Top Analysis Reporting Jobs in Little Rock, AR

Lead and architect end-to-end Master Data Management (MDM) solutions, integrate MDM platforms with business processes, manage client relationships and project delivery, mentor and coach team members, and ensure data quality, stewardship, taxonomy design, and model harmonization to support business decision-making.

Lead design and implementation of enterprise Product Information Management (PIM) solutions, drive product data quality and integration, manage client engagements and business development, mentor team members, and improve processes to align product data practices with organizational objectives.

Lead and manage delivery of modern data ecosystems and managed data & analytics programs. Oversee project planning, budgeting, quality, and client relationships. Mentor and coach teams, drive strategic data initiatives, convert insights into business opportunities, manage risks/issues, and ensure high standards and operational excellence across managed services engagements.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Design and own end-to-end data models and dbt transformations on BigQuery, maintain the semantic layer in Lightdash, govern metrics, enable AI-assisted analytics workflows, partner with stakeholders to deliver trusted reporting, and lead data modeling standards, testing, and documentation.

Lead architecture and reliability of the data platform, build and harden ingestion (batch and CDC), own BigQuery+dbt transformations, establish testing/observability/governance, mentor engineers, develop Python tooling and APIs, run POCs for lakehouse/open table formats, and define AI-assisted development practices.

Support the Data Team with ad hoc analyses, SQL queries, dashboard maintenance, data quality, and AI-assisted analytics workflows. Prepare reports and presentations, document metrics and workflows, triage data requests via Jira, and help maintain data integrity across BI tools for internal stakeholders.

Support risk and analytics efforts by performing SQL/Python-based analysis, monitoring portfolio health, building scalable reports, collaborating cross-functionally, and integrating AI tools to surface insights that inform product, risk, and growth decisions.

The Staff Analyst will design analytical frameworks, lead business case development, and provide insights across departments while mastering insurance analytics.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Design, build, and operate large-scale data platforms and Spark/PySpark pipelines. Enable data integration, modeling, quality, and observability. Build MCP servers and AI-augmented tooling, mentor engineers, and lead cross-functional projects to deliver reliable data products.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.