Top Remote Analysis Reporting Jobs in Indianapolis, IN

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

Leads medium- to large-scale analytics projects and client relationships while conducting data analysis, managing data infrastructure, building reports and calculators, and preparing client presentations. Provides strategic insights, oversees deadlines and quality, mentors analysts, collaborates with data science and technical teams, and communicates findings to technical and non-technical stakeholders.

Assess legacy on-premises infrastructure and design a cloud-native data architecture for AccuWeather For Business. Create current- and target-state designs, modernization roadmaps, sequencing plans, technical specifications, and risk mitigations. Partner with engineering and data teams to implement scalable, secure, resilient backend data systems while maintaining reliable enterprise data delivery. Contribute hands-on code, data models, schemas, capacity estimates, cost analysis, and architecture decisions.

The Data Analyst collaborates with teams to analyze criminal justice data, provides insights, and supports product launches by presenting analyses to stakeholders.

The Data Acquisition Specialist will lead civic data research projects, manage data acquisition processes, and collaborate with technical teams to enhance data quality.

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.

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

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.

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