Forecasting Analyst

KLA • Ann Arbor, MI

65d • $88,900 - $151,100

About The Position

Continuous improvement of spares demand forecast process: Our business supports a wide range of spare parts profiles; from nuts and bolts to highly sophisticated optics/lasers/high precision mechanical devices/etc. This role will play a key role in improving our parts forecasting processes by analyzing data, refining forecasting models, and collaborating across teams to enhance accuracy and decision-making.

Requirements

• 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/different languages/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 Haves

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

Responsibilities

• Perform forecast accuracy analysis to identify patterns and areas for improvement.
• Diagnose system forecast issues and recommend overrides to improve accuracy or mitigate risk.
• Analyze demand characteristics across different fleet segments (e.g., customers, products, entitlements).
• Partner with the planning team to refine forecast processes and apply overrides where appropriate.
• Work with the system integration team to enhance the forecasting algorithm(s) based on insights.
• Review findings with part planners and engineering to validate assumptions and raise product awareness.
• Conduct part survival analysis using methods like Kaplan-Meier survival analysis and/or similar methods.
• Apply survival regression models to predict future survivability.
• Build demand forecasts for critical parts using insights from survival and demand analysis.
• Develop scalable demand sampling approaches for Monte Carlo simulations to evaluate logistics and customer experience.
• Support the development and refinement of forecasting tools to incorporate analytical insights.
• Ensure sampled demand reflects fleet-wide characteristics based on historical data for simulation and planning purposes.

Benefits

• Medical, dental, vision, life, and other voluntary benefits.
• 401(K) including company matching.
• Employee stock purchase program (ESPP).
• Student debt assistance.
• Tuition reimbursement program.
• Development and career growth opportunities and programs.
• Financial planning benefits.
• Wellness benefits including an employee assistance program (EAP).
• Paid time off and paid company holidays.
• Family care and bonding leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees