Spares Planning Analyst

KLA

. Analyze large and complex datasets to identify trends, risks, opportunities, and root causes impacting business performance .

Posted 10/6/2026full-timeUnited StatesMid-LevelSenior💰 $77,800 - $114,133 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, predictive modeling, and visualization using tools like Power BI and SQL. Proven ability to collaborate with cross-functional teams to drive data-driven solutions in supply chain and operations.

Highest-signal resume keywords

Power BI DevelopmentSQL Query OptimizationPredictive AnalyticsData VisualizationStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingForecasting ToolsDAXPower QueryPythonSnowflakeSAP HANAAdvanced Analytical FrameworksReporting Automation

Soft Skills

CommunicationProblem-SolvingCollaborationLeadershipStakeholder Management

Tools & Technologies

Power BISQLPythonPlotlyClaude CodeCopilotData Automation Technologies

Industry Keywords

Supply Chain PlanningDemand ForecastingInventory OptimizationMRP ProcessesBOM StructuresFRU PlanningAftermarket OperationsHigh-Mix Low-Volume Manufacturing

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Analyze large and complex datasets to identify trends, risks, opportunities, and root causes impacting business performance
Develop and maintain Power BI dashboards, reports, and visualizations
Partner with stakeholders to gather requirements, define business needs, and translate them into scalable analytics solutions
Bridge business and technical teams to align requirements, capabilities, and project objectives
Build data models, predictive analytics, and forecasting tools
Write and optimize SQL queries and use Python or other analytical tools to automate reporting and perform advanced analyses
Support inventory optimization, fill-rate performance, supply-demand balancing, and forecasting initiatives
Present findings and recommendations to operational teams and senior leadership
Lead and contribute to cross-functional projects focused on process improvement, business intelligence, and operational excellence
Partner with Demand Planning, Supply Chain, Operations, Finance, and IT teams on data-driven solutions

Requirements

What you’ll need

Bachelor's degree in Computer Science, Statistics, Data Analytics, or a related field with 5+ years of relevant experience, or Master's degree in a related field with 3+ years of relevant experience
Minimum 5 years of related experience with a bachelor's degree; or 3 years of experience with a master's degree; or equivalent experience
Experience with Power BI, DAX, Power Query, Plotly, Python, SQL, Snowflake, or SAP HANA
Knowledge of supply chain planning, demand forecasting, inventory optimization, and service operations
Experience in high-mix, low-volume manufacturing environments
Understanding of MRP processes, BOM structures, FRU planning, and aftermarket operations
Experience building predictive models and advanced analytical frameworks
Familiarity with modern analytics and AI tools, including Claude Code, Copilot, and other data automation technologies
Strong proficiency in data analysis, visualization, and reporting tools
Advanced analytical and problem-solving skills
Excellent communication and stakeholder management abilities
Demonstrated success leading or supporting cross-functional business initiatives

Benefits

Comp & perks

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
Paid company holidays
Family care and bonding leave
Performance incentive programs may be available
Reasonable accommodation for qualified individuals with disabilities