Senior HR Analyst

Komatsu Brasil International; Milwaukee (WI); On-site; USD 76,000 - 96,000; Full time

Job summary

Join a forward-thinking company as a Senior HR Analyst, where you will leverage your expertise in data analysis and predictive modeling to drive strategic HR decisions. This role offers the chance to work with complex datasets, collaborate with diverse stakeholders, and develop innovative solutions that enhance HR programs. You will be at the forefront of applying machine learning techniques and statistical analysis to solve real-world HR challenges. If you're passionate about data and want to make a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 3+ years of experience in data analysis and HR analytics preferred.
• Strong analytical skills with proficiency in statistical modeling techniques.

Responsibilities

• Collaborate with HR partners to identify data-driven improvements.
• Build predictive models for HR functions like workforce planning.

Skills

Data Analysis

Predictive Modeling

Machine Learning

Statistical Analysis

Problem Solving

Communication Skills

Education

Bachelor's in Data Science

Master's in Data Science

Tools

SAP SuccessFactors

Tableau

Power BI

Python

Job description

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Job Overview

We have an exciting opportunity for a Senior HR Analyst to join our team. This role can be based at our corporate office in Chicago, IL (near O'Hare) or 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 Chicago or Milwaukee area is not available.

Key Job Responsibilities

1. Collaborate with HR business partners, analysts, and other stakeholders to identify opportunities for data-driven improvements in HR processes and programs.
2. 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.
3. Apply machine learning and advanced statistical techniques to solve complex HR challenges.
4. Analyze large, complex datasets related to HR, such as employee demographics, performance, compensation, and engagement data.
5. Develop predictive models to identify trends and patterns, forecast outcomes, and inform HR decisions.
6. Design and implement experiments to test the effectiveness of HR initiatives and programs.
7. Create data visualizations and dashboards to communicate insights and recommendations to HR and business leaders.
8. 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.
9. Lead data science projects from conception to deployment, ensuring timely and successful completion.
10. Mentor junior data analysts, providing guidance and expertise to enhance their skills and knowledge.
11. Ensure data quality, accuracy, and completeness in all analyses and reports.
12. Work with IT and HRIS teams to ensure seamless integration of analytics tools into HR systems.
13. Work with IT and other stakeholders to ensure the security, privacy, and compliance of HR data and analytics.

Qualifications/Requirements

1. Bachelor's degree in data science, statistics, computer science, or related field. Master's degree preferred.
2. 3+ years of experience in data analysis, modeling, and visualization. Experience in HR analytics preferred.
3. Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex business problems.
4. Proficiency in statistical analysis and modeling techniques, such as regression analysis, machine learning, and data mining.
5. Familiarity with SAP SuccessFactors or similar platforms.
6. Expertise in data visualization, creation of reports and dashboards using tools like Tableau or Power BI.
7. Strong programming skills in languages such as Python.
8. Excellent communication skills, with the ability to clearly and persuasively communicate complex data insights to non-technical audiences.
9. Ability to work independently and collaboratively, managing multiple projects and priorities.
10. Knowledge of HR policies, procedures, and practices, and their impact on business outcomes.

Additional Information

At Komatsu, your base pay is part of your total compensation package. This role pays $76,600-$95,700. The actual offer will consider experience and location.

Diversity & Inclusion Commitment

We are committed to creating a diverse workforce that reflects the communities we serve. We value authenticity, ambition, and innovation in our pursuit of Diversity & Inclusion. Join us in shaping a sustainable future.

Company Information

Komatsu is a global leader in manufacturing heavy equipment, founded in 1921, headquartered in Tokyo, Japan, with operations in over 140 countries. We offer a challenging environment where you can grow your skills and contribute to a sustainable future.

EEO Statement

Komatsu is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.