Job Title

Key ResponsibilitiesWork closely with marketing, product, and business stakeholders to translate business problems into analytical frameworks and solutions Perform end-to-end analytics lifecycle ownership:Problem definitionData extraction & transformationAnalysis & modelingInsight generation & presentationUse SQL (mandatory) to extract, manipulate, and analyze large-scale datasetsBuild and maintain interactive dashboards (Tableau or similar BI tools – mandatory) for campaign tracking, performance monitoring, and MIS reportingAnalyze campaign performance across acquisition, engagement, and retention funnels and recommend optimization strategiesSupport customer segmentation, targeting, personalization, and churn analysis initiativesDevelop and track key marketing KPIs such as conversion, retention, churn, CLTV, and ROICollaborate with cross-functional teams to ensure insights are translated into business actions and measurable impactRequired Skills & Experience1–2 years of experience in analytics / data science / customer and product analytics.SQL – Mandatory (strong proficiency expected)Experience working in cross-functional environments with stakeholdersExposure to analytics use cases (campaigns, segmentation, retention, CLTV); experience in financial services / fintech / lending domain is a plusDashboarding / BI Tools – Mandatory (Tableau preferred)Python – Working knowledge (pandas, numpy; exposure to modeling preferred)Strong analytical thinking with understanding of statistics, A/B testing, and data interpretationExperience working with large datasets (structured/unstructured) and building automated reporting pipelines is preferred