We are looking for an experienced Data Analyst with strong technical expertise and a solution-oriented mindset. The ideal candidate will leverage advanced skills in Python, PySpark, and SQL to manage and transform data, uncover insights, and support complex business use cases. Experience in the banking sector and knowledge of data governance principles will be a strong advantage.
Key Responsibilities:
Analyze and transform large datasets using PySpark and SQL to solve complex business problems.
Identify data anomalies and perform thorough data validation to ensure accuracy and quality.
Collaborate effectively with stakeholders, managing expectations and delivering data-driven solutions.
Take ownership of the end-to-end data development and deployment process.
Uphold data governance, quality, privacy, and control standards throughout the data lifecycle.
Technical Skills & Experience:
Minimum 5 years of professional experience in Python programming.
5-7 years of hands-on experience with PySpark for data management and transformation.
3-5 years of experience with SQL, including advanced query writing and optimization.
Familiarity with version control tools such as Git.
Strong understanding of data governance, data quality, controls, and privacy practices.
Preferred Skills:
Experience in the
banking or financial services domain.
Knowledge of data pipeline building and workflow orchestration (e.g., Prophecy).
Ability to model data and design scalable data architectures.
Proven stakeholder management and communication skills.
If you’re passionate about data, enjoy tackling complex challenges, and want to make an impact in a dynamic environment, we’d love to hear from you!
Kindly apply on this given link,
Data Analyst – Fill out form
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