Top Data & Analytics Jobs in Indianapolis, IN

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.

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

Data Engineer II will modernize BlueLabs’ data platform by leading Kimball dimensional modeling and legacy warehouse migrations, building reliable production data pipelines, and enforcing data quality standards. The role requires advanced SQL, Python, and dbt expertise, hands-on Snowflake and Redshift experience, and ownership of testing, documentation, observability, and scalable architecture. The engineer will collaborate cross-functionally, guide Data Engineer I team members, contribute to architectural decisions, and translate business logic into maintainable, cloud-agnostic data layers.

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.

Leads the bank’s enterprise data and analytics strategy, governance framework, reporting standards, data quality program, and analytics prioritization. Establishes trusted metrics, dashboards, semantic models, controls, and examiner-ready documentation. Partners with executives, risk, compliance, audit, information security, and technology teams to support decision-making and regulatory requirements. Leads a team of data professionals and provides matrix leadership to business data owners and stewards.

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