Top Data & Analytics Jobs

Build and maintain Power BI dashboards, semantic models, reports, data transformations, and SQL-based analytics solutions. Gather requirements, conduct data discovery, support pipelines and governance, validate data quality, and coordinate system and user acceptance testing. Translate business needs into technical specifications and actionable insights while documenting solutions, training users, and supporting project delivery across the Azure data ecosystem.

Reviews and resolves data synchronization issues between Conservice bill payment systems and ENERGY STAR Portfolio Manager. Compares utility bills with required portfolio data, corrects and enters information, validates aggregate utility data, and performs ongoing data quality control. Coordinates with internal teams, investigates root causes, manages repetitive data processes, and ensures corrected information is successfully transferred to ENERGY STAR.

Leads enterprise information systems, Power BI reporting architecture, data governance, analytics, ERP initiatives, and AI tool adoption. Builds and validates dashboards, ensures data quality, manages system operations, and supports business decision-making. Partners with IT and business stakeholders, provides proactive communication, leads and develops IS staff, manages vendors and budgets, and drives enterprise application delivery and improvement.

Own marketing channel performance tracking, reporting, experimentation, dashboards, forecasting, and LTV analysis. Develop measurement frameworks, identify data issues, and translate complex findings into actionable recommendations for Marketing, Growth, Product, and Finance stakeholders. The role requires strong SQL, BI dashboarding, marketing measurement, experimentation knowledge, and effective analytical communication, with AI tools used to accelerate reporting and analysis.

Develop and manage Workday PSA and Financials data solutions, including conversions, transformations, integrations, reporting, APIs, EIBs, and ETL processes. Create technical documentation, perform data analysis and loading, support migrations and M&A initiatives, and ensure security, compliance, access controls, and data quality. Partner with business analysts, functional leads, engineers, and security teams while managing multiple projects and serving as a Workday data subject matter expert.

Build and maintain a production data platform integrating RMS, Azure SQL, HubSpot, and vendor APIs. Develop pipelines, data models, quality gates, APIs, system-of-record write-backs, performance improvements, and explainable lineage. Build production AI-agent workflows with evaluation, guardrails, and monitoring. Own features end to end, contribute to applications, support incident response, and collaborate with product managers and traders.

Technical lead for Finance Technology data engineering: design and build scalable batch and real-time data pipelines (Hadoop/Spark/PySpark/Scala/Java), optimize data models and APIs, drive cloud-based data architecture (AWS/GCP/Azure), enforce governance/security, and mentor engineers to deliver enterprise financial data services.

Designs and owns data architecture, models, governance, security, and scalable solutions on modern data platforms. Translates business needs into technical designs, guides data engineers, enables AI use cases, leads stakeholder discussions, and identifies opportunities to expand the client engagement. The role is client-facing and requires local Indianapolis availability for onsite or hybrid work.

Build and maintain production knowledge graphs in Stardog using semantic web standards, ontology modeling, SPARQL, virtual mappings, Python, and SQL. Integrate life science data sources, implement data quality and validation, automate CI/CD deployments, support governance and lineage, and collaborate with subject matter experts to develop defensible semantic models.

Leads the design, development, and operation of enterprise data integration solutions, including cloud data lakes, warehouses, ETL pipelines, APIs, data models, and automated CI/CD workflows. Partners with global business and technology stakeholders to deliver scalable, secure, governed, and high-quality data systems. Oversees pipeline operations, performance optimization, testing, documentation, data cataloging, and integration developer standards while supporting project and business-as-usual initiatives.