KLA Forecasting Analyst 

United States, Michigan, Ann Arbor 

234844416

Qualifications

Below is what you will be doing to drive improvements to our parts forecasting processes:

• Perform forecast accuracy analysis to identify common threads where system forecasting accuracy needs improvement
• Diagnose system forecast accuracy issues, partner with our planning team on system override processes where appropriate to improve accuracy and/or mitigate risk
• Based on the findings, partner with the system integration team to refine the system forecast algorithm as needed
• Perform part survival analysis (Kaplan-Meier survival analysis and/or similar methods), apply survival regression models to predict future survivability
• Analyze demand characteristics across the fleet that behave differently as to be partitioned in analysis (ex. different customers, products, contractual entitlements=, etc)
• Review findings with the part planner / engineering to raise awareness about our products as well as validate assumptions prior to building forecast models
• Build demand forecasts for critical parts by applying the aforementioned analysis to available forecasting tools
• Assist in the development and refinement of forecasting tools in order to best leverage the insights uncovered through demand analysis
• Help build a scalable approach to sample demands to be used in Monte Carlo simulations (designed to evaluate the logistics spend and customer experience based on our supply chain network design and plan investment)
• The sampled demand would reflect the fleet demand characteristics based on historic data

• Educational background in Data Science, Data Analytics, IT or related
• Manufacturing, Supply Chain, Military or related industry experience required
• Validated background in statistics and probability theory
• Experience in conducting statistical analysis with a scripting language such as Python, R, MATLAB, SAS, etc.
• Ability to quickly learn new/differentlanguages/technologies/etc(including SQL)
• Communicate technical information to management and non-technical business partners
• Collaborate with team members to share knowledge and interconnect solutions

Nice to Have's:

• Experience with writing SQL a plus
• Experience with Snowflake a plus
• Experience with Business Intelligence tools (Power BI, Tableau, Qlik, etc), experience with the Power BI / PowerPivot DAX language is a plus

Minimum Qualifications

Bachelor’s degree with +5 years’ work experience, OR Master’s degree with +3 years’ work experience