Website Deltaanalytics.ai

Data Analyst at Delta Analytics AI

Delta Analytics AI is a specialised technology firm that focuses on the intersection of E-commerce and Artificial Intelligence. They provide a comprehensive suite of tools—including live dashboards and automated purchase orders—that help online retailers manage pricing, availability, and “share of search.”

As a Data Analyst here, you won’t just be cleaning spreadsheets; you’ll be building the models that dictate how e-commerce brands scale using predictive intelligence and automation.


🟢 Role Overview & Impact

This is a full-time, remote position designed for an analyst who understands the fast-paced nature of digital retail. You will be responsible for the entire data lifecycle, from structuring raw data to delivering the “so-what” to stakeholders.

  • E-commerce Intelligence: Analyse complex datasets from various e-commerce channels (Amazon, Shopify, Walmart, etc.) to monitor pricing trends and search performance.

  • Predictive Modelling: Build statistical and data models that help automate operational tasks like purchase orders and inventory forecasting.

  • Cross-Functional Collaboration: Partner with engineering and product teams to integrate these insights into live, customer-facing dashboards.

  • Actionable Insights: Transform structured data into clear, strategic recommendations that drive operational efficiency for Delta’s global clients.


📊 Compensation & Salary Benchmarks (2026)

Based on 2026 market trends for remote AI-focused data roles:

Metric Details
Average CTC ₹10 LPA – ₹18 LPA (Depending on years of experience and tech proficiency).
Top Percentile ₹20 LPA+ for candidates with strong Python/ML backgrounds.
Market Premium “AI-enabled” analytics roles are currently commanding a 15-20% premium over traditional business analyst roles.
Location : Fully Remote (Work from anywhere).

🎯 Key Requirements & Tech Stack

  • Education: Bachelor’s or Master’s in Data Science, Statistics, Mathematics, or CS.

  • Technical Proficiency: * SQL: For extracting and structuring complex e-commerce data.

    • Python/R: For statistical modelling and automation scripts.

    • Visualisation: Experience building live dashboards.

  • Expertise: Strong skills in Data Modelling and structured problem-solving.

  • Bonus: Prior experience specifically with e-commerce datasets or supply chain analytics.

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