Data Analyst – Commercial Analytics / Data & AI

Zoho; India; Remote; INR 1,080,000 - 1,320,000; Full time

Job summary

Zoho is seeking a Data Analyst for Commercial Analytics & Data & AI to turn complex sales data into strategic insights. You will build data pipelines, perform deep-dive analyses, and create dashboards for leadership using Databricks, Python, and BI tools.

You will collaborate with cross‑functional teams, ensure data quality, and drive revenue growth through actionable analytics and forecasting accuracy.

Qualifications

• 5+ years of professional experience in data analytics, preferably in IT Services or commercial sectors.
• Proven expertise with big data technologies such as Databricks and Python/PySpark.
• Strong proficiency in BI/visualization tools (Qlik Sense, Power BI, Tableau).
• Hands-on experience with SAP SD and Salesforce/SFDC.
• Background in commercial or sales analytics with ability to interpret financial data.
• Attention to data quality assurance and reconciliation methodologies.

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 ETL processes from SAP SD, Salesforce/SFDC, and Amazon Redshift.
• Create dynamic dashboards and visual reports using Qlik Sense, Power BI, and Tableau for leadership.
• Ensure data quality checks and reconciliation of commercial data assets.
• Collaborate with cross-functional teams to translate business requirements into technical specifications.
• Monitor and optimize data workflows to reduce latency in reporting cycles.

Tools

Databricks

Amazon Redshift

Python/PySpark

Qlik Sense

Power BI

Tableau

SAP SD

Salesforce SFDC

Job description

Data Analyst - Commercial Analytics / Data & AI

Job Description

Data Analyst - Commercial Analytics / Data & AI

Summary

We are seeking a skilled Data Analyst to join our IT Services team, specializing in commercial analytics and data-driven artificial intelligence initiatives. In this pivotal role, you will leverage advanced data platforms to transform complex sales and commercial datasets into actionable strategic insights. The position is critical for driving revenue growth, optimizing sales processes, and ensuring data integrity across our commercial operations. You will serve as a key bridge between technical data engineering and business stakeholders, utilizing a robust tech stack to support decision-making and forecast accuracy.

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.

Requirements

• 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.