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Job Description
Key Responsibilities
Work closely with marketing, product, and business stakeholders to translate business problems into analytical frameworks and solutions Perform end-to-end analytics lifecycle ownership: Problem definition Data extraction & transformation Analysis & modeling Insight generation & presentation Use SQL (mandatory) to extract, manipulate, and analyze large-scale datasets Build and maintain interactive dashboards (Tableau or similar BI tools – mandatory) for campaign tracking, performance monitoring, and MIS reporting Analyze campaign performance across acquisition, engagement, and retention funnels and recommend optimization strategies Support customer segmentation, targeting, personalization, and churn analysis initiatives Develop and track key marketing KPIs such as conversion, retention, churn, CLTV, and ROI Collaborate with cross-functional teams to ensure insights are translated into business actions and measurable impact
Required Skills & Experience
1–2 years of experience in analytics / data science / customer and product analytics. SQL – Mandatory (strong proficiency expected) Experience working in cross-functional environments with stakeholders Exposure to analytics use cases (campaigns, segmentation, retention, CLTV); experience in financial services / fintech / lending domain is a plus Dashboarding / 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 interpretation Experience working with large datasets (structured/unstructured) and building automated reporting pipelines is preferred
About bluCognition
bluCognition
blucognition.com
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