Senior Manager Reporting Analytics and AI Enablement

Location: Bentonville, AR, USA, remote

Work Location: remote local

• Build and maintain scalable reporting and analytics solutions using modern cloud-based data and analytics platforms.
• Integrate and manage data from ERP, CRM, retailer, syndicated, financial, and operational systems.
• Utilize Python, SQL, Databricks, Microsoft Fabric, Power Platform, and related technologies to automate reporting and analytical workflows.
• Partner with technology teams to establish efficient data architectures, pipelines, and governance frameworks.
• Drive automation initiatives that reduce manual reporting efforts and improve overall productivity.

• Analyze large and complex datasets to identify performance trends, risks, opportunities, and actionable recommendations.
• Deliver insights related to sales performance, customer development, distribution, pricing, promotions, category performance, and market share.
• Conduct root-cause analyses and develop data-driven recommendations for commercial teams and leadership.
• Support annual planning, customer reviews, forecasting, and strategic business initiatives.
• Create compelling business narratives that transform data into meaningful stories.

• Architect and develop enterprise business intelligence solutions, dashboards, and semantic models.
• Create and optimize complex calculations, measures, KPIs, and data models.
• Design intuitive visualizations that improve accessibility and drive business adoption.
• Implement performance optimization best practices within reporting environments.
• Support self-service analytics capabilities across the organization.

• Develop automated reporting processes using Python, SQL, Power Query, Power Automate, and related technologies.
• Eliminate manual reporting through workflow automation and scalable solutions.
• Build and maintain data pipelines that integrate data from multiple internal and external sources.
• Improve reporting efficiency, accuracy, and refresh performance through automation initiatives.
• Partner with technology teams to enhance data architecture and system integrations.

• Develop predictive, diagnostic, and exploratory analytical models to support business objectives.
• Create analytical frameworks that identify drivers of performance and customer opportunities.
• Support forecasting, trend analysis, and business scenario modeling.
• Evaluate emerging analytics technologies and recommend innovative solutions.

• Ensure data accuracy, reliability, and consistency across reporting platforms.
• Develop processes for data validation, testing, and quality assurance.
• Establish documentation, metadata standards, and reporting governance practices.
• Collaborate with IT and business stakeholders to improve data management processes.

• Lead, mentor, and develop a high-performing reporting and analytics team.
• Foster a culture of continuous improvement, innovation, and accountability.
• Provide coaching on analytical methodologies, visualization techniques, and business storytelling.
• Manage project prioritization, workload balancing, and resource planning.
• Drive professional development and technical skill advancement across the team.
• Other duties as assigned.

• Curious self-starter with an ability to proactively identify needs and opportunities then establish a plan to meet those needs.
• Ability to effectively create and implement programs for area of responsibility.
• Collaborative and able to align with internal and external stakeholders.
• Curious and willing to investigate root causes of in-market performance results.

• Use a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses.
• Build partnerships and work collaboratively with others to meet shared objectives.
• Take on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Understands the business and organizational environment and shows interest in adapting to their culture and ways of working.

• Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, Finance, Information Systems, Computer Science, or related field.
• 7+ years of experience in business intelligence, reporting, data analytics, or related disciplines.
• 3+ years of leadership experience managing analytics, reporting, or business intelligence teams.
• Expert-level proficiency in Microsoft Power BI and other reporting software.
• Advanced Microsoft Excel skills including Power Query, Power Pivot, complex formulas, and analytical modeling.
• Strong experience with Python for data transformation, automation, reporting, and analytics.
• Experience working with SQL and relational databases.
• Strong knowledge of data modeling, visualization best practices, and dashboard development.
• Excellent communication and presentation skills with the ability to explain complex analytics to non-technical audiences.
• Proven ability to manage multiple projects and stakeholders in a fast-paced environment.

• Experience supporting Customer Development, Sales, Category Management, Revenue Growth Management, or Consumer Packaged Goods (CPG) organizations.
• Experience with retail POS data, syndicated data platforms (Circana, NielsenIQ, SPINS), and customer reporting.
• Knowledge of Microsoft Fabric, Azure Data Services, Databricks, Snowflake, or cloud analytics platforms.
• Experience with machine learning, forecasting, and predictive analytics.
• Power BI, Microsoft Data Analyst, or related analytics certifications.
• Knowledge of Microsoft Copilot, Copilot Studio, Generative AI Applications, Prompt Engineering, Power Platform, Automations Solutions.
• Scintilla knowledge preferred.
• Knowledge of Python and SQL preferred.