Master Data Management Analyst I - Niagara Bottling

Essential Functions

Governance

• Ensures integrity of master data in key systems as well as maintaining and documenting the processes and projects to support ongoing data governance and data integrity. 
• In collaboration with subject matter experts and data stewards; implements data strategy, policies, controls, and programs to ensure the accuracy, completeness, security, and reliability of enterprise master data.
• Participate in projects that involve the upstream or downstream data flows and processes.
• Work with business partners to gather and understand functional requirements across the enterprise.

Improvement

• Assist in identifying areas for data quality and data integrity improvement. 
• Help to identify and resolve data quality issues through the appropriate analysis, correction identification, process control, and improvement.
• Provides data consulting in support of business and information technology initiatives to improve master data management.
• Work with functional business unit team members to identify master data related improvement.

Analysis

• Analyzes and presents data initiative issues and provides potential solution required to best meet internal and customer requirements while adhering to published data standards.
• Performs data audits to identify data cleansing opportunities to ensure data quality by identifying obsolete, duplicate, and un-used data.
• Analyzes processes and procedures for automation implementation.
• Please note this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice.

Qualifications

• Minimum Qualifications:
  • 2 Years  – Experience in Supply Chain, IT, Engineering, or similar manufacturing environment
  • 2 Years  – Experience in Position
  • 2 Years  – Experience managing people/projects
  • 2 Years –  Data Analysis, Data Science, Data Presentation Architecture and/or Statistics
  • 2 Years  – Experience with Oracle Cloud PLM software and/or similar ERP systems.
  • 2 Years – Experience with Excel, PowerPoint, Visio, and Tableua (or related)

*experience may include a combination of work experience and education

• Preferred Qualifications:
  • 4 Years – Experience in Supply Chain, IT, Engineering, or similar manufacturing environment
  • 4 Years  – Experience working in Position              
  • 4 Years  – Experience managing people/projects
  • 4 Years  – Experience Master Data Analysis          
  • 4 Years  – Experience in a large, multiple data source environment
  • 4 Years  – Experience with automation building, functionality, concepts (ex. Python etc.)

*experience may include a combination of work experience and education

Competencies

This position embodies the values of Niagara’s LIFE competency model, focusing on the following key drivers of success:

• Lead Like an Owner
  • Makes safety the number one priority
  • Keeps alert for safety issues and escalates immediately
  • Effectively prioritizes tasks based on department goals
  • Shows respect to others and confronts interpersonal issues directly
  • Prioritizes resolution of customer issues effectively
  • Responds promptly and honors commitments to internal and external customers
• InnovACT
  • Makes recommendations to continuously improve policies, methods, procedures, and/or products
  • Demonstrates adaptability by reacting appropriately to unexpected changes in situations or circumstances
  • Increases performance through greater efficiency
• Find a Way
  • Seeks to develop technical knowledge through learning from other experts
  • Understands interdepartmental impact of individual decisions and actions
  • Seeks solutions rather than placing blame
• Empowered to be Great
  • Communicates effectively to manage expectations

Additionally, the MDM Analyst is expected to demonstrate:

• Insightful – Skilled at identifying opportunities for increasing business efficiency
• Problem Solver – Performs root cause analysis to resolve issues.  Understands cause and effect.  Takes initiative to resolve issues. 
• Technology – Strong working knowledge of all supply chain information and transactional systems with the ability to learn both theory and application of existing and emerging technologies and tools.
• Adaptability – Does not require a rigid framework to operate successfully in; is able to improvise both process and technologically to affect the desire outcome; can clearly explain logical reasons to improvisation.
• Logical – Thinks projects and situations through with very little codified knowledge, follows a clear chain of reasoning when making decisions.
• Planning/Organizing – Uses time efficiently, organizes or schedules other people and their tasks optimally.
• Detail Oriented – Minimizes mistakes.  Follows every step in a process and follows through with all tasks.  Double checks work for accuracy.
• Oral Communication – Speaks clearly and persuasively in positive or negative situations; demonstrates presentation skills. Can explain technical concepts to multiple levels of recipient familiarity.
• Written Communication – Writes clearly and informatively, presents numerical data effectively; able to read and interpret written information from a variety of levels and technical proficiencies.  Can explain technical concepts to multiple levels of recipient familiarity.
• Team Work – Balances team and individual responsibilities; contributes to building a positive team spirite; able to build morale and group commitments to goals and objectives.  Works well across levels and departments.
• Time & Project Management – Comfortable working within tight and changing deadlines; able to work independently.  Oriented towards a deadline completion mindset – puts in the required extra effort to present delays when necessary.
• Judgement – Shows ability to intake, weigh, and determine correct procedures with minimal oversight.  Understands what falls outside of the range of acceptable decisions and seeks supervisory consultation and approval in those cases.
• Coachability – Has the ability to explicitly and thoroughly follow directions, asks questions to make sure directions are clear.

Education

• Minimum Required: 
  • Bachelor's Degree in Computer Science, Mathematics, Statistics, Economics, Supply Chain, Engineering, or Business

• Preferred: 
  • Master's Degree in Computer Science, Mathematics, Statistics, Economics, Supply Chain, Engineering, or Business