Job Summary:
We are looking for an experienced Data Analyst with strong expertise in Python, PySpark, SQL, and Big Data technologies to analyze complex datasets, generate actionable insights, and enable data-driven business decisions.
Key Responsibilities:
- Analyze large and complex datasets using Python, PySpark, and SQL to identify trends, patterns, and business insights.
- Perform data cleaning, transformation, aggregation, and exploratory analysis.
- Build and maintain scalable data pipelines using Hadoop, Spark, and Big Data technologies.
- Develop Excel-based reports, visualizations, and analytical outputs for business stakeholders.
- Work with NoSQL databases such as MongoDB for large-scale data analysis.
- Collaborate with cross-functional teams to translate analytical findings into actionable business recommendations.
- Ensure data accuracy, quality, consistency, and reliability across analytical workflows.
Required Skills:
- 6 - 9 years of experience in Data Analytics, preferably in the Financial Services industry.
- Strong hands-on expertise in Python, PySpark, and SQL.
- Proficiency in Pandas, NumPy, and Matplotlib.
- Experience with Hadoop, Spark, Big Data, and MongoDB/NoSQL.
- Strong analytical, problem-solving, data interpretation, and stakeholder-management skills.
- Ability to convert complex data into meaningful business insights and recommendations.
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