Role Summary<\/p>\n
\tAs a Senior Data Analyst, you will independently deliver structured analytical interpretation across client workstreams and selected enterprise priorities within Enterprise QSE. You will work closely with stakeholders across Quality, Delivery, Workforce, Finance, Technology, and related functions to apply statistical reasoning, hypothesis-driven analysis, and practical analytical techniques to identify performance risk, explain operational instability, and strengthen decision-making. This role is well suited to someone who can operate confidently in ambiguous environments, move beyond reporting into diagnosis and insight generation, work effectively in spreadsheet-heavy operating contexts, and contribute to stronger analytical discipline across the function.<\/p>\n
Responsibilities<\/p>\n
Advanced Performance Analysis<\/p>\n
\tConduct multi-dimensional analysis across accuracy, throughput, SLA adherence, workforce trends, queue performance, and financial or service-risk indicators.
\n\tDistinguish natural performance variation from meaningful deviation using structured analytical methods.
\n\tIdentify likely drivers behind quality dips, adjustment spikes, instability patterns, and workstream deterioration.
\n\tUse segmentation to isolate patterns across worker groups, task types, shifts, workflows, or use cases.
\n\tProvide clear analytical summaries and practical recommendations to Quality and Delivery leadership.<\/p>\n
Statistical Analysis & Performance Risk Interpretation<\/p>\n
\tApply practical statistical methods to test hypotheses, compare performance segments, and assess whether observed patterns are meaningful.
\n\tUse sound reasoning around variance, distributions, trend interpretation, and sampling when analyzing operational data.
\n\tSupport structured intervention analysis where process or workflow changes need to be evaluated.
\n\tTranslate statistical findings into practical implications for operational stakeholders.<\/p>\n
Sampling Design & Measurement Integrity<\/p>\n
\tDesign and refine sampling approaches for system accuracy measurement, performance validation, and targeted investigations.
\n\tEnsure sampling methods are representative, consistent, and aligned to the analytical purpose.
\n\tValidate accuracy calculations, sample assumptions, and interpretation logic used in reporting and governance.
\n\tStrengthen confidence in accuracy measurement practices across workstreams.<\/p>\n
Workstream Performance Signals<\/p>\n
\tContribute to the definition and refinement of leading and lagging indicators at workstream level.
\n\tIdentify early signs of SLA instability, quality deterioration, throughput stress, rework patterns, or mismatch between internal metrics and client-observed outcomes.
\n\tImprove the usefulness of internal performance measures in reflecting actual service experience.
\n\tContribute analytical support to at-risk workstream monitoring and related risk reviews.<\/p>\n
Reporting Logic & Data Reliability<\/p>\n
\tBuild, validate, and improve dashboards, analytical views, and metric logic across workstreams.
\n\tUse strong SQL and practical Python or R skills to extract, join, validate, and analyze raw operational data.
\n\tBuild and maintain advanced spreadsheet-based analytical models, formulas, validation logic, and lightweight scripts where reporting, control, or investigation workflows still rely on Google Sheets or Excel.
\n\tIdentify structural data gaps, inconsistent metric definitions, and reporting weaknesses that reduce trust in outputs.
\n\tPartner with relevant teams to improve data quality, reporting consistency, and calculation clarity.<\/p>\n
Cross-Functional Analytical Partnership<\/p>\n
\tPartner with Quality, Delivery, Workforce, Finance, and Technology stakeholders on complex performance-related analysis.
\n\tTranslate analytical findings into clear, actionable recommendations for business and operational leaders.
\n\tSupport enterprise initiatives such as RCA improvement, workflow redesign, incident analysis, and automation-related performance review through structured analysis.
\n\tOperate effectively in ambiguous environments where data quality, definitions, or system logic may still be evolving.<\/p>\n
Capability Support & Analytical Discipline<\/p>\n
\tProvide review support, practical guidance, and analytical quality checks for junior analysts where needed.
\n\tHelp strengthen consistency in documentation, metric interpretation, and reporting logic across the team.
\n\tApply structured problem-solving methods, including DMAIC where relevant, to improve analytical repeatability and quality.
\n\tContribute to stronger statistical literacy and analytical consistency within Enterprise QSE through coaching, examples, and review feedback.<\/p>\n
Requirements<\/p>\n
Must-Have<\/p>\n
\t4\u20135 years of relevant experience in data analytics, business intelligence, performance analytics, or a related analytical role, ideally within operational, service, or production environments.
\n\tStrong SQL skills, including joins, aggregations, trend analysis, and analytical querying.
\n\tHands-on experience using Python or R for data analysis, investigation, and manipulation.
\n\tStrong spreadsheet capability, including advanced formulas, nested logic, lookup and array functions, cross-sheet modeling, validation controls, and lightweight scripting or automation in Google Sheets or Excel.
\n\tSolid understanding of variance, distributions, sampling, and practical statistical interpretation.
\n\tAbility to structure ambiguous operational problems into hypotheses, analysis paths, and recommendations.
\n\tAbility to interpret leading and lagging indicators in operational performance environments.
\n\tAbility to explain complex analysis clearly to non-technical stakeholders.
\n\tConfidence working independently in evolving, ambiguous, and data-maturing environments.<\/p>\n
Nice to Have \/ Preferred<\/p>\n
\tExperience designing or improving sampling and accuracy measurement approaches.
\n\tExposure to intervention analysis, forecasting, or performance risk monitoring.
\n\tFamiliarity with BI tools such as Looker, Tableau, or Power BI.
\n\tExperience improving dashboard logic, reporting standards, or metric governance.
\n\tLean Six Sigma Yellow Belt or Green Belt, or familiarity with structured problem-solving methods.
\n\tRelevant certifications such as Microsoft Data Analyst Associate (PL-300), advanced SQL certification, or statistical analysis coursework\/certification.<\/p>\n
Apply Through:<\/p>\n
apply.workable.com<\/p>\n","protected":false},"author":2,"featured_media":0,"template":"","meta":{"_promoted":"","_job_location":"","_application":"http:\/\/apply.workable.com","_company_name":"CloudFactory","_company_website":"https:\/\/www.cloudfactory.com\/","_company_tagline":"CloudFactory is changing the way the world works by providing an on-demand, digital workforce for scaling critical business processes in the cloud. We\u2019re also on a mission to create meaningful work for as many people as possible.","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":""},"job_listing_region":[692],"job-categories":[802,693,720,719,700],"job-types":[1166],"class_list":{"0":"post-94494","1":"job_listing","2":"type-job_listing","3":"status-publish","4":"hentry","5":"job_listing_region-nairobi","7":"job-type-full-time-hybrid"},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings\/94494","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/users\/2"}],"wp:attachment":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/media?parent=94494"}],"wp:term":[{"taxonomy":"job_listing_region","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job_listing_region?post=94494"},{"taxonomy":"job_listing_category","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-categories?post=94494"},{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-types?post=94494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}