Pyspark Data Analyst
Citi (company site, opens in a new tab)5–8 yrsPuneHybridDirect career pageEst. 12–24 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Gather and analyze operational data from multiple stakeholders to examine past business performance and identify meaningful patterns and trends.
- Provide actionable insights to enhance business decision-making in areas like planning, process improvement, and strategy formulation.
- Build, implement, track, and improve decision strategies while continuously improving processes by exploring new data sources and tools.
Minimum Requirements
- Bachelor’s Degree with 5-8 years, Master’s Degree with 4-8 years, or PhD in data analytics or related field.
- Proficient in Python and SQL; experience with PySpark, Hive, and Tableau is mandatory.
- Experience in advanced analytical methods such as hypothesis testing, segmentation, time series forecasting, predictive modeling using Machine Learning, and NLP/text mining for unstructured data.
- Work Experience Required: 4-8 years in data analytics depending on degree; notice period not explicitly mentioned.
Ideal Candidate Profile
- Experienced in converting complex business problems into analytical models and actionable insights in a structured manner.
- Comfortable working hands-on with large datasets across multiple platforms and data complexities, particularly in big data environments.
- Skilled communicator with the ability to present complex analyses clearly and mentor junior team members.