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Mid-level generalist product/data analyst at a known brand in metro with broad skill requirements.
Core analytics skills transfer across industries, but product/commerce domain experience improves fit.
Requires 3+ years, specific SQL/BI/statistical skills, and reputed-institute education, narrowing candidate pool.
Own end-to-end data modeling and reporting infrastructure to support business process management.
Collaborate with business/product teams to enable data-driven decision making and translate complex data into actionable insights.
Drive adoption of innovative analytical methods to identify new business opportunities and solve complex problems.
Bachelor's in Engineering, Computer Science, Math, Statistics or an MBA from a reputed institute.
3+ years of relevant experience in data analysis or product analytics.
Proficient in SQL, Excel, and scripting languages like R or Python; experienced with BI tools such as Power BI or Superset.
Strong statistical modeling skills with hands-on experience using statistical tools (R, Python, Spark).
Experienced in breaking down complex fuzzy problems into manageable components with collaborative problem-solving.
Skilled at negotiating problem scopes based on business understanding and driving data-informed decisions.
Demonstrates ability to independently plan and execute analytical deliverables while managing multiple diverse requirements.