The Data Analyst \u2013 Product & Credit reports to the Senior Data Analyst and works daily across both the product and credit\/risk teams. You will partner closely with the Analytics Engineering Lead on technical foundations while owning the analytical insight layer that informs strategy on both sides of the business.
\n\tThe role has two primary modes of work:
\n\tEnablement: building self-service BI tools, dashboards, and automated reporting so that product, commercial, and credit stakeholders have immediate access to performance data without analyst bottlenecks.
\n\tDeep analysis: owning the causal and attribution investigations that correlate complex variables \u2014 funnel behaviour, promo cycles, device performance, payment patterns \u2014 to explain the true drivers of business outcomes.
\n\tThis is a solo contributor role. You will not have direct reports, but you will be the analytical partner the product and credit teams rely on daily. You are expected to work with high autonomy, build from ambiguity, and communicate findings to non-technical stakeholders clearly.<\/p>\n
Key Responsibilities<\/p>\n
Product Analytics<\/p>\n
\tDesign and maintain dashboards covering acquisition funnels, conversion rates, channel performance, and customer segmentation across online and retail.
\n\tAnalyse the impact of promotional campaigns, pricing changes, and device mix decisions on conversion, revenue, and customer lifetime value.
\n\tPartner with commercial and marketing stakeholders to design experiments (A\/B tests, holdout groups) and deliver attribution analysis that separates signal from noise.
\n\tIdentify behavioural patterns in the customer journey that inform product development, UX decisions, and go-to-market strategy.<\/p>\n
Credit and Portfolio Analytics<\/p>\n
\tBuild and maintain self-service dashboards for portfolio health, delinquency trends, collections performance, and risk segmentation.
\n\tConduct causal investigations correlating device performance, customer demographics, promotional history, and payment behaviour to identify true default drivers.
\n\tSupport underwriting optimisation through data-driven analysis of approval criteria, score thresholds, and policy change outcomes.
\n\tTranslate credit performance data into clear, actionable recommendations for the credit and risk leadership team.<\/p>\n
BI Infrastructure and Data Quality<\/p>\n
\tDesign and automate data pipelines that transform raw credit bureau data, payment histories, and operational systems into reliable, production-grade datasets.
\n\tPartner with the Analytics Engineering Lead to establish data quality standards, documentation practices, and analytical frameworks that enable progressive data autonomy across teams.
\n\tReduce dependency on ad-hoc analyst requests by building repeatable, self-service data products.<\/p>\n
What We Are Looking For<\/p>\n
Required<\/p>\n
\t3\u20135 years of experience in an analytics or BI role, with a track record of building self-service dashboards and automated reporting that reduce ad-hoc analyst dependency.
\n\tAdvanced SQL and data transformation expertise: dimensional modelling, ETL\/ELT pipelines, and production-grade dataset design.
\n\tSolid grounding in statistical methods: A\/B test design, regression analysis, and the ability to distinguish correlation from causation in messy business data.
\n\tDemonstrated ability to communicate analytical findings to non-technical stakeholders in writing and in person.<\/p>\n
Apply Through:<\/p>\n
es.talentlyft.com<\/p>\n","protected":false},"author":2,"featured_media":0,"template":"","meta":{"_promoted":"","_job_location":"","_application":"http:\/\/es.talentlyft.com","_company_name":"MoPhones","_company_website":"http:\/\/N%20\/%20A","_company_tagline":"We are a young company on a mission to provide high-quality renewed devices for all Kenyans. Through our marketplace we offer trust and transparency so that our users can choose for renewed products with confidence and ease. Our integrated financing solutions make them affordable for any budget. Onc... read moree we have scaled up in Kenya we plan to expand to other markets across Africa. Our team is multinational and distributed but we share the same DNA and mission.","_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":[711,693,720,719,700],"job-types":[687],"class_list":{"0":"post-94226","1":"job_listing","2":"type-job_listing","3":"status-publish","4":"hentry","5":"job_listing_region-nairobi","7":"job-type-full-time"},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings\/94226","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=94226"}],"wp:term":[{"taxonomy":"job_listing_region","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job_listing_region?post=94226"},{"taxonomy":"job_listing_category","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-categories?post=94226"},{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-types?post=94226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}