Senior HR Analyst

Komatsu America Corp.; Milwaukee (WI); On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Analyst to leverage data science in enhancing HR processes. This role involves building predictive models, analyzing complex datasets, and designing experiments to improve HR initiatives. The ideal candidate will have a strong background in data analysis, machine learning, and data visualization, along with excellent communication skills to convey insights effectively. Join a forward-thinking company that values innovation and continuous improvement in HR, where your contributions will directly impact workforce strategies and business outcomes.

Qualifications

• 3+ years of experience in data analysis and modeling, preferably in HR analytics.
• Strong programming skills in Python and proficiency in statistical techniques.

Responsibilities

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

Skills

Data Analysis

Machine Learning

Statistical Analysis

Data Visualization

Problem-Solving

Communication Skills

Education

Bachelor's degree in Data Science

Master's degree in Data Science

Tools

Tableau

Power BI

SAP SuccessFactors

Python

Job description

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 to clearly and persuasively convey complex data insights to non-technical audiences.
9. Ability to work independently and collaboratively, managing multiple projects simultaneously.
10. Knowledge of HR policies, procedures, and their impact on business outcomes.