Data Analyst – Commercial Analytics / Data & AI

Summary

Responsibilities

• Design, develop, and maintain scalable data pipelines and analytical models using Databricks, Python, and PySpark to support commercial reporting needs.
  
• Perform deep-dive analysis on sales performance, revenue trends, and market dynamics to identify opportunities for business expansion and efficiency.
  
• Manage data extraction, transformation, and loading (ETL) processes from diverse sources including SAP SD, Salesforce (SFDC), and Amazon Redshift.
  
• Create dynamic, interactive dashboards and visual reports using Qlik Sense, Power BI, and Tableau to communicate key performance indicators to leadership.
  
• Conduct rigorous data quality checks and reconciliation activities to ensure the accuracy and reliability of commercial data assets.
  
• Collaborate with cross-functional teams to define business requirements and translate them into technical specifications for data solutions.
  
• Monitor and optimize data workflows to enhance processing speed and reduce latency in reporting cycles.
  

• Possess a minimum of 5 years of professional experience in data analytics, preferably within the IT Services or commercial sectors.
  
• Demonstrate proven expertise with big data technologies, specifically Databricks, Amazon Redshift, and Python/PySpark.
  
• Show strong proficiency in business intelligence and visualization tools such as Qlik Sense, Power BI, and Tableau.
  
• Have hands-on experience with enterprise resource planning and CRM systems, including SAP SD and Salesforce/SFDC.
  
• Exhibit a solid background in commercial or sales analytics, with the ability to interpret complex financial and operational data.
  
• Display a meticulous attention to detail with a focus on data quality assurance and reconciliation methodologies.
  
• Hold a competitive salary expectation aligned with the market rate of ₹12 lpa for this level of specialization.