Job Description
Core Responsibilities
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Collects and compiles HR metrics and data from a variety of sources including the human resource information system (HRIS) and payroll outputs, management and employee surveys, exit interviews, employment records, competitor's practices, and other sources.
• Analyses data and statistics for trends and patterns with attention to recruitment, hiring practices, motivation, turnover, and compliance with employment laws and regulations.
• Prepares reports of data results, presenting and explaining findings to senior leadership.
• Identifies and recommends reasonable short and long-term goals, milestones, and benchmarks for key performance metrics.
• Based on metrics and analysis, makes recommendations for policies and activities to improve the organizational culture including suggestions to attract and hire qualified candidates, to motivate and retain employees, to address staffing issues and to maintain legal compliance.
• Design and publish reports and insights that analyse business functions and key operations and performance metrics.
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
• Communicate results and business impacts of insight initiatives to stakeholders.
Skill Sets
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.
• Experience working with and creating databases and dashboards using all relevant data to inform decisions.
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
• Strong problem solving, quantitative and analytical abilities.
• Takes complete accountability & ownership
• Strong ability to plan and manage numerous processes, people and projects simultaneously.
• Excellent communication, collaboration and delegation skills.
• At least 5 years of experience in a position monitoring, managing, manipulating and drawing insights from data and with at least 3 years of experience leading a team.
Proficient And Experienced With The Following Tools/programs
• Experience with data visualization tools: Tableau, Raw, chart.js, etc.
• Experience with Adobe Analytics and other analytics tools
• Experience with Power BI, Excel, Word, and PowerPoint.
(ref:iimjobs.com
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Collects and compiles HR metrics and data from a variety of sources including the human resource information system (HRIS) and payroll outputs, management and employee surveys, exit interviews, employment records, competitor's practices, and other sources.
• Analyses data and statistics for trends and patterns with attention to recruitment, hiring practices, motivation, turnover, and compliance with employment laws and regulations.
• Prepares reports of data results, presenting and explaining findings to senior leadership.
• Identifies and recommends reasonable short and long-term goals, milestones, and benchmarks for key performance metrics.
• Based on metrics and analysis, makes recommendations for policies and activities to improve the organizational culture including suggestions to attract and hire qualified candidates, to motivate and retain employees, to address staffing issues and to maintain legal compliance.
• Design and publish reports and insights that analyse business functions and key operations and performance metrics.
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
• Communicate results and business impacts of insight initiatives to stakeholders.
Skill Sets
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.
• Experience working with and creating databases and dashboards using all relevant data to inform decisions.
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
• Strong problem solving, quantitative and analytical abilities.
• Takes complete accountability & ownership
• Strong ability to plan and manage numerous processes, people and projects simultaneously.
• Excellent communication, collaboration and delegation skills.
• At least 5 years of experience in a position monitoring, managing, manipulating and drawing insights from data and with at least 3 years of experience leading a team.
Proficient And Experienced With The Following Tools/programs
• Experience with data visualization tools: Tableau, Raw, chart.js, etc.
• Experience with Adobe Analytics and other analytics tools
• Experience with Power BI, Excel, Word, and PowerPoint.
(ref:iimjobs.com
💡 Quick Summary
Seeking a career-building opportunity? The Croma | Manager | HR Analytics position is now open for candidates interested in the Human Resource (HR) Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Human Resource (HR) Jobs is a plus.
