Data Analyst 2 (Talent Acquisition & HR)
About the position
Responsibilities
• Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarks.
• Performing descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
• Creating and maintaining dashboards, reports, and visualizations to communicate insights and recommendations to HR and business stakeholders.
• Identifying and monitoring key HR metrics and trends, such as turnover, retention, productivity, engagement, diversity, etc.
• Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretation.
• Collaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiatives.
• Ensuring data quality, accuracy, and compliance with data governance and privacy standards.
Requirements
• A bachelor's degree or higher in human resources, statistics, data science, business, or equivalent related experience.
• 2-4 years data analyst experience in working with HR and/or business data and applying analytical techniques and methods.
• Proficiency in statistics, data analysis, and research methods.
• Knowledge of various HR functions, processes, and systems, such as recruitment, performance, engagement, diversity, compensation, etc.
• Proficiency in using various data analysis and visualization tools and software, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
Apply Now
Apply Now
Responsibilities
• Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarks.
• Performing descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
• Creating and maintaining dashboards, reports, and visualizations to communicate insights and recommendations to HR and business stakeholders.
• Identifying and monitoring key HR metrics and trends, such as turnover, retention, productivity, engagement, diversity, etc.
• Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretation.
• Collaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiatives.
• Ensuring data quality, accuracy, and compliance with data governance and privacy standards.
Requirements
• A bachelor's degree or higher in human resources, statistics, data science, business, or equivalent related experience.
• 2-4 years data analyst experience in working with HR and/or business data and applying analytical techniques and methods.
• Proficiency in statistics, data analysis, and research methods.
• Knowledge of various HR functions, processes, and systems, such as recruitment, performance, engagement, diversity, compensation, etc.
• Proficiency in using various data analysis and visualization tools and software, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
Apply Now
Apply Now