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High due to Tier-1 brand, mid-level generalist title, 5+ years experience and Bengaluru metro location.
Medium—skills are transferable across industries, though financial and digital-marketing experience is preferred.
High—explicit 5+ years plus mandatory Python/PySpark, SQL, Hadoop and predictive modeling requirements.
Work with large and complex data sets to evaluate, recommend, and support business strategies in digital marketing and related domains.
Document data requirements, perform data collection/processing/cleaning, exploratory data analysis, and apply statistical models and predictive machine learning techniques.
Use tools like Python, PySpark, SQL, and big data environments (e.g., Hadoop) to analyze data and improve business outcomes.
5+ years of relevant experience, preferably in financial or digital marketing domains.
Bachelor's degree or equivalent experience required.
Proficiency in Python, PySpark, SQL, and hands-on experience with big data platforms such as Hadoop.
Experience with statistical techniques and predictive modeling using machine learning algorithms like Decision Tree and Logistic Regression.
Experienced analytics professional capable of independently handling complex problems and deriving actionable insights from large, diverse data sets.
Strong quantitative and problem solving skills with a specialization in digital marketing, risk, or financial domains preferred.
Comfortable working in matrix environments with cross-functional teams and capable of communicating complex data analyses effectively.