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KLA Business Process Analyst Supply Chain 
United States, Michigan, Ann Arbor 
209629881

31.07.2024

Responsibilities:

  • Collect, analyze, and report business data.

  • Leads investigation for process improvement.

  • Provide support to team on systems related questions.

  • Use large datasets to define KPIs and generate reports.

  • Build and maintain dashboards and other reporting tools to supervise data.

  • Use graphs, infographics, and other methods to visualize data.

  • Write queries or data transformation scripts using SQL or Python.

  • Build predictive models.

  • May directly produce datasets and reports for analysis using system reporting tools.

  • Present analysis to leadership and key customers for key decision making.

  • Lead projects, develop project plans, and supervise performance.

  • Work across multiple functional business areas to bring data together in ways that enable end-to-end business process reporting and analysis.

Preferred Qualifications:

  • Rooted in supply chain standard methodologies.

  • BS or BA, preferably in a relevant field such as Business, Supply Chain Management, Logistics, Data Analytics

  • Experience with HANA or Snowflake.

  • Prefer candidates who have been exposed to a business environment characterized by high-mix, low-volume products.

  • Strong data and analytical skills with focus on creating predictive systems and processes to improve business performance.

  • Change agent with experience proposing and selling new insights and challenging norms.

  • Concise and impactful oral and written communication skills.

  • A history of leading and supporting successful projects.

Minimum Qualifications

  • Bachelor's Level Degree with at least2years of experience.

  • Data analysis, data warehousing, and data reporting.

  • Experience with BI tools and SQL (preferably Power BI) for data visualization and reporting.

  • High proficiency in MS Excel and Access.

  • Sophisticated Excel capabilities (pivot tables, chart creation, and presentation of data)

  • ·Good communicationand presentation skills

  • Be process-oriented and results-driven, and focused on continuous improvements

  • Candidate must be hard-working, independent, yet a solid team player.

  • Creative, innovative and resourceful with a passion for speed, agility, simplification and proactive action