Open to new opportunities

Bhavesh Nathwani

Senior Data Analyst

Senior Data Analyst with 7+ years building central data functions from scratch in high-growth startups. I combine deep commercial analytics with modern AI, having recently completed an MSc in Applied Data Science & AI with Distinction.

7+
Years in data & analytics

Tools & Technologies

SQL
Python
PostgreSQL
BigQuery
Redshift
Metabase
Google Cloud
AWS
n8n
Power Automate
Google Sheets
Excel
Apps Script
Automation

Professional History

Founding Data Hire & Senior Data Analyst
Oct 2020 – Jan 2026
Canopy  · 5.5 years

Oversaw all end-to-end data analytics, infrastructure and insights across a 5.5-year tenure, supporting the business through multiple funding rounds, a strategic competitor acquisition and growth from 3,000 to over 1 million users.

Senior Data Analyst Mar 2024 – Jan 2026

Promoted to full ownership of data strategy, infrastructure, engineering and analytics. Served as core data stakeholder during the acquisition of Canopy's largest competitor.

  • Published the data architecture and methodologies behind Canopy's Rental Affordability Index, cited 400+ times by the BBC, Sky News and The Independent. It significantly drove brand authority and organic reach.
  • Led post-acquisition data integration: mapped and reconciled highly complex, disparate operational datasets from both companies to create a single source of truth for company-wide KPIs and reporting.
  • Overhauled core data infrastructure via a major migration from Google BigQuery and AWS Redshift to PostgreSQL, reducing pipeline processing times by 90%.
  • Drove adoption of the company's self-serve analytics framework, empowering cross-functional teams to build their own reports, cutting ad-hoc data requests by 75%+.
  • Mentored a Junior Data Analyst through to a Principal Data Analyst contract at the BBC; established company-wide data governance, integrity checkpoints, and automated reconciliation frameworks.
🏆 British Data Awards 2025 Finalist
Data Analyst Oct 2020 – Mar 2024

Appointed as the first data hire, architecting and launching Canopy's central data function from scratch.

  • Evaluated and overhauled the BI tech stack, migrating from vendor-implemented AWS QuickSight to Metabase, a more intuitive, cost-effective and scalable solution.
  • Built scalable reporting infrastructure, automating weekly, monthly and quarterly operational insight loops that removed manual bottlenecks and improved leadership forecasting accuracy.
  • Introduced predictive modelling and cohort analysis to evaluate user behaviour, identify churn risks and surface expansion opportunities for product and marketing teams.
Graduate Insight Analyst
May 2019 – Sep 2020
Webalytix  ·  London

Appointed to support clients in leveraging data for strategic decision-making, bridging the gap between raw data and actionable insights. Operated in a consultant capacity, working directly with stakeholders to deliver tailored analytics solutions.

  • Led end-to-end data projects from scoping and requirements gathering through to delivery, ensuring high-impact, client-ready outputs.
  • Developed and automated data workflows using SAS, SQL (SQL Server, MySQL, Snowflake) and Python, incorporating basic machine learning models.
  • Designed interactive dashboards and visualisations in Tableau, Excel and Python, transforming complex datasets into clear, actionable insights.
  • Delivered well-documented analytical outputs ensuring clients had a thorough understanding of methodology and outcomes.

Academic Background

MSc Applied Data Science & AI
Oct 2024 – May 2026
98%Coursework GPA
84%Dissertation GPA
Academic ExcellenceFinal Grade
Dissertation: My dissertation focused on building a hybrid human-AI system to automatically discover undeclared foreign key relationships in large-scale relational databases, a problem that sits at the heart of AI-powered data discovery and database automation.
Modules:
Python for Data Science Applied Machine Learning Big Data & Cloud Computing Applied AI Applications in Data Science & AI Research Methods Ethics & Regulations of AI Business Problem Solving Project Management
BSc Mathematics with Honours
Sep 2015 – Sep 2018
Hindu Society  ·  Mathematics Society  ·  PASS Leader  ·  UoM Buddy Scheme
Year 1:
Financial Reporting Management Accounting Probability
Year 2:
Probability 2 Statistical Methods PDEs & Vector Calculus Financial Mathematics
Year 3:
Green's Functions Integral Equations Mathematical Logic Wave Motion Martingales & Applications Markov Processes

Contact

Open to new opportunities in data, analytics and AI. Find me on LinkedIn.