Analyst, Supply Chain BI

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.

Pay

Full-time pay range: $78,210.00 – $114,648.00 per year.

Benefits

• Health, prescription, dental, and vision coverage starting on day one
• Flexible and health spending accounts (FSA/HSA)
• Supplemental life insurance
• 401(k) retirement plan
• Paid time off and paid sick time
• Short-term and long-term disability coverage (STD/LTD)
• Employee stock ownership plan (ESOP)
• Holiday pay for company-designated holidays

Responsibilities

• Define, analyze, and track supply-chain metrics; provide recommendations and insights based on trends, patterns, and gaps to improve key metrics.
• Extract data through SQL, develop reports and queries from databases (Microsoft SQL, Power BI, Microsoft Access, Cognos), and summarize insights to assist decision-making at all levels within Supply Chain.
• Apply expertise in data mining, quantitative analysis, and data visualization to tell compelling stories behind the numbers.
• Build and maintain data warehouses, data views, reports, and dashboards using relational databases and data warehouses.
• Help Supply Chain arrive at business decisions by providing efficient data visualizations and simplifying complex insights.
• Understand different roles within Supply Chain and innovate to automate data needs for these roles.
• Partner with business teams to gather, document, and maintain business and system requirements that inform data modeling decisions.
• Research and root-cause issues that arise; validate and perform end-to-end testing of all work prior to client deployment.
• Partner with IT on data requirements needed to support the build of data models.
• Understand data engineering and ETL mechanisms to transfer data between databases or data warehouses.
• Work with data scientists to interpret results from statistical algorithms and apply them toward Supply Chain KPI improvement.
• Coordinate data feeds and updates; support other identified supply chain/logistics projects.
• Perform other duties and projects as assigned.

Requirements

• Four-year college degree in Business or a related field (e.g., business, finance, math, economics).
• 2–4 years of experience in an analytical role, preferably in supply chain or logistics.
• Basic understanding of transportation, warehousing, supply-chain execution software, and third-party logistics.
• Experience with analytic software applications (Power BI, Tableau, Excel, Access, Cognos).
• Experience developing visuals and dashboards/scorecards using Power BI.

Skills

• Comfortable translating loosely defined business questions into clearly defined technical/data/report specifications.
• Excellent analytical and problem-solving skills; ability to manage large volumes of data.
• Proactive and assertive in follow-through with colleagues and business partners.
• Proven ability to manage a wide variety of tasks simultaneously under time pressures.
• High attention to accuracy and detail.
• Strong verbal and written communication skills; ability to write clear and concise business communication.
• Ability to think quantitatively and qualitatively about operating processes and outcomes.
• Ability to understand and translate moderately technical concepts verbally and in writing.
• Ability to evaluate complex issues and develop actionable plans.
• Ability to quickly learn and apply new skills.

Physical Requirements

These physical demands are representative of those necessary to successfully perform the essential functions of the job.