Website Gokaldas Exports

Data Analyst at Gokaldas Exports

Gokaldas Exports is one of India’s largest and most prestigious apparel manufacturers and exporters. With a massive global footprint, they produce garments for some of the world’s biggest fashion brands. In the apparel industry, data is the thread that holds supply chains together—from tracking raw material costs to optimising factory floor efficiency and predicting seasonal demand.

As a Data Analyst here, you will work in a fast-paced manufacturing environment where your insights directly impact production timelines, waste reduction, and global export strategies.

🟢 Role Overview & Impact

This is a mid-level role (2–4 years) that requires a balance of technical “hard skills” and the ability to navigate the complexities of the textile industry.

  • Manufacturing Intelligence: Analyze production data to identify bottlenecks in the garment manufacturing process.

  • KPI Governance: Develop and maintain the databases and reports that track “Line Efficiency,” “Cut-to-Ship” ratios, and quality control metrics.

  • Cross-Functional Collaboration: Partner with Merchandising, Production, and Finance teams to design data-driven solutions for inventory management.

  • Strategic Reporting: Use Tableau or D3.js to create visualizations that help senior management understand complex global supply chain trends.

  • Process Evolution: Identify manual reporting processes and use Python or SQL to automate them, increasing overall organizational efficiency.

📊 Compensation & Role Details (2026)

Based on 2026 benchmarks for the Apparel and Manufacturing sector in Bangalore:

Metric Details
Experience Range 2 – 4 Years
Average CTC ₹7 LPA – ₹13 LPA (Varies based on proficiency in Python/SAS).
Location Bangalore/Bengaluru (Likely based out of their corporate office or a major manufacturing hub).
Tech Stack : SQL, Tableau, R, Excel, D3.js, Python.
Industry Standing Gokaldas is a Fortune 500 Indian company, offering high stability and exposure to international business standards.

🎯 Required Skills & Expertise

  • Technical Suite: Strong proficiency in SQL for data extraction and Tableau or R for deep-dive statistical analysis.

  • Visual Storytelling: Ability to use D3.js or Python libraries (like Pandas/Matplotlib) to turn raw production numbers into visual stories.

  • Predictive Mindset: Preferred skills in SAS and Predictive Modelling to forecast demand and optimise fabric utilisation.

  • Communication: High-level ability to present technical findings to stakeholders who may come from non-technical manufacturing backgrounds.

To apply for this job please visit remotejobhiring.com.