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Tier-1 brand, popular mid-level data role, metro hiring, and broad skills increase competition.
Analytics, SQL and PySpark skills are readily transferable across industries.
Mandatory MSc, 5+ years, Databricks, PySpark and advanced SQL make filters stringent.
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Lead data analysis efforts by combining statistical expertise and business insight to generate actionable business and product insights.
Define, maintain metrics and dashboards, perform deep-dive analysis to uncover trends and proactively implement impactful data analyses.
Collaborate across cross-disciplinary teams and present insights to influence decision making; mentor junior analysts.
MSc in a quantitative field, preferably statistics.
Typically 5+ years of hands-on experience in data analytics, data mining, and product analytics in complex environments.
Advanced skills in SQL, Python scripting, Databricks (notebooks, Spark SQL, Python), and building/managing ETL/data pipelines.
Ability to travel up to 10%; role is not available for remote working; eligible for in-country relocation.
Experienced working in fast-paced, complex data environments with strong applied statistical and causal inference knowledge.
Capable of bridging business and digital teams by combining deep technical skills with business acumen to drive value delivery.
Comfortable influencing and communicating insights to senior management and mentoring others in analytics practices.