Sr Data Analyst - HR Analytics

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 Sr. Data Analyst – HR Analytics is responsible for working with large and complex datasets to derive insights and recommendations that will inform strategic HR decisions via the enablement or deployment of predictive models. Collaborate with HR business partners, analysts, and other stakeholders to develop and implement data-driven solutions that improve the effectiveness of our HR programs and initiatives.

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.