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Tier-1 brand, metro location, popular analytics role, broad skill requirements increase candidate competition.
Analytics skills like SQL, Python, BI are highly transferable across industries.
Requires specific analytics tools and a minimum year of experience, but not senior—moderate filtering.
Own analysis and problem-solving across large, complex data sets to support business decisions.
Monitor, forecast, and review key performance metrics to measure business progress and impact.
Design and execute experiments, generate insights through automation/self-serve platforms, and communicate findings aligned with strategic goals.
Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or related quantitative field.
Minimum 1 year of core analytics experience in analytics, data science, or related roles.
Hands-on experience with data manipulation tools such as SQL, R, Python, Excel and BI platforms like Power BI or Tableau.
Knowledge of basic statistical measurement frameworks and foundational machine learning techniques like regression and classification.
Experienced in applying advanced analytical methods and designing business experiments to derive actionable insights.
Comfortable working cross-functionally with business, product, and data engineering teams to improve data accuracy and instrumentation quality.
Capable of independently managing unstructured work environments and translating data insights into compelling business stories aligned with organizational strategy.