Data Analyst

Data Analyst: Experience: 7 - 11 years (but need expert Engineers):

· Strong hands-on experience with Databricks for data analysis, exploration, validation, and troubleshooting.

· Advanced SQL querying and scripting skills, with the ability to work with complex and large-scale datasets.

· Strong experience in data analysis, data profiling, reconciliation, and Data Quality (DQ) validation.

· Ability to explore large datasets and translate analysis into clear findings, recommendations, and actionable insights.

· Experience working with large volumes of data and understanding of performance optimisation techniques.

· Ability to identify inefficient queries or data-processing patterns and work with Data Engineers to improve performance.

· Hands-on knowledge of Python and PySpark for data analysis and large-scale data processing.

· Ability to bring together data from multiple online and offline data sources, perform QC/reconciliation, and derive meaningful insights.

· Strong understanding of data relationships, transformations, business rules, and data lineage.

· Ability to understand business requirements and translate them into data requirements, analysis, validation rules, and acceptance criteria.

· Experience with Git-based version control and working within standard development and review processes.

· Ability to document data definitions, business rules, mappings, analysis findings, and validation outcomes.

· Ability to collaborate with Data Engineers, Data Architects, BI teams, QA teams, Product Owners, and business stakeholders to brainstorm and implement solutions.

· Good communication skills with the ability to present analysis and explain data findings clearly to both technical and non-technical stakeholders.

· Experience working in Agile/Scrum delivery environments.