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Known analytics brand and broad ML/analytics role attracts competitive mid-senior applicants.
Analytics and ML skills are highly transferable across industries; domain knowledge is useful but not restrictive.
Requires demonstrable analytics/ML skills and tool proficiency without explicit years, so moderate shortlisting rigor.
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Apply AI, ML, data engineering, and advanced analytics to solve business problems across various industries (banking, insurance, healthcare, transport, retail, etc.)
Generate data-driven insights for functional areas like marketing, pricing, risk, and fraud, using tools such as SAS, SQL, R, Python, Tableau, Power BI
Contribute to innovative modeling methodologies, present results to clients, and own delivery of assigned analytics tasks
Proficiency in analytics tools: SAS, SQL, R, Python, Tableau, Power BI (online certification or knowledge preferred)
Strong analytical and quantitative skills with demonstrable academic performance
Work Experience Required: Not explicitly mentioned in the JD
Understanding of Agile or waterfall lifecycle and RPA platforms/workflow tools is preferred but not mandatory
Experience applying analytics within multiple industry verticals or complex domains
Ability to structure and solve complex business problems using analytics and coding tools
Effectively communicate technical insights to clients and work independently with minimal supervision