Skip to content
Yash Singh Ramgadiya

Career history

Experience

Eight years across analytics leadership, analytics engineering, growth, commercial intelligence, AI and advanced analytics.

Burda Luxury, Asia Pacific

Internal progression, one tenure

Regional Analytics Lead, APAC

-

Lead a 25-person cross-functional analytics organisation across 8 brands and 5 APAC markets, owning analytics strategy and roadmap, KPI and metric governance, and analytics productisation.

Outcomes

  • Set the regional analytics strategy and roadmap across commercial, customer, marketplace, subscription and marketing analytics.
  • Govern KPIs, metric definitions and data contracts on the in-house production analytics platform: 22+ source-specific transformation layers and approximately 45 Cube.js semantic models.
  • Productise analytics for leadership and operators, including the in-house AI-enabled analytics agent built on governed semantic APIs.
  • Lead the Redshift-to-DuckDB modernisation programme, targeting approximately 40% lower Redshift infrastructure cost.
  • Own subscription measurement, Amazon marketplace analytics, Shopify reconciliation and commercial metric governance across the region.
Scope
Analytics strategy and roadmap, KPI and metric governance, semantic-layer governance and data contracts, executive reporting and analytics productisation across commercial, customer, subscription, marketplace and marketing analytics, together with AI-enabled analytics, reconciliation and QC, and platform modernisation.
Team
25-person cross-functional organisation spanning 8 analysts, 5 data engineers, 4 AdOps, 3 SEO, 3 GA/GTM and 2 UI/UX.
Commercial measurement
CAC, LTV, conversion, recurring revenue and MRR, churn, marketplace performance, ROAS, MER, ACoS and TACoS.
Technology
  • SQL
  • dbt
  • Cube.js
  • Amazon Redshift
  • DuckDB
  • Python

Featured work from this role

Analytics Lead

-

Led a 10-person team of six analysts, three data engineers and a GA/GTM specialist, building customer, product, subscription, cohort, acquisition and retention analytics for the APAC business.

Outcomes

  • Led a 10-person analytics and engineering team supporting DTC, subscription, customer, marketplace and marketing analytics across Shopify, Recharge, GA4, Amazon and paid media.
  • Defined a 13-section executive intelligence product and translated recurring stakeholder requirements into a prioritised 16-item analytics engineering backlog.
  • Introduced LLM-assisted reporting automation, reducing recurring reporting effort by approximately 30% and cutting turnaround from up to a week to hours after source refresh.
  • Led structured A/B testing across digital journeys that delivered a 12% conversion-rate lift.
  • Established a Shopify source-to-report reconciliation framework across timing, metric definition, date anchor and attribution, improving traceability and confidence in executive reporting.
Scope
Customer, subscription, product, cohort, acquisition and retention analytics across Shopify, Recharge, GA4, Amazon and paid media, plus executive intelligence product definition, reporting automation and experimentation.
Team
10-person team of 6 analysts, 3 data engineers and 1 GA/GTM specialist.
Technology
  • Shopify
  • Recharge
  • GA4
  • Amazon
  • Paid media platforms
  • SQL

Featured work from this role

Safehouse Tech

Lead Data Analyst

-

Led a 7-person team of three analysts, three data engineers and a GA/GTM specialist, delivering security-event analytics for a cybersecurity product business.

Outcomes

  • Led a 7-person analytics and engineering team and partnered directly with the CPO and engineering leadership on security intelligence, anomaly detection and real-time analytical capabilities.
  • Developed scalable GCP event pipelines using BigQuery, Dataflow and Pub/Sub, supporting near-real-time threat analysis and automated alerting.
  • Introduced Generative AI-assisted threat classification and workflow automation, improving analytical throughput by approximately 25% and contributing to an approximately 15% reduction in system downtime.
Scope
Cybersecurity analytics: security-event pipelines, anomaly detection, threat intelligence, real-time alerting and Generative AI-assisted threat classification.
Team
7-person team of 3 analysts, 3 data engineers and 1 GA/GTM specialist, partnering directly with the CPO and engineering leadership.
Technology
  • BigQuery
  • Dataflow
  • Pub/Sub
  • Google Cloud Platform

Featured work from this role

Burda Luxury

Senior BI & Data Analyst - First tenure

-

First tenure at Burda Luxury, focused on customer, audience and campaign analytics, forecasting and BI reporting for the media business.

Outcomes

  • Managed 3 analysts delivering customer, audience and campaign analytics across commercial and digital stakeholders.
  • Built customer-behaviour forecasting that improved targeted-advertising precision by approximately 25%, alongside analytics contributing to an approximately 20% improvement in campaign effectiveness and an approximately 15% improvement in customer engagement.
  • Automated recurring commercial reporting, reducing the reporting cycle by approximately 30% and improving the timeliness of audience-performance insights.
  • Applied NLP-based sentiment analysis to strengthen understanding of customer and audience behaviour.
Scope
Campaign, audience and customer analytics, forecasting, BI and reporting, and NLP sentiment analysis for commercial and digital stakeholders.
Team
Managed 3 analysts.
Commercial measurement
CPC, CTR, ROAS, LTV, frequency and recency.

Featured work from this role

Saras Analytics

Senior Data Analyst

-

Digital performance and growth analytics for a major MENA quick-service restaurant portfolio.

Outcomes

  • Led digital performance analytics across a major MENA QSR portfolio covering Pizza Hut, KFC and Hardee's across 22 regional websites, defining and governing 50+ KPIs.
  • Led analytics and optimisation that supported conversion improvement from approximately 9% to 15% in lower-performing markets and approximately 16% to 27%+ in leading markets.
  • Contributed to the client reaching a $100M digital-revenue milestone one month ahead of plan.
  • Introduced anomaly detection and Python/API automation, reducing reporting anomalies by approximately 20% and manual reporting workload by approximately 35%.
Scope
Growth and customer-behaviour analytics, digital funnel analytics, conversion optimisation, anomaly detection and reporting automation for Pizza Hut, KFC and Hardee's across 22 MENA websites and 50+ governed KPIs.
Technology
  • Python
  • APIs
  • Web and funnel analytics
  • SQL

Featured work from this role

Cyient

Data Analyst

-

Sales forecasting, business intelligence and self-service analytics for sales, marketing, finance and project-management stakeholders.

Outcomes

  • Built “Headliners”, an executive Power BI sales-forecasting product combining regression modelling and scenario planning.
  • Enabled self-service analytics for 10+ business users using Excel and PowerPivot while standardising KPI definitions across sales, marketing, finance and project-management stakeholders.
  • Analytics work contributed to an approximately 15% improvement in customer retention.
Scope
Forecasting, regression and scenario planning, self-service analytics and KPI governance for sales, marketing, finance and project-management stakeholders.
Technology
  • Power BI
  • Excel
  • PowerPivot

Featured work from this role

Explore the full body of work