---
title: "Animesh Singh - Senior Data Analyst in Dubai | Tal"
description: "Meet Animesh Singh, Analytics Engineer | Data & Product Analyst | SQL · Python · dbt · Power BI · Snowflake | CX, Growth, Loyalty, Strategy, Operations, Banking & Finance | A/B Testing & Experimentation based in Dubai. AI stack includes claude code, claude, and gemini."
image: "https://tal.club/meet/animesh-singh-3/share-image"
---

# Animesh Singh on Tal

## Headline

Analytics Engineer \| Data & Product Analyst \| SQL · Python · dbt · Power BI · Snowflake \| CX, Growth, Loyalty, Strategy, Operations, Banking & Finance \| A/B Testing & Experimentation

## About

I turn messy, fragmented data into reliable systems that people actually use to make decisions\. Over 6 years I've built analytics foundations across high\-scale consumer platforms: from a 100M\+ user food delivery super\-app at Swiggy to a fast\-growing meal\-kit business in Dubai\. My work sits at the intersection of data engineering and business intelligence: I design the semantic layers and dbt data marts that make the numbers trustworthy, then build the dashboards and frameworks that put those numbers in the hands of non\-technical decision\-makers\. What I do well: • Build single sources of truth \- semantic data layers, dbt marts, KPI governance frameworks that teams actually agree on and trust\. • Tell the story in the data \- Power BI and QuickSight dashboards that go beyond vanity metrics and drive real decisions for Finance, Marketing, Product, and Operations\. • Bridge business and technology \- translating ambiguous stakeholder questions into clean analytical frameworks, and translating data findings back into language executives act on\. • Drive data literacy \- mentoring analysts, running SQL training, and championing self\-serve analytics so teams stop waiting on data and start asking better questions themselves\. • Find the signal in unstructured data \- NLP\-driven ticket analysis, churn and LTV modelling, and A/B experimentation that connects customer behaviour to commercial outcomes\. Career highlights: • Drove 3\.5× growth in Swiggy ONE premium subscribers in through lifecycle segmentation\. • Improved platform CSAT by \+5pp by applying NLP to large\-scale support ticket data and reducing agent handling time\. • Improved conversational AI chatbot efficacy by \+8pp and CSAT by \+2pp through measurement frameworks and RCA\-driven iteration\. • Reduced fraudulent card transactions delivering annual savings at Capgemini\. Currently based in Dubai, open to roles in analytics engineering, BI leadership, and senior data analyst positions including international relocation\. Let's connect if you work in data, are building a data\-driven team, or just want to talk shop about analytics engineering and BI\.

## Location

Dubai

## AI stack

claude code

claude

gemini

github copilot

replit

ChatGPT

## Work experience

Senior Data Analyst at Hello Chef, Oct 2025 \- Feb 2026 · 5 mos, Dubai, United Arab Emirates, • Architected the organisation\-wide semantic data layer from scratch : defined KPI logic, metric governance, and lineage documentation across Marketing, Product, Loyalty, and Last Mile, creating a single source of truth for analysis\. • Built and scaled dbt data marts across core domains; standardised KPI definitions and metric logic to improve cross\-team reporting consistency and dashboard trust\. • Published QuickSight dashboards for leadership and functional teams to track business performance and key drivers across Finance, Last Mile, and Marketing\.

Senior Business Analyst at Swiggy, Apr 2023 \- Aug 2025 · 2 yrs 5 mos, • Analyzed large\-scale unstructured support\-ticket data to surface disposition trends; reduced agent AHT/ART and improved platform CSAT by \+5pp\. • Led A/B testing to evaluate the Conversational GenAI chatbot, analysing intent recognition and resolution metrics; conducted RCAs with Product/Engineering improving bot efficacy by \+8pp and CSAT by \+2pp\. • Mentored junior analysts and supported sprint planning, prioritisation, automation, and SQL performance optimisation\.

Business Analyst at Swiggy, Nov 2021 \- Mar 2023 · 1 yr 5 mos, • Implemented a customer\-level segmentation framework to identify high\-value users; drove a 3\.5× increase in Swiggy ONE Premium subscriptions within months\. • Built BI dashboards to monitor Subscription Health, Unit Economics, and Restaurant P&L performance, enabling leadership visibility on revenue, costs, and profitability\.

Associate Consultant at Capgemini, Jul 2021 \- Oct 2021 · 4 mos, Pune, Maharashtra, India, • Proactively monitored payment performance across Americas \+ APAC, identifying failures and drop\-offs; improved payment success rate by \+5% across millions of transactions\. • Reduced fraudulent credit card transactions through monitoring and prevention workflows, delivering annual cost savings\. • Managed ATM location data quality for 50\+ banks on Pulse ATM Locator, ensuring accuracy and reliability for customer\-facing use cases and downstream reporting\.

Senior Software Engineer at Capgemini, Jul 2020 \- Jun 2021 · 1 yr, Pune, Maharashtra, India

Software Engineer at Capgemini, Sep 2019 \- Jun 2020 · 10 mos, Pune, Maharashtra, India

## Education

Bachelor of Technology, Information Technology, DIT University

[View the original profile](https://tal.club/meet/animesh-singh-3)

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