Data Analyst

NexionPro Services; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

NexionPro Services is seeking an experienced Data Analyst to leverage Databricks for data analysis, validation, and troubleshooting. The role demands strong SQL, Python, and PySpark skills to handle large datasets, perform data profiling and quality checks, and derive actionable insights.

The candidate will collaborate with Data Engineers, BI teams and product stakeholders, translating business requirements into data solutions with clear documentation and acceptance criteria.

Qualifications

• 7-11 years of Data Analyst experience required.
• Hands-on Databricks for data analysis, exploration, validation and troubleshooting.
• Advanced SQL querying and scripting for large-scale datasets.
• Experience with data analysis, profiling, reconciliation and data quality validation.
• Able to translate analysis into clear findings, recommendations and actionable insights.
• Experience handling large data volumes and performance optimisation techniques.
• Identify inefficient queries and work with Data Engineers to improve performance.
• Proficient in Python and PySpark for data processing.
• Bring together data from multiple sources, perform QC/reconciliation and derive insights.
• Understand data relationships, transformations, business rules and data lineage.

Responsibilities

• Collaborate with Data Engineers, Data Architects, BI teams, QA, Product Owners and stakeholders.
• Document data definitions, business rules, mappings, findings and validation outcomes.
• Present analysis findings clearly to both technical and non-technical stakeholders.
• Translate business requirements into data requirements, validation rules and acceptance criteria.
• Work within Agile/Scrum delivery environments.

Skills

Data analysis

Data profiling

Data reconciliation

Data quality validation

Translate analysis into insights

Performance optimisation

Identify inefficient queries

Communication with stakeholders

Agile/Scrum delivery

Collaborate with teams

Tools

Databricks

SQL

Python

PySpark

Git

Job description

• 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.