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Tier-1 brand, generalist data role with mid experience, metro location and broad toolset increases applicant competition.
Core analytics skills transfer across industries, but financial-services domain experience increases fit sensitivity.
Explicit 5–8 year requirement and mandatory analytics/ML tools and methods create high filtering strictness.
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Work on multiple analytics projects across client lifecycle stages including acquisition, engagement, client experience, and retention within TTS business.
Leverage various data sources (structured, unstructured like call transcripts) and advanced analytical techniques including machine learning and NLP to generate actionable business insights.
Support functions such as Product, Pricing, Client Experience and Sales with data-driven strategies to optimize marketing, pricing, cross-sell and revenue growth.
Bachelor's degree with 5-8 years or Master's degree with 4-8 years or PhD in relevant domain with data analytics experience.
Must have marketing analytics experience focused on sales/marketing strategy, pricing optimization, client experience, cross-sell, retention.
Proficiency in Python/R, SQL, Hive, MS Excel, PowerPoint; hands-on experience with big data tools and predictive modeling.
Work Experience Required: 4-8 years in data analytics with relevant marketing/business focus.
Experienced in converting complex business problems into analytical frameworks and communicating insights clearly to stakeholders.
Strong technical skillset with proficiency in machine learning, NLP/text mining and data manipulation in big data environments.
Experience in financial services and familiarity with diverse, multi-source datasets relevant to client behavior and revenue analytics.