Manager, Data Analyst
Summary
Manages SAP material master data and forecast-to-load pipelines for new product launches, ensuring accuracy and compliance while coordinating with cross-functional teams in a fast-paced consumer-goods environment.
Manager, Data Analyst
AT COCA-COLA EUROPACIFIC PARTNERS
- University degree - preferably in business management, data studies or comparable course of studies
- Fluent written and verbal skills (conversational and business communications) in English
- Lean Six Sigma Green Belt or alternative would be considered a strong advantage
- Analytical Thinking - Intermediate
- Relationship Management - Advanced
- Finance Operations and Accounting - Foundational
- Design Thinking - Intermediate
- Project Management - Intermediate
- IT System Landscape - Advanced
- Previous work experience within a central Data / Supply Chain/ Finance organization with focus on process excellence & decision making
- Excellent knowledge of MS Excel required (advanced)
- ERP experience essential, preferably SAP
- Mastery of Material Master & Production Execution data areas
- Strong Data Mindset & Passion for Data
- Demonstratable understanding of Market-to-Order & Supply Chain Processes and the data solutions & systems enabling them would be considered an advantage
- Process & Operational Excellence experience and approach
- Very strong time management, planning and organizing skills
- Can-do attitude & proactivity mindset
- Technical acumen – you are able to quickly pick up new systems, tools including Advanced excel.
- Attention to details
- Analytical skills
- Demonstratable strong influencing skills
- Excellent communication & interpersonal skills
- Keen to share his knowledge with others, strong people development mindset
- Demonstrable relationship building experience withing a multinational environment.
- You Thrive working with people
- Curious and problem-solving nature
- Ability to confidently make rapid decisions in a dynamic business environment
- Very strong time management, planning and organizing skills
- Can-do attitude & proactivity mindset
- Technical acumen – you are able to quickly pick up new systems, tools including Advanced excel.
- Eagerness to learn, experiment and not be afraid of failure
- Analytical skills
- Attention to details
YOUR ROLE
- Manages escalations coordinating communication with senior management & external partners as relevant
- Leads the design & executes training plan for new team members as well as drives upskilling opportunities amongst existing team/s to improve expertise & performance
- First line of contact for escalations related to the Forecast to load data objects pipeline
- Support the NPI Lead with workload distribution, performance assessment & recruitment
- Support and/or lead on change management initiatives, deployment of new services etc.
- Partake and be involved actively on strategic discussions related people, systems, process & data
- Identify process & operational opportunities for improvement and drive a plan for their application
- Supplies advice and/or acts as a Lead data business SME towards highly complex or high-risk initiatives
- Be directly integrated within CCEP`s product innovation framework acting as direct extension of the ISS NPI organization
- Lead analysis/audit to ensure accuracy of Data and put action plan in place to correct faulty data.
- Lead to resolution and communicate any issues with relevant stakeholders
- Support/drives SAP and other technical/business initiatives through solution data design, delivery, and migration
- Works with each CCEP BU to build positive, constructive relationships and works in partnership with each to support an effective and smooth collaboration with the CCEP BG
- Works and liaises closely with ISS NPI and other key stakeholders
- Act as a role model regarding Team and Company values & culture
- Create, maintain, and validate material master records in SAP systems
- Manage material attributes
- Handle lifecycle management of the different data objects in scope (creation, extension, changes, blocking, and deletion)
- Ensure accuracy, completeness, and consistency of master data across plants, warehouses, and sales organization
- Supports new product launches (NPD/NPI) by ensuring timely and correct master data setup
- Monitor and resolve data inconsistencies, duplicates, and errors
- Enforce master data governance policies, naming conventions, and approval workflows