Stryker
Planning Data Analyst
Job Description
Work Flexibility: Hybrid
Position summary:
As a Planning Data Analyst, you will play a pivotal role in driving data-driven decision-making processes within planning team. Your primary responsibility will be to manage, develop, and interpret data or reports related to various aspects of planning team. Working closely with cross-country members, you will contribute to the development of strategic initiatives by providing insights derived from your analytical and development expertise.
Essential duties & responsibilities: (detailed description)
- Master Data Management: Work on maintenance or creation of item, trade lane, supplier, PO, Inventory, E&O, SO(aged), demand plan, and NRP data
- Develop and automate various planning reports using database and available tools.
- Refresh and maintain existing data or reports on a regular basis, and conduct training if required.
- Data Validation(except for DP & NRP): Regular and thorough validation processes to contribute to the overall quality of data-driven insights.
- Data/Report Quality Improvement
- Identify opportunities to enhance data processes, analysis methodologies, and mechanisms.
- Work towards continuous improvement in the accuracy and efficiency of planning activities.
- Data Visualization and Reporting: Visualize the data related to planning to create effective reports that support decision-making.
- Identify Key Issues and Risks: Identify and assess major issues and risks related to planning to address or mitigate them.
Education & special trainings:
- Bachelor’s degree in data science, industrial engineering, supply chain
- Min relevant experience in supply chain, data or report development based on automation technology.
- Proficiency in Excel, Power BI, SQL, Python/R, or any other programming languages
- Work experience in a team-based environment within manufacturing or supply chain
- Proven track record of making health care better with customers.
- ERP, BI
Qualifications & experience:
- Capabilities in developing various required data/reports by combining company database, data science and automation skills.
- Experience analyzing large data sets and proven analytical skills to draw action items, insights, and recommendations from data.
- Interpersonal and communication skills – able to interact independently with stakeholders.
- Proven ability to work collaboratively across functional teams on resolving problems and/or projects.
- Meticulous, detailed oriented and sense of urgency for problem solving.
Travel Percentage: None