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Known employer, popular generalist analytics role, metro location, broad toolset increases candidate competition.
Data skills are transferable but insurance lifecycle knowledge increases medium industry specificity.
Specific tools (Tableau, Alteryx, SQL, PySpark) and insurance familiarity create moderate filtering without explicit years.
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Own the delivery of accurate and timely data analytics and reporting results, ensuring thoroughness and attention to detail.
Collaborate across global teams to design, test, and implement data solutions with a focus on improving operational efficiency and data quality.
Leverage expertise in data visualization (e.g., Tableau), data manipulation (e.g., Alteryx, SQL), and analytics to generate actionable business insights within the insurance domain.
Experience Required: Extensive experience in data analytics, reporting, and visualization using Tableau, Alteryx, and SQL.
Proficiency in Python and PySpark at an intermediate level.
Understanding of U.S. insurance lifecycle and business processes.
Work Location: Chennai or Gurgaon; remote locations not mentioned as acceptable.
Experienced in cross-functional and geographically distributed team collaboration with strong communication skills.
Demonstrated ability to independently innovate while contributing to team goals, focusing on operational improvements and solution design.
Familiarity with Generative AI concepts and tools considered an advantage, indicating openness to emerging technologies in analytics.