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Senior HR Analyst

Senior HR Analyst
Komatsu
Milwaukee, WI
Onsite or Remote:  Hybrid Position

To apply, follow the link below:
https://komatsu.jobs/job/Milwaukee-Sr-Data-Analyst-HR-Analytics-WI-53204-2941/1255023400/


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
We have an exciting opportunity for a Senior HR Analyst to join our team in Milwaukee, WI (South Harbor District). This position is responsible for analyzing large and complex datasets to generate insights and recommendations that support strategic HR decisions. The role involves enabling or deploying predictive models and collaborating with HR business partners, analysts, and other stakeholders to develop and implement data-driven solutions that enhance the effectiveness of HR programs and initiatives. 
This position is not eligible for remote work now or in the future, and temporary relocation to the Milwaukee area is not available.

Key Job Responsibilities
  • Collaborate with HR business partners, analysts, and other stakeholders to identify opportunities for data-driven improvements in HR processes and programs. 
  • Build predictive models for critical HR functions, such as employee attrition, workforce planning, and talent acquisition strategies to forecast hiring needs, skill gaps, and workforce growth based on business objectives. 
  • Apply machine learning and advanced statistical techniques to solve complex HR challenges. 
  • Analyze large, complex datasets related to HR, such as employee demographics, performance, compensation, and engagement data. 
  • Develop predictive models to identify trends and patterns, forecast outcomes, and inform HR decisions. 
  • Design and implement experiments to test the effectiveness of HR initiatives and programs. 
  • Create data visualizations and dashboards to communicate insights and recommendations to HR and business leaders. 
  • Stay up to date on the latest developments in data science, HR analytics, and technology, and leverage this knowledge to drive innovation and continuous improvement in HR. 
  • Lead data science projects from conception to deployment, ensuring timely and successful completion. 
  • Mentor junior data analyst, providing guidance and expertise to enhance their skills and knowledge. 
  • Ensure data quality, accuracy, and completeness in all analyses and reports. 
  • Work with IT and HRIS teams to ensure seamless integration of analytics tools into HR systems.  
  • Work with IT and other stakeholders to ensure the security, privacy, and compliance of HR data and analytics.  

Qualifications/Requirements
  • Bachelor's degree in data science, statistics, computer science, or related field. Master's degree preferred.  
  • 3+ years of experience in data analysis, modeling, and visualization. Experience in HR analytics preferred.  
  • Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex business problems. 
  • Proficiency in statistical analysis and modeling techniques, such as regression analysis, machine learning, and data mining. 
  • Familiarity with SAP SuccessFactors or similar platforms. 
  • Expertise in data visualization, creation of creative presentations and reporting tools, such as Tableau or Power BI. 
  • Strong programming skills in languages such as Python 
  • Excellent communication skills, with the ability to clearly and persuasively communicate complex data insights to non-technical audiences.  
  • Ability to work independently and collaboratively, and to manage multiple projects and priorities simultaneously. 
  • Knowledge of HR policies, procedures, and practices, and their impact on business outcomes. 

Additional Information
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.
 

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As one of the largest employer associations in the nation, MRA helps its member organizations thrive by offering the most comprehensive assortment of HR services, information, education, and resources to help build successful workplaces and a powerful workforce.

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What You Should Know About Senior HR Analyst, MRA Recruiting Services

If you're someone who loves to dive deep into data and leverage insights to influence strategic decisions, then the Senior HR Analyst position at Komatsu in Milwaukee, WI, might be the perfect fit for you! In this hybrid role, you’ll have the opportunity to analyze large and complex datasets, collaborating with HR business partners, to drive data-informed improvements across various HR processes. Your main focus will be on creating predictive models to adapt to workforce needs and trends, enhancing the overall efficacy of our HR initiatives. Your expertise in applying machine learning techniques and statistical methods will be crucial as you tackle challenging HR issues. With the chance to develop visualizations and dashboards, you'll communicate vital insights that inform key business leaders. Plus, you’ll help mentor junior analysts, sharing your knowledge and driving the team towards excellence. This position is not eligible for remote work, so you’ll be closely engaged with your teammates in our vibrant Milwaukee office. If this sounds exciting to you, we encourage you to learn more about how you can contribute to a company that champions innovation and productivity across various industries, from construction to healthcare. Join Komatsu in making a difference in the HR analytics landscape!

Frequently Asked Questions (FAQs) for Senior HR Analyst Role at MRA Recruiting Services
What are the key responsibilities of a Senior HR Analyst at Komatsu?

As a Senior HR Analyst at Komatsu, you will analyze complex datasets to generate insights that inform HR strategies. Your responsibilities will include building predictive models for workforce planning, applying machine learning techniques to solve HR challenges, and developing visualizations to present data insights to leadership.

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What qualifications are required for the Senior HR Analyst position at Komatsu?

Komatsu requires a Bachelor's degree in data science or a related field, with a preference for a Master's degree. Candidates should have at least 3 years of experience in data analysis, modeling, and visualization, ideally in HR analytics, along with proficiency in programming languages like Python and familiarity with SAP SuccessFactors.

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Can the Senior HR Analyst position at Komatsu be performed remotely?

No, the Senior HR Analyst position at Komatsu is not eligible for remote work now or in the future. Candidates must be willing to work on-site in Milwaukee, WI, as part of a collaborative hybrid team.

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What skills are essential for success in the Senior HR Analyst role at Komatsu?

Success in the Senior HR Analyst role requires strong analytical and problem-solving skills, proficiency in statistical modeling techniques, and excellent communication abilities to convey data insights to non-technical stakeholders. Familiarity with data visualization tools like Tableau or Power BI is also beneficial.

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What is the work environment like for a Senior HR Analyst at Komatsu?

The work environment at Komatsu is collaborative and innovative, where teamwork and sharing insights are highly valued. As a Senior HR Analyst, you'll work closely with other HR professionals and stakeholders to drive HR initiatives forward, all while enjoying the supportive atmosphere of the Milwaukee office.

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Common Interview Questions for Senior HR Analyst
How do you approach data analysis in HR?

Discuss your methodology for gathering and analyzing HR data, including how you prioritize projects and ensure the insights align with business objectives. Showcase your analytical skills and how they translate into actionable HR strategies.

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Can you explain a predictive model you've created for HR purposes?

Provide a detailed example of a predictive model you've developed, discussing the data sources, techniques used (like regression or machine learning), and the impact it had on decision-making within HR.

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How do you ensure data accuracy and quality in your analyses?

Emphasize your attention to detail and the processes you follow to validate data quality. Mention any specific tools or techniques you use to maintain accuracy in your HR analytics.

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What is your experience with data visualization tools?

Discuss your proficiency with tools like Tableau or Power BI. Provide examples of how you've used these tools to create insights that have influenced HR decisions.

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How do you communicate complex data to non-technical stakeholders?

Share your strategy for breaking down complex analyses into understandable insights. Describe any specific techniques you use to ensure clarity and persuasiveness in your presentations.

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Explain a time when your data analysis significantly impacted an HR initiative.

Use a STAR (Situation, Task, Action, Result) approach to describe a specific instance where your insights led to a successful HR initiative, emphasizing your data-driven approach.

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What statistical techniques are you most comfortable with?

List the statistical techniques you have experience with, such as regression analysis or machine learning, and share examples of how you’ve applied them in HR analytics.

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How do you stay updated on trends in HR analytics?

Explain your methods for continual learning, such as attending conferences, participating in webinars, or following industry leaders, and how this knowledge benefits your work.

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What HR metrics do you believe are critical to monitor?

Discuss metrics such as employee turnover rates, workforce productivity, and engagement levels. Explain how these metrics inform strategic HR decisions.

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How do you handle conflicting data narratives?

Share your approach to critically analyzing data from different sources and how you reconcile discrepancies to derive reliable insights to present to stakeholders.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 4, 2025

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