Supply Chain Data Analyst - MDM
About The Position
As a member of the Supply Chain Digitalization team, your primary responsibilities will be to identify, collect, process, and analyze datasets to help make informed business decisions. You will also assist with data analysis assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents. You will also serve as the data steward and SME for data that impacts Global Procurement & Supply Chain “GPSC”. Discover, acquire, explore, prepare, assess and maintain datasets from internal data sources to support analyses and ad-hoc investigative requests for projects which are function/business unit specific. Lead master data management initiatives and related-system implementations to ensure reasonable data integrity across high impact GPSC data sources. Under limited supervision, responsible for data analysis assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including resolution of root causes. Apply skills in SQL and statistical techniques to the acquisition, enrichment, and analysis of data. Resolve incidents, changes, problems, tasks, and demands. Applies knowledge of process, people, product, data, and systems of related business functions within at least one business unit. Define Business Problems & Opportunities. Define Relevant Dimensions & Measures. Collaborating with Data Engineers, draft and test data views to meet business needs for projects. Collaborating with Data Scientists, learn and align on basic understanding of predictive and prescriptive analytics, as well as machine learning and artificial intelligence. Provide Data to Confirm Problems & Opportunities. Draft Goals, Roles, and Sustainment Plans. Collaborate with cross-functional teams (e.g. scientists, data engineers, business operations support, consultants) on data needs for solutions which may be projects focused on a single business function within a single business unit (Limited Complexity). Apply technical writing and verbal communication skills to assist in the change management (e.g. training instructions) and on-going management of data solutions. Actively participate in Function/Business Unit/Digital Technology Analytics Communities of Practice. Assist business' citizen analysts in building views and in analyzing, interpreting, and communicating data insights.
Requirements
- Bachelor’s degree in Computer Science, Information Systems or equivalent.
- Three (3) or more years of experience in Data Analysis, Information Technology, or in a related area.
- Experience and proficiency with various web-based software applications including Power BI, Azure Databricks, and the Microsoft Suite (ie. PowerPoint, MS Word, etc.).
- Ability to travel 20%
Nice To Haves
- Attention to detail, problem solving, and decision-making skills.
- Analytical, written, and excellent verbal communication skills.
Responsibilities
- Identify, collect, process, and analyze datasets to help make informed business decisions.
- Assist with data analysis assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents.
- Serve as the data steward and SME for data that impacts Global Procurement & Supply Chain “GPSC”.
- Discover, acquire, explore, prepare, assess and maintain datasets from internal data sources to support analyses and ad-hoc investigative requests for projects which are function/business unit specific.
- Lead master data management initiatives and related-system implementations to ensure reasonable data integrity across high impact GPSC data sources.
- Under limited supervision, responsible for data analysis assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including resolution of root causes.
- Apply skills in SQL and statistical techniques to the acquisition, enrichment, and analysis of data.
- Resolve incidents, changes, problems, tasks, and demands.
- Applies knowledge of process, people, product, data, and systems of related business functions within at least one business unit.
- Define Business Problems & Opportunities.
- Define Relevant Dimensions & Measures.
- Collaborating with Data Engineers, draft and test data views to meet business needs for projects.
- Collaborating with Data Scientists, learn and align on basic understanding of predictive and prescriptive analytics, as well as machine learning and artificial intelligence.
- Provide Data to Confirm Problems & Opportunities.
- Draft Goals, Roles, and Sustainment Plans.
- Collaborate with cross-functional teams (e.g. scientists, data engineers, business operations support, consultants) on data needs for solutions which may be projects focused on a single business function within a single business unit (Limited Complexity).
- Apply technical writing and verbal communication skills to assist in the change management (e.g. training instructions) and on-going management of data solutions.
- Actively participate in Function/Business Unit/Digital Technology Analytics Communities of Practice.
- Assist business' citizen analysts in building views and in analyzing, interpreting, and communicating data insights.
Benefits
- Competitive total rewards package
- People-first culture
- Various opportunities to support team member growth and success
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
