Manager, Supply Chain Analytics
$96.6k - $135kXylem
Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. We’re Hiring for a Manager, Supply Chain Analytics!
THE ROLE
The Supply Chain Analytics Manager will be responsible for gathering and analyzing data, generating actionable insights, and creating reports and dashboards to support informed decision‑making within the organization. In this role, the incumbent will also serve as the global supply chain data expert and drive the standardization of organizational data practices and architecture.CORE RESPONSIBILITIES
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python) Independently format, re‑structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis Synthesize business needs with partners and stakeholders to prioritize analytical tools, set goals, and help steer the definition of global supply chain KPIs Use data to identify supply chain process gaps, quantify improvement opportunities, and track value brought to the business from key initiatives Design, build, configure, test, debug, and maintain various reports and dashboards Develop hypotheses and employ a diverse toolkit of rigorous analytical approaches, methodologies, frameworks, and technical approaches to test them Influence partners and end users to employ world‑class data governance and management practices Build credibility through structure and clarity, and become a trusted data resource and process expertREQUIRED QUALIFICATIONS
Bachelor’s degree in Supply Chain, Operations Management, Data Science, Mathematics, Engineering, or a related quantitative field or equivalent practical experience 5+ years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), and querying databases or performing statistical analysis 3+ years of professional experience in a supply chain related field Advanced proficiency to visualize data using PowerBI and/or Tableau desired Experience with SAP S/4 HANA and/or SAP BI desired Use custom data infrastructure or existing data models as appropriate, leveraging specialized knowledge Excellent oral and written communication skills, organizational and time‑management abilities Strong problem‑solving skills Ability to think creatively, strategically, and technically This role may require 10% or less of business travel for global team meetings.SALARY
The estimated salary range for this position is $96,600 to $135,000 plus bonus. Starting pay is dependent on multiple factors, such as skills, experience and work location, and is not typically at the top of the range. We offer a competitive compensation package with a generous benefits package, including Medical, Dental, Vision plans, 401(k) with company contribution, paid time off, paid parental leave, and tuition reimbursement. Our paid Volunteer Program, Xylem Watermark, provides employees with the opportunity to contribute to water solutions and support the community. Please note that the information in this job description outlines the general nature of the position and is not an exhaustive list of duties. Xylem is dedicated to providing reasonable accommodations to enable all employees to perform their essential job functions. We reserve the right to modify this job description and assign additional duties as needed. We are an Equal Employment Opportunity workplace, affirming affirmative action and supporting diversity, inclusion, and belonging. #J-18808-Ljbffr Xylem- ...actionable intelligence. Responsibilities include leading complex analysis and developing forecasting models. Experience in advanced analytics and statistical modeling is crucial. The role offers a hybrid working model, reflecting a collaborative culture that supports long...Suggested
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