Top Data & Analytics Jobs in Fayetteville, AR

The Manager of Analytics oversees a team to deliver impactful analytics and insights, supports business decisions, and integrates AI applications in analytics. They also manage testing portfolios and develop actionable insights for marketing strategies.

Serve as the bridge between business stakeholders and development for internal data initiatives. Own intake, discovery, and requirements documentation for analytics, BI, and reporting. Write user stories, acceptance criteria, data definitions, and reporting logic. Maintain a prioritized backlog, support stakeholder validation of prototypes, participate in agile ceremonies, and resolve requirement gaps and risks to ensure development can execute independently.

The Data Analyst will support operational reporting and stakeholder needs, working with SQL and Artiva to meet business requirements through data and reporting solutions.

Implement, QA, and document analytics tags across GTM, GA4, server-side pipelines, Quantum Metric, Dynamic Yield and marketing pixels. Translate Figma into developer-ready data layers, collaborate with engineering to ensure tracking parity (web, app, Shopify), maintain pixel integrity, support experimentation piping, monthly audits, consent enforcement, and contribute to QA and solution documentation.

Lead Consumer Lending decisioning analytics across credit card, HELOC, and personal lending. Translate business needs into analytical approaches, perform hands-on analysis and validation, oversee and mentor junior/offshore analysts, partner with stakeholders, and drive automation, model monitoring, and process improvements to scale analytics capabilities.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

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.

The Lead Product Analyst will design experiments, ensure data quality, build dashboards, and create an experimentation framework focusing on growth and product metrics.

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.

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.