Data Operations Analyst
Milwaukee, WI, US, 53204-2941
Komatsu is an indispensable partner to the construction, mining, forestry, forklift, and industrial machinery markets, maximizing value for customers through innovative solutions. With a diverse line of products supported by our advanced IoT technologies, regional distribution channels, and a global service network, we tap into the power of data and technology to enhance safety and productivity while optimizing performance. Komatsu supports a myriad of markets, including housing, infrastructure, water, pipeline, minerals, automobile, aerospace, electronics and medical, through its many brands and subsidiaries, including TimberPro, Joy, P&H, Montabert, Modular Mining Systems, Hensley Industries, NTC, and Gigaphoton.
Job Overview
The Data Operations Analyst plays a vital role in supporting the manufacturing operations by providing data-driven insights to optimize production scheduling and on-time delivery. Serving as a Subject Matter Expert (SME) in SAP, this role focuses on plant performance metrics, capacity management, and process improvements. Responsibilities include managing contract data, producing executive-level reports, conducting training, and coordinating across teams to drive efficiency and productivity.
Key Job Responsibilities
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Provide analytical insights to the operations leadership team on machine forecasts, capacity, on-time delivery, and the impact of schedule adjustments.
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Act as an SME in SAP, analyzing plant performance metrics, addressing system conflicts, and aligning with strategic initiatives.
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Schedule heat treating and generate work instructions for heat treating recipes, ensuring alignment with production needs.
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Develop and maintain reports, dashboards, and training materials for cost and performance analytics using SAP data.
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Work with maintenance teams on preventive maintenance (PM) scheduling to support optimal machine performance.
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Manage and update capacity metrics, ensuring adherence to on-time delivery targets.
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Review daily KPI metrics, populate performance boards, and update Teams files with the latest production data.
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Regularly review production orders and update schedules to reflect capacity needs.
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Monitor Kronos for current activities, generating and analyzing reports as necessary.
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Review aged Work-in-Progress (WIP) orders, driving their completion to maintain workflow efficiency.
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Maintain SharePoint sites relevant to Contract Management and support leadership with trends and performance analysis.
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Create executive-level presentations on business metrics, dashboards, and trends for strategic reviews.
Qualifications/Requirements
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Bachelor's degree in Business, Operations Management, or a related field.
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Expert-level proficiency in SAP, including experience in reporting and analysis for manufacturing and operations.
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Advanced Excel skills with expertise in data visualization, charting, and graphing.
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Experience in managing production capacity, on-time delivery metrics, and heat treat scheduling within a manufacturing environment.
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Strong organizational skills for preventive maintenance (PM) scheduling and KPI tracking.
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Ability to develop and deliver training materials for SAP utilization and operational processes.
Preferred Qualifications
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Experience managing SharePoint content for department-level resources and updates.
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Knowledge of data visualization software to create dashboards and analytical reports for strategic analysis.
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Experience with vendor relations and project deliverables requiring confidentiality.
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Previous experience supporting operations in an international context, including occasional travel (<20%) for system and operational discussions.
Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: DataOps Data visualization Excel Industrial SharePoint
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