Responsibilities:

Business Intelligence

• Support The Business Intelligence Needs Of Specific Management, Governance Processes, Or Operational Areas.
  
• Investigate The Need For Business Intelligence Reporting And Analysis Where There Is Some Complexity And Ambiguity.
  
• Apply Non-standard Business Intelligence Tools And Techniques Proficiently To Provide Insights And Aid Decision-making.
  
• Independently Select, Acquire, And Integrate Data For Analysis, Ensuring Data Quality And Relevance.
  

Data Modelling And Design

• Utilize Standard Data Modelling And Design Techniques To Address Moderate Complexity Requirements.
  
• Establish, Modify, And Maintain Data Structures And Associated Components.
  
• Communicate Details Of Data Structures And Associated Components Effectively To Stakeholders.
  

Data Visualization

• Independently Design And Create Various Types Of Data Visuals Using Visualization Products.
  
• Select Appropriate Visualization Techniques From A Range Of Options For Diverse Data Sets.
  
• Engage Extensively With Target Users To Prototype And Refine Specified Visualizations.
  

Measurement And Reporting

• Contribute To The Identification And Prioritization Of Measures, Scales, And Targets For Projects, Functions, Or Teams.
  
• Support The Development Of Measurement Methods And Assist In Specifying BASE And Derived Measures To Meet Agreed Information Needs.
  
• Collaborate With Teams To Design Reports And Reporting Formats, Ensuring Clarity And Relevance.
  

Data Science

• Apply Established Data Science Techniques To Solve Problems And Analyze Datasets, Utilizing Programming Skills Effectively.
  
• Participate In Evaluating The Outcomes And Performance Of Data Science Models, Providing Input On Improvements.
  
• Support The Training And Enhancement Of Models And The Data They Utilize, Under Supervision.
  

Workforce Planning

• Gather, Maintain, And Analyze Workforce Capability Data To Support Workforce Planning Initiatives.
  
• Conduct Detailed Gap Analysis To Identify Discrepancies Between Existing Workforce Capabilities And Future Business Needs.
  

Stakeholder Engagement And Decision Support

• Engage With Talent And Business Teams To Present Data Insights And Ensure Alignment Of Analytics With Stakeholder Needs.
  
• Independently Apply Data Insights To Recommend Improvements To Talent Processes And Workforce Management Strategies.
  
• Demonstrate An Understanding Of How People Analytics Supports Broader Business Objectives, Contributing To Talent Initiatives That Drive Performance.
  

RequirementsMust-have Skills (Required)

• Talent Metrics And Kpis: Able To Monitor And Report On A Broad Set Of Talent Kpis, Offering Insights And Recommendations To Improve Talent Outcomes.
  
• Technical Proficiency In Data Tools: Proficient In Advanced Data Tools And Platforms, Such As Power Bi Or Tableau, Using Them To Generate Deeper Insights And Automate Reporting Processes.
  
• Research Skills: Able To Conduct Research Using Established Methods And Procedures, Formulate Hypotheses, And Make Informed Interpretations Of Findings.
  
• Analytical Skills: Able To Analyze Data To Identify Trends, Correlations, And Outliers, Applying Statistical Methods To Solve Moderately Complex Problems.
  
• User Research: Able To Independently Conduct User Research Activities Under Guidance, Collecting And Analyzing Data Using Established Methodologies.
  
• Decision-making: Uses Substantial Discretion In Identifying And Responding To Complex Issues, Escalating When Appropriate.
  
• Planning: Able To Plan, Schedule, And Monitor Work To Meet Objectives, Processes, Time, And Quality Targets.
  

Academic And Professional Requirements

• Bachelor's Degree In People Analytics, Data Science, Statistics, HR, Or A Related Field, Or Equivalent Practical Experience.
  
• 5–7 Years Of Experience In People Analytics, HR Data Analysis, Or A Related Analytical Role.