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

📌 Data Analyst (Solapur)
🏢 NexionPro Services
📍 Solapur