Top Analysis Reporting Jobs in Fayetteville, AR

Partner with U100 sales to drive small-business growth by delivering analysis, reports, dashboards, and strategic sales support. Recommend process improvements, correct operational errors, lead projects, train sales on platforms, and support renewals and financial/contract evaluations.

The Forward Deployed Accountant leads the deployment of AI Agents for corporate accounting, trains teams, and ensures proper configuration and documentation of automated workflows.

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Leads business analysis and insights initiatives supporting B2B e-commerce fraud strategy. Develops stakeholder relationships, oversees fraud detection rulesets, analyzes financial and operational data, ensures compliance and reporting accuracy, and delivers actionable recommendations. Supervises, mentors, and develops associates while driving process efficiency, continuous improvement, and operational excellence across fraud risk operations.

Manages advanced analytics projects, develops predictive models and prototypes, and applies SQL and Python to complex business problems. Builds dashboards, ETL workflows, analytical data models, and data-quality processes. Partners with leadership and cross-functional teams to translate business needs into actionable insights and recommendations. Leads, mentors, and develops an analytics team while overseeing project execution, testing, documentation, and stakeholder communication.

Leads data strategy, analytics, business intelligence, data quality, visualization, and automation initiatives. Translates complex business problems into actionable insights, collaborates cross-functionally, mentors analytics professionals, and oversees project execution. The role requires expertise in SQL and NoSQL databases, distributed data storage, Tableau, Power BI, Python, data governance, and data privacy. Minimum qualifications include a relevant bachelor’s degree with four years of experience, a master’s degree with two years, or six years of relevant experience, plus one year of supervisory experience.

Leads philanthropy data strategy, reporting, CRM administration, and technology operations. Oversees data governance, system integrity, dashboards, forecasting, campaign reporting, integrations, vendor relationships, automation, and continuous improvement. Partners with philanthropy leadership to improve fundraising performance and operational efficiency, while ensuring data quality, security, compliance, and documentation. Supervises and develops staff and serves as the subject matter expert for philanthropy data and technology.

Build and maintain enterprise data pipelines and integration workflows across on-premises and cloud systems. Ingest, transform, and stage structured and semi-structured data; write and optimize SQL queries, views, and stored procedures; implement data validation, monitoring, alerts, and logging; document pipeline logic; manage source control and code reviews; and support data operations through ticket response and on-call rotations.