Data Analyst

• 5+ years of experience as a Data Analyst, Business Data Analyst, or similar role.
• Strong proficiency in SQL, including complex joins, CTEs, subqueries, window functions, and performance optimization.
• Strong experience with Python, particularly Pandas and NumPy, for data analysis.
• Experience with Tableau, Power BI, or similar visualization tools.
• Strong understanding of data warehousing concepts, relational databases, and data modeling.
• Experience working with large datasets and multiple data sources.
• Strong knowledge of data quality, data validation, reconciliation, and profiling.
• Ability to translate business requirements into technical/data requirements.
• Excellent analytical, problem-solving, and communication skills.
• Experience working in Agile/Scrum environments.

Preferred Skills

• Experience in the banking or financial services domain.
• Knowledge of banking products such as deposits, loans, payments, cards, mortgages, or wealth management.
• Experience with AWS, Azure, Databricks, Snowflake, or Hadoop.
• Familiarity with ETL/ELT processes and data pipeline concepts.
• Experience with Alteryx, SAS, or Informatica.
• Knowledge of data governance, data lineage, and regulatory reporting.
• Experience working with cloud-based data platforms.
• Familiarity with Jira and Confluence.

Education

Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Statistics, Mathematics, Business Analytics, or a related field.