Top Senior Data & Analytics Jobs in Indianapolis, IN

Build and maintain AWS and Databricks Lakehouse data pipelines for healthcare real-world data and HEOR analytics. Develop data models, ensure governance and quality, optimize cloud performance and costs, and implement monitoring, observability, CI/CD, and orchestration practices. Collaborate with technical and business stakeholders, provide technical guidance, document solutions, deliver training, and report progress to senior leadership.

Support UK (and wider) operational and asset teams by building consistent KPIs, reports and analyses to improve NOI and customer outcomes. Champion AI tools to automate reporting, build AI-powered reporting assistants, and accelerate QA. Provide data gathering, financial and leasing analysis, systems requirements/testing, and support acquisitions, budgeting and operational performance improvements.

The Epicor/ERP Specialist guides the IT team, analyzes business problems, implements MRP systems, and trains users on ERP functionalities.

Build instrumentation and batch/streaming ETL/ELT pipelines and REST API integrations to generate audience and trigger data for CRM/marketing automation. Ensure data quality, monitoring, and reliability at scale while collaborating with CRM, campaign, and operations teams.

Design, build, and maintain scalable data models and BI semantic layers. Partner with analysts and business teams to translate requirements, enforce modeling/testing standards, resolve data quality issues, mentor colleagues, and evaluate new data tooling to support dashboards, self-serve analytics, and AI solutions.

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

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.

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.

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.