Forecasting Analyst

Description

/Preferred Qualifications

Summary

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.

Key Responsibilities

1. Forecast Analysis

• 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).

2. Cross-Functional Collaboration

• 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.

3. Modeling

• Conduct part survival analysis using methods like Kaplan-Meier survival analysis and/or similar methods and apply survival regression models to predict future survivability

• Build demand forecasts for critical parts using insights from survival and demand analysis, leveraging available forecasting tools.

• Develop scalable demand sampling approaches for Monte Carlo simulations to evaluate logistics and customer experience.

4. Tool Development

• 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.

Preferred Qualifications:

• Educational background in Data Science, Data Analytics, IT or related

• Manufacturing, Supply Chain, Military or related industry experience required

• 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

Minimum Qualifications

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

• 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

Base Pay Range: $88,900.00 - $151,100.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: 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, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

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