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 efficient and complex SQL queries for large datasets.
- Strong 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.

📌 Data Analytics( Python + SQL ) (Bengaluru)
🏢 HR India Solutions
📍 Bengaluru