Aftermarket Business Data Analyst

KLA

Aftermarket Business Data Analyst transforming complex business data into actionable insights at KLA. Collaborating with cross-functional teams for operational excellence in service and aftermarket operations.

Posted 7/23/2026full-timeAnn Arbor • Arizona, Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $77,800 - $132,300 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 translate business needs into scalable analytics solutions while effectively communicating findings to diverse stakeholders.

Highest-signal resume keywords

Power BI DevelopmentSQL Query OptimizationPredictive AnalyticsData VisualizationStakeholder Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisPredictive ModelingDAXPower QueryPythonSnowflakeSAP HANAForecastingInventory OptimizationBusiness Intelligence

Soft Skills

CommunicationProblem-SolvingCollaborationLeadershipStakeholder Engagement

Tools & Technologies

Power BISQLPythonPlotlySnowflakeSAP HANA

Industry Keywords

Supply Chain PlanningDemand ForecastingMRP ProcessesBOM StructuresAftermarket Operations

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 that enable data-driven decision-making across the organization
Partner with stakeholders to gather requirements, define business needs, and translate those needs into scalable analytics solutions
Serve as a bridge between business and technical teams, ensuring alignment on requirements, capabilities, and project objectives
Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness
Write and optimize SQL queries and leverage 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 audiences ranging from operational teams to senior leadership
Lead and contribute to cross-functional projects focused on process improvement, business intelligence, and operational excellence

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
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
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 and paid company holidays
family care and bonding leave