.

Leads the enterprise data and analytics platform organization, defining strategy, architecture, roadmaps, governance, engineering standards, and operating models. Oversees scalable cloud data capabilities supporting analytics, AI, and machine learning while partnering with senior stakeholders and managing vendors. Builds globally distributed technical teams, drives platform adoption and self-service capabilities, and delivers measurable business outcomes through secure, governed, and reliable data platforms.

Develop and deploy business intelligence solutions, dashboards, data structures, and visualizations using Tableau and Power BI. Partner with sales, finance, IT, and business stakeholders to turn complex data into actionable insights, enable self-service analytics, consolidate data, and establish analytics standards. Present findings to senior leadership, support forecasting and planning processes, train business teams, and provide ongoing analytics support.

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.