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Bijal BhadreshaBB

Bijal Bhadresha

Senior Product Analytics Manager

€695/day
London, GB
8-15 years

Average response time: 1 hour

About Bijal

I am a senior data and analytics consultant with over 10 years of experience helping organisations make faster, smarter decisions through better data. My background spans digital product analytics, commercial data strategy, and data infrastructure - working at scale across global audiences at Conde Nast, where I led analytics across brands including Vogue, GQ, and Wired.


I work with leadership teams and cross-functional stakeholders to cut through data complexity: whether that means building the strategy for how a business measures success, diagnosing why a product is not performing as expected, designing an experimentation programme from the ground up, or turning a fragmented data landscape into a single trusted source of insight.


My approach is hands-on and outcome-focused. I do not just produce reports - I work alongside your team to embed data thinking into how decisions get made, and I leave you with something that continues to deliver value after the engagement ends.
  • English

    Native or bilingual

  • Gujarati

    Fluent

Can work on-site
London (up to 50km)

Experience

  • Condé Nast
    Senior Product Analytics Manager
    August 2024 - May 2026 (1 year and 9 months)
    London, UK
    ⎼ Architecting scalable data models and pipelines in Databricks, owning end-to-end from data modelling to executive-ready insights.
    ⎼ Built an AI-powered Q&A platform for senior leadership to self-serve commercial data analysis, reducing time-to-insight at scale.
    ⎼ Designed and executed large-scale A/B experiments for advertising teams; created product metric trees to align analytics with company OKRs.
    ⎼ Managing and mentoring a team of 5 analysts; setting technical standards, closing skill gaps, fostering continuous growth.
    Data analysis Microsoft Excel SQL Databricks
  • Condé Nast
    Product Analytics Manager
    February 2022 - August 2024 (2 years and 6 months)
    London, UK
    ⎼ Led end-to-end data pipeline development and built reusable commercial and user models, enabling self-serve analytics for Product teams.
    ⎼ Partnered with senior engineers to improve data workflows, quality, and governance from raw ingestion upwards.
    ⎼ Translated ambiguous business questions into actionable, clearly communicated insights; managed a team of 3 analysts.
  • Condé Nast
    Commercial Data Manager
    June 2018 - February 2022 (3 years and 8 months)
    London, UK
    ⎼ Owned analytics for user and advertiser data across global online magazines; built executive dashboards in Tableau and Data Studio (now Looker).
    ⎼ Defined KPIs and metric frameworks with Product Managers; led cross-functional A/B testing to improve product performance.
    ⎼ Managed a team of 2 data analysts and maintained large-scale data sets for all business stakeholders.

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Education

  • BSc Mathematics
    University of Southampton
    2013
    BSc Mathematics
  • A-levels
    Beal High School
    2010
    A-levels

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