Top Analysis Reporting Jobs in Indianapolis, IN

Provide dedicated analytics support to Cloud Success teams by delivering SQL-driven analysis, forecasting, and executive-ready visualizations (Tableau/Power BI). Translate data into actionable recommendations, present findings to senior leaders, manage stakeholders, own projects end-to-end, mentor junior analysts, and respond flexibly to high-visibility requests.

Perform deep-dive analytics with stakeholders to identify cost-of-care opportunities, develop enterprise-level metrics and reporting, extract and manipulate data using SQL, and build impactful Tableau visualizations. Optimize dashboards, provide strategic direction, mentor metrics associates, and translate findings into process improvements and actionable recommendations.

Provides technical leadership for enterprise lakehouse architecture and data foundation initiatives. Designs and develops scalable batch, streaming, and event-driven pipelines using Databricks, AWS, Spark, Python, SQL, and Delta Lake. Establishes engineering standards for modeling, testing, CI/CD, quality, observability, governance, and support. Translates business needs into architecture decisions and delivery plans, coordinates contractors and vendors, mentors engineers, and partners with product, supply chain, governance, and AI/ML teams.

Integrate operational data into enterprise data warehouses; design, optimize, and support SSIS ETL pipelines; develop SSRS and Power BI reporting solutions and reusable data models; deliver data migrations and self-service extracts. Design production AI/ML solutions using Python, OCR, AWS Bedrock, and Claude, including multi-agent LLM implementations. Partner with stakeholders, lead code reviews, mentor developers, and support production BI deployments.

Own the enterprise product data architecture for Allegion’s Global Software Solutions business. Define unified data models, schemas, pipelines, APIs, catalogs, governance standards, and device telemetry architecture across multiple business units. Lead data onboarding, platform convergence, architecture audits, compliance, and engineering enablement. Partner with enterprise data, AI, identity, and product engineering teams to make governed product data usable for analytics and agentic AI.

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.

Leads data engineering for a functional area by defining future-state architecture, establishing technical standards, mentoring team members, developing code and procedures, fixing bugs, maintaining quality, gathering requirements, and supporting application functionality. The role serves as a subject matter expert, partners with architecture and application engineering leaders, and drives technology adoption and professional development.

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.

Design, build, and maintain cloud data pipelines and governance on Databricks or Snowflake. Optimize Databricks clusters, implement Delta Lake, automate CI/CD with Azure DevOps, integrate with Azure services, and create monitoring and governance solutions.