Top Analytics Jobs in Fayetteville, AR

Leads data strategy for MetLife’s Group Benefits business by connecting business and Data & Analytics teams, establishing shared definitions, resolving ownership gaps, and improving governance and quality. The role leads Data Councils, supports Agile Release Trains, removes data-related blockers, and strengthens data foundations for decision-making, service delivery, analytics, and AI initiatives.

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

Lead Toast’s global People Analytics function across data engineering, analytics, data science, and employee listening. Set the people data and reporting strategy, establish trusted metrics and governance, partner with executives on workforce decisions, measure People program impact with Finance, and build scalable self-service analytics. Manage a distributed US and India team, oversee executive and board-level workforce analysis, and collaborate with privacy, legal, People technology, AI, and data engineering teams.

Leads strategy, planning, and execution of customer EMR integrations for PhareOS. Oversees end-to-end data delivery, integration quality, process standardization, tooling, vendors, and platform enhancements. Builds and scales the data integration team, manages resources and senior client stakeholders, and drives innovation across integration methods and operating models. Requires extensive healthcare data integration leadership, HL7/FHIR and interface engine expertise, SQL proficiency, and strong program management skills.

Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Leads enterprise data governance strategy, transformation, operating model modernization, accountability, and executive engagement. Partners with senior stakeholders to improve data trust, accessibility, regulatory alignment, risk management, analytics, AI readiness, and business outcomes. Represents the Data Office in strategic and regulatory forums, establishes roadmaps and performance measures, resolves cross-functional data challenges, and drives organizational change without direct authority. The role focuses on governance and transformation rather than engineering, coding, analytics delivery, or technical administration.

Leads advanced analytics initiatives, predictive modeling, data strategy, and end-to-end project execution. Manages and mentors analytics professionals, develops models and prototypes, translates complex data into actionable business recommendations, and partners with leadership and cross-functional teams to drive strategic outcomes and continuous improvement.

Manages data analytics and sourcing value initiatives for Consumables, Health & Wellness. Leads stakeholder engagement, cross-functional projects, competitive bid events, business intelligence solutions, dashboards, and reporting tools. Analyzes complex datasets to identify trends, risks, and value opportunities, then presents actionable recommendations to sourcing leaders. The role also advances data governance, continuous improvement, and innovative analytical methodologies while supporting strategic planning and mentoring team members.

Conducts data analysis, develops and tests models, prepares datasets, creates dashboards, and delivers actionable business insights. Supports small analytics projects, executive presentations, process improvements, and stakeholder solutions for Seller Marketplace operations. Collaborates cross-functionally to identify trends, optimize workflows, and enhance AI-driven tools, escalation speed, and case management accuracy.

Leads advanced analytics for Walmart’s cross-border expansion, developing customer, demand, inventory, network, cost-to-serve, and topology models. Translates complex data into investment, launch, selection, and network strategy recommendations. Partners with Supply Chain, Product, Finance, Data Science, and business leaders to measure initiatives, evaluate tradeoffs, and influence expansion priorities.

Leads Walmart shopper insights and analytics for Revlon’s beauty and eCommerce categories. Translates consumer, category, shopper, store, and omnichannel data into strategies that improve sales, market share, profitability, merchandising, and shopper experience. Develops learning agendas, partners on research, evaluates digital commerce and retail-media performance, creates executive-ready stories, and manages an analytics team responsible for scorecards and weekly recaps.

Own Hometap’s product and marketing event-data ecosystem, including taxonomy, tracking plans, governance, Segment Protocols, schema validation, and source management. Partner with marketing, product, and engineering to define instrumentation and event specifications. Build monitoring for schema conformance, event volume, and property completeness, while documenting standards and managing event review and deprecation processes.

Leads reporting, business intelligence, analytics, data engineering, automation, visualization, governance, and AI enablement. Develops scalable cloud-based data solutions, dashboards, predictive models, and actionable insights for commercial and leadership teams. Oversees data quality, reporting optimization, workflow automation, and self-service analytics while managing and mentoring an analytics team. Partners with technology and business stakeholders on data platforms, forecasting, customer reporting, and strategic initiatives.

Leads advanced Brand and Consumer analytics, integrating insights across marketing mix modeling, forecasting, commercial performance, and digital commerce. Develops data-driven narratives, translates complex analyses into actionable recommendations, and advises executives and stakeholders. Builds trusted client relationships across Marketing, IT, Sales, and Finance while using SQL, Python, statistical methods, and hypothesis-driven analysis to identify performance drivers and business opportunities.

Leads an eight-person analytics engineering team and sets strategy for trusted semantic models, governed data, enterprise BI, AI-powered data access, and production data applications. Oversees data modeling, evaluation datasets, telemetry, LLM routing, governance, security, and self-service capabilities. Partners cross-functionally to establish engineering standards, roadmaps, and measurable business impact while hiring, coaching, and developing team members.

Leads advanced data analytics and engineering initiatives, including data infrastructure, ETL, pipelines, warehousing, governance, visualization, and AI-enabled solutions. Supervises analysts, manages data systems and Smartsheet workflows, ensures documentation and contract compliance, and delivers insights, reports, and recommendations to improve program operations and grant management.

Own the analytics function supporting fraud, credit risk, and operations. Build automation, reporting infrastructure, fraud-rule backtesting frameworks, risk-label systems, dashboards, and AI-assisted tools. Partner with stakeholders to identify high-impact opportunities, reduce manual work, and track hours saved. This hands-on individual contributor role has managerial scope and includes defining a new analytics function.

Designs scalable ETL/ELT pipelines, analytics-ready data models, and executive dashboards using Python, SQL, Tableau, Power BI, and cloud tools. Performs data mining, modeling, validation, documentation, and reporting while collaborating with technical and business stakeholders. Provides mentorship and technical guidance on analytics engineering, workflow automation, and data best practices. The role is fully remote, requires U.S. citizenship, and requires or permits obtaining Public Trust and Top Secret eligibility.

Designs and maintains scalable data pipelines, integrations, and foundational data models using Snowflake, dbt, and AWS. Establishes data quality, testing, governance, and documentation standards while supporting analytics, financial systems, and reporting. Partners with Engineering, Analytics, Finance, and Operations, leads technical decisions, improves development workflows, mentors teammates, and incorporates AI coding agents into engineering processes.

Leads the development of scalable business intelligence, reporting, dashboards, data governance, and analytics capabilities. Integrates syndicated CPG, loyalty, inventory, and store-level data to generate actionable commercial insights. Partners with Consumer Insights and cross-functional leaders, manages external data providers, improves data quality, and helps implement AI-enabled reporting and analytical workflows. Requires strategic leadership combined with hands-on data, BI, and stakeholder engagement.

Leads operational analytics and reporting for Business Operations, including recurring performance reporting, KPI development, dashboards, data validation, root-cause analysis, and actionable insights. Partners with cross-functional leaders to improve performance management, reporting automation, data quality, and decision-making. Builds and develops a high-performing analytics team while connecting operational metrics to customer experience, productivity, service, revenue, and cost.

Designs and maintains enterprise reports, dashboards, datasets, data models, and analytics solutions for DoD and DHA healthcare contact center operations. Translates contractual and operational requirements into standardized metrics and reporting specifications using Salesforce CRM Analytics, Salesforce Health Cloud, Amazon Connect, and related tools. Supports workforce management, quality assurance, patient engagement, data validation, automated refreshes, troubleshooting, compliance, and stakeholder reporting.

Leads strategy, roadmaps, quality standards, and modernization for College Board’s higher education data programs. Builds affordability measurement frameworks, dashboards, reports, market analyses, and opportunity scoring to guide institutional and student outreach. Analyzes international higher education data to expand SAT and AP recognition. Partners cross-functionally, manages external relationships, influences stakeholders, and translates complex datasets into strategic recommendations and actionable insights.

Design and maintain Twilio’s R&D analytics data layer using AWS and analytics modeling tools. Define metrics and data lineage, build automated reconciliation and quality checks, investigate anomalies, and communicate solutions. Collaborate with Product and Engineering, mentor analytics team members, and establish best practices for data modeling, testing, documentation, and code review.