Our North American Supply Chain enables company growth by delivering savings through efficient operations and high levels of service that create competitive advantage while earning and keeping customers' trust.
The supply chain uses data to make informed decisions across the goods flow and relies on accurate, timely and intuitive insights to operate at a high level.
Ecolab is seeking a Planning Manager to support our North American Planning Analytics and Master Data team in master data readiness & best practices as well as supporting the analytics team as needed with data infrastructure development as part of the rollout of a new Advanced Planning System (Kinaxis RapidResponse).
Primarily, this individual will be responsible for being the lead user and SME (Subject Matter Expert) of the new APS Solution for master data and analytics.
This role would include the creation of best practices and SOPs for master data maintenance and configuration and support of the definition, configuration, and ingestion strategy of new datasets and insights included in the conversion to the new APS.
The successful candidate must have a strong understanding of supply chain and planning strategy coupled with a familiarity of data and analytics systems like Azure Data Factory, Snowflake, and PowerBI.
Ideally, the candidate will have experience with Kinaxis RapidResponse or a similar advanced planning system.
What You Will Do :
Develop new best practices and methodology to maintain core APS master data settings :
- Become the SME on master data inputs to Kinaxis Rapid Response including how to source, maintain and setup
- Create process documentation to support ongoing master data maintenance at the appropriate cadences
- Understand the operational strategies of Ecolab North America supply chain and the best way to configure the system to optimize service and inventory levels
- Train and prepare the greater user base to effectively leverage best practices to match desired strategies
- Develop reporting or metrics to monitor governance and adherence of master data configurations and settings
Collaborate with other supply chain functions to improve data inputs to core planning decision points :
- Identify required data to increase effectiveness of the APS & user base decision making; collaborate with other functions to source, cleanse and reference data into APS
- Create SOPs that capture data sourcing, cleansing and ingestion into the APS, as well as how to monitor the health of master data inputs
Act as the lead user for NA Planning Analytics & Master Data within the global APS conversion to support the development new datasets and critical reporting related to the new system :
- Support the analytics team in definition of new datasets, mapping of existing datasets to the new system, and develop new connections to the data.
- Become the SME (Subject Matter Expert) on the data inputs and outputs of Kinaxis including how to extract insights for Demand Planning, Supply Planning and Material Planning
- Develop a deep understanding of the new APS data and reporting capabilities and how to best harness and deploy the insights to the user base
Communicate with internal customers on their analytics reporting needs, specifically regarding the areas below, and take action to as appropriate to address :
- New Power BI Reports, Dashboards, or similar items in Excel
- Modification of existing Power BI Data Models and reports to convert from previous planning systems to the new APS
- Development of new metrics or refined data sets to support business needs
- Collaborate with functional lead users to develop analytical tools to aid in new processes and best practices (including but not limited to S&OP, Control Tower, Demand review, Sourcing Design, Cost vs. Service)
- Be able to convert business requirements to the appropriate data strategies and be fluent in both operational strategy and data strategies
Minimum Qualifications :
- Bachelor's degree
- 10 years of experience required, including 5 years of Supply Chain experience
- Immigration sponsorship not available for this position
Preferred Qualifications :
- Bachelor's degree in business, Engineering, Supply Chain Management, Data Science
- Familiarity with Kinaxis RapidResponse
- CPIM or master’s degree in supply chain management or similar field or certification
- Experience with Python and R programming languages
- Knowledge of / Experience with basic Machine Learning models
- Advanced knowledge of SQL and Microsoft Azure
- Prior consulting or systems and data integration experience
- Strong knowledge of supply chain planning principles
- Basic knowledge of SQL and Microsoft Azure
- Experience creating Power BI data models, reports, and dashboards
- Familiarity with SAP
- Passion for driving digital transformation of the supply chain
Benefits
Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families.
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Our Commitment to Diversity and Inclusion
At Ecolab, we believe the best teams are diverse and inclusive, and we are on a journey to create a workplace where every associate can grow and achieve their best.
We are committed to fair and equal treatment of associates and applicants. We recruit, hire, promote, transfer and provide opportunities for advancement on the basis of individual qualifications and job performance.
In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran.
In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA).
Our goal is to fully utilize minority, female, disabled and covered veteran individuals at all levels of the workforce. Ecolab is a place where you can grow your career, own your future and impact what matters.
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.