Top Analysis Reporting Jobs in Little Rock, AR

Lead design, build, and optimize scalable ETL/ELT data pipelines and analytics platforms using Databricks and Spark. Integrate and transform source data into analytics-ready layers, maintain data documentation and lineage, optimize SQL Server performance, collaborate with product and engineering teams, and apply AI-enabled tools responsibly to drive business insights.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Design and maintain enterprise information architecture, including domain models, taxonomies, ontologies, and metadata to make data AI-ready. Operationalize models via enterprise data catalog (Alation), resolve semantic conflicts, define metadata standards, and partner with analytics and AI teams to enable governed, explainable AI and downstream BI/LLM use cases.

Support GTM teams by cleaning CRM data, building lightweight automations and templates, testing AI-assisted workflows, creating reports and dashboards, analyzing revenue data, and improving revenue processes across Salesforce and related systems.

Build and maintain marketing dashboards and reporting frameworks, analyze multi-source marketing data to identify trends and opportunities, develop measurement and attribution approaches, ensure data quality and metric alignment, and deliver actionable insights and ad hoc deep-dive analyses to inform campaign optimization and marketing investment decisions.

Own Mixpanel and partner closely with Product to turn product-level data into decision-grade insights. Define instrumentation and event taxonomy, build dashboards and notebooks, run cohort and retention analyses, design and analyze A/B tests, and collaborate with data engineers to model product event data. Document metrics, maintain a living glossary, and translate findings into actionable product recommendations.

The Senior Azure Data Consultant will build and maintain data pipelines, develop lakehouse solutions, optimize ETL processes, and support analytics capabilities in a Microsoft Fabric environment.

Design, build, and maintain data integration, warehouse, and BI solutions supporting subscriber acquisition, campaign and storefront systems. Create schemas, stored procedures, dashboards, and reports; optimize queries; aggregate multi-source data; ensure data quality, PII compliance, and platform observability. Collaborate across teams, mentor engineers, and provide executive reporting and analytics for video/OTT products.

Drive analytics to shape customer management strategy across credit, product, and operations. Analyze data, run A/B tests, build business cases, identify process improvements, and partner with Product, Credit, Finance, Engineering, and Operations to improve economics, experience, risk, and efficiency.