People Analytics Principal
AI summary
CloudFactory is hiring a People Analytics Principal in Nairobi to lead complex people analytics work spanning data modelling, visualization, workforce planning, and data science. The role engages senior talent and business stakeholders to translate data into recommendations that shape talent and organizational strategy. This is a full-time, hybrid opportunity within a mission-driven, fast-scaling organization.
- Senior-level people analytics role with strategic influence on talent decisions
- Full-time, hybrid position based in Nairobi
- Covers data modelling, visualization, workforce planning, and data science
- Requires 5–7 years of experience and a BA/BSc/HND
- Focus on Power BI/Tableau, talent metrics, KPIs, and research skills
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in factory, People Analytics, HR AnalyticsThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest People Analytics Principal evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to CloudFactory and the role in Not specified.
- Add concrete examples related to factory, People Analytics, HR Analytics, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from MyJobMag Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- MyJobMag Kenya
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this People Analytics Principal role in factory, People Analytics?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research CloudFactory before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
- Never pay for any notarisation, certificate or assessment as part of any recruitment process. When in doubt,
- contact us
- CloudFactory is changing the way the world works by providing an on-demand, digital workforce for scaling critical business processes in the cloud.
- We’re also on a mission to create meaningful work for as many people as possible.
- Read more about this company
- People Analytics Principal
- Job Type
- Full Time
- ,
- Hybrid
- Qualification
- BA/BSc/HND
Experience
5 - 7 years
Location
Nairobi
Job Field
Data, Business Analysis and AI
,
ICT / Computer
Role Summary
As A People Analytics Principal, You Will Independently Lead Complex People Analytics Work, From Data Modelling And Visualization To Workforce Planning And Data Science, Providing Insights That Directly Influence Talent And Organizational Strategy. You Will Engage Senior Talent And Business Stakeholders, Translating Data Into Clear Recommendations That Improve Talent Outcomes And Workforce Decisions. This Is A Great Opportunity To Deepen Your People Analytics Expertise Within A Mission-driven, Fast-scaling Organization.
In People Analytics, HR Data Analysis, Or A Related Analytical Role.
Nice-to-have Skills (Preferred)
With Hris Or Workforce Planning Systems.
Exposure To Data Science Techniques And Model Evaluation.
Presenting Insights To Senior Stakeholders.
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Method of Application
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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.
Requirements
- Must-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
- Bachelor's Degree In People Analytics, Data Science, Statistics, HR, Or A Related Field, Or Equivalent Practical Experience.
- 5–7 Years Of