Sr Analyst, Revenue Reporting

• Health/Rx
• Dental
• Vision
• Flexible and health spending accounts (FSA/HSA)
• Supplemental life insurance
• 401(k)
• Paid time off
• Paid sick time
• Short term & long term disability coverage (STD/LTD)
• Employee stock ownership (ESOP)
• Holiday pay for company designated holidays

At KeHE, we’re obsessed with creating solutions, unboxing potential, and serving others – and it all starts with you. As an employee-owned distributor of natural and organic, specialty, and fresh products, we’re committed to making a positive impact and scaling our success together. With a culture that fosters development and opportunity, you’ll be embarking on a career that’s moving forward. When you join KeHE, you’re becoming part of a team that is a force for good.

The Sr Analyst, Revenue Reporting will help drive profitable revenue growth at KeHE by developing dashboards and ad hoc analysis that deliver strategic insights. Drawing on expertise in reporting, this role will develop dashboards giving visibility into performance drivers, predictive KPIs, and financial outcomes like revenue performance, customer margin, pricing impact, and profitability and maintain a structured commercial reporting cadence, leveraging large datasets for predictive analysis, improving dashboard usability in Power BI, and delivering executive-ready insights that support strategic decisions. As with all positions at KeHE Distributors, we expect that all actions will be consistent with KeHE’s Mission, Vision, and Values.

DUTIES, TASKS AND RESPONSIBILITIES:

• Develop expertise in KeHE’s revenue, profitability, and KPI data, existing reporting, and standard measurements with areas of focus including revenue by channel and product, event ROI, pricing impact, gross-to-net performance, customer churn, and margin dynamics.
• Design, optimize, and maintain effective Power BI semantic models to enable scalable, high-performance reporting.
• Establish standardized measures and reusable data structures to ensure dashboard consistency throughout the organization.
• Build and maintain a structured weekly, monthly, and quarterly reporting cadence that consolidates insights from multiple sources into actionable, easy-to-digest summaries aligned to Commercial and Revenue Management priorities.
• Analyze historical performance and trends to identify actionable insights and present findings in a clear, concise format tailored to executive and commercial stakeholders.
• Continuously improve management reporting through automation, refined KPI frameworks, and enhanced dashboard usability in Power BI; improve data visualization, layout, and user experience (UX/UI).
• Leverage large, complex datasets to deliver customer- and product-level insights via statistical modeling, predictive analytics, and segmentation analysis.
• Perform ad hoc analytics to support leadership requests, using data visualizations and written narratives summarize findings.
• Identify and address data quality issues and upstream data dependencies impacting the revenue reporting.
• Maintain documentation of Power BI models, business rules, data sources, and system knowledge to ensure transparency and accountability for published reports.
• Leverage SQL and DAX to extract, transform, and model data across large, complex datasets.
• Leverage workflow automation tools (e.g., Power Query, Power Automate, Power Apps) to streamline reporting processes, reduce manual effort, and improve accuracy.

SKILLS, KNOWLEDGE AND ABILITIES:

• Proficiency in Power BI, with advanced skills in SQL and DAX.

• Strong understanding of semantic modeling principles that drive consistency, performance, and reliability in enterprise reporting.

• Proficiency in leveraging automation tools (e.g., Power Query, Power Automate) to streamline reporting and improve accuracy.
• Exceptional attention to detail, organization, and communication skills.
• Strong critical thinking and problem-solving skills.

• High level of professionalism, integrity, and ability to manage confidential or sensitive information with discretion.

EDUCATION AND EXPERIENCE:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Finance, Accounting or related field required.
• Minimum of 3+ years of experience in financial, commercial, or operational analytics, preferably within food distribution, retail, or consumer goods.

PHYSICAL REQUIREMENTS:

• Office based role