Senior Professional, Business Analyst

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We are seeking senior supply chain analytics professional to lead global process intelligence KPI design and performance measurement initiatives. As an individual contributor you will shape strategic decisions across global operations by translating complex business challenges into actionable insights. You will leverage Celonis process mining advanced analytics and KPI dashboards to optimize end-to-end supply chain operations identify bottlenecks and support measurable business outcomes.

This role is ideal for someone who thrives in analyzing complex multi-country supply chain operations designing innovative dashboards and KPI frameworks and providing insights to executive leadership without managing direct reports.

Your role:

KPI Design & Dashboard Leadership

• Design develop and maintain global KPI frameworks and automated dashboards to track operational performance inventory strategy demand planning and supply chain efficiency.

• Own the end-to-end lifecycle of dashboards from defining metrics and integrating data sources to developing visualizations and presenting insights.

• Translate performance metrics into actionable insights that guide operational improvements and strategic decisions.

Process Mining & Analytics

• Lead process mining initiatives using Celonis to uncover inefficiencies bottlenecks and optimization opportunities across global supply chain processes.

• Conduct end-to-end supply chain assessments including inventory flow logistics demand and supply planning and product lifecycle management.

• Apply database management skills & advanced analytics techniques (SQL Python/R BI tools) to identify trends anomalies and areas for improvement.

Strategic Insights & Decision Support

• Translate complex business challenges into analytically tractable questions delivering quantifiable recommendations.

• Partner with global operations finance and commercial teams to evaluate initiatives track KPIs and measure ROI.

• Develop executive-level presentations and reports to communicate data insights and recommended actions.

Thought Leadership & Influence

• Serve as a subject matter expert in supply chain analytics process mining and KPI-driven performance measurement.

• Influence cross-functional stakeholders and guide data-driven decision-making and process optimization strategies globally.

• Advocate for data governance analytics best practices and consistent KPI tracking across regions.

• Applies a broad perspective to provide innovative solutions to a variety of complex issues.

• Novel solutions are imaginative thorough practical and consistent with business area objectives.

Project Leadership & Collaboration

• Drive complex multi-country projects independently ensuring actionable insights and measurable outcomes.

• Collaborate with global teams to implement process improvements and system enhancements leveraging data for continuous optimization.

• Mentor junior analysts on analytics methodology dashboard design and process mining techniques.

Why This Role Matters

• Lead analytics initiatives at a global scale owning KPI frameworks and process insights that drive measurable impact.

• Work independently while influencing senior leadership shaping strategic supply chain decisions.

• Leverage advanced analytics tools including Celonis SQL Python/R and BI dashboards.

• Identify opportunities to improve performance optimize operations and support strategic growth.

• Deliver high-visibility insights that inform major operational and strategic decisions.

What you bring to the role:

• Bachelors degree in engineering supply chain data analytics or related field

• 5 years of experience in supply chain analytics process mining or business intelligence at a senior level.

• Expertise in Process Mining SQL Python/R and BI tools (PowerBI Tableau etc.).

• Celonis expertise/experience highly desired.

• Proven track record in KPI design dashboard creation and performance measurement frameworks for global operations.

• Strong experience in end-to-end supply chain analytics including inventory demand and supply planning.

• Ability to translate complex operational challenges into data-driven solutions with measurable impact.

• Advanced Excel skills including pivot tables charting trend analysis and data summarization.

• Excellent collaboration influencing and communication skills; comfortable engaging with senior global leaders.

• Willingness to travel up to 25% as needed.

Preferred

• Experience applying machine learning to supply chain analytics.

• Exposure to multi-country or global supply chain networks.

• Experience leading large-scale high-impact analytics projects independently.

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The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidates primary work location pay grade and variable compensation plan. Individual base pay within each range depends on various factors in addition to primary work location such as complexity and responsibility of role job duties/requirements and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.

At Ingram Micro certain roles are eligible for additional rewards including merit increases annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits paid time off parental leave a 401(k) plan and company match short-term and long-term disability coverage basic life insurance and wellbeing benefits among others.

This is not a complete listing of the job duties. Its a representation of the things you will be doing and you may not perform all these duties.

Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.

Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age veteran status or any other protected category under applicable law.