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Job Description
- Work closely with marketing, product, and business stakeholders to translate business problems into analytical frameworks and solutions
- Perform end-to-end analytics lifecycle ownership:
- Analysis & modeling
- 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
- 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
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