Data Analytics Python + Sql Bengaluru

This role is ideal for someone with robust expertise in SQL, Python, Hadoop/Oracle and Pyspark, and a solid background in data analysis and wrangling. You will play a key role in building and maintaining analytical solutions that drive insights, especially in the area of fraud detection within card transactions and account opening domains. Key Responsibilities: Develop, maintain, and optimize complex SQL queries to support data extraction and transformation activities. Utilize Python for advanced data processing, automation, and analytical modeling. Build and maintain Tableau dashboards that provide actionable insights to stakeholders. Perform data wrangling and cleansing from various sources to prepare data for analysis. Conduct detailed data analysis to uncover trends, patterns, and potential fraudulent activity. Collaborate with fraud analytics and operations teams to develop and enhance fraud detection frameworks. Document data processes and maintain data integrity across workflows. Contribute to continuous improvement in data pipelines, tools, and reporting mechanisms. Required Skills and Qualifications: Proven experience in writing effective and complex SQL queries for large datasets. Solid programming skills in Python, with knowledge of data libraries such as Pandas, NumPy, etc. Hands-on experience building visualizations and dashboards using Tableau. Experience with data wrangling, cleaning, and transformation techniques. Solid understanding of data analysis methodologies and problem-solving using data. Excellent communication skills and ability to present technical findings to non-technical stakeholders. Attention to detail and commitment to delivering high-quality work.