An AI-first SaaS platform transforming Google Performance Max (PMAX) advertising for enterprise retail is looking for a Data Analyst to join the team. They automate budget optimization, asset management and workflow control, ensuring bands and retailers scale efficiently with AI-driven media.
This is a data-driven, AI-enable role with a clear path to product ownership. You will work on a hybrid basis, with 1-2 days per week in the office.
As Data Analyst, you’ll work at the intersection of data, AI and product strategy, focussing on:
Evaluating and automating prospect account analysis to accelerate deal cycles.
Assessing Google Ads accounts from a commercial, industry, and AI adoption perspective.
Codifying, standardising, and optimising the way Upp.ai measures ad performance and AI effectiveness.
Engaging directly with customers, sales, and engineering to translate data into actionable insights.
Key Responsibilities
Develop and automate account assessment frameworks, reducing analysis time and improving accuracy.
Build Python-based analytics models to measure Google Ads performance, AI effectiveness, and commercial impact.
Standardise key metrics for paid media efficiency, AI adoption scoring, and benchmarking against industry best practices.
Reduce manual analysis by implementing automation pipelines that surface insights instantly.
Work with engineers to productise automated performance assessments and integrate them into the sales workflow.
Present data-driven insights to potential customers, demonstrating AI adoption benefits and performance gains.
Translate customer analysis and industry trends into product roadmap insights.
Collaborate with engineering on optimising AI decision-making models based on real-world account data.
We’re looking for a Data Analyst with:
Python & SQL proficiency – automating analysis, handling large datasets, and generating insights.
Experience with Google Ads APIs, paid media analytics, or marketing automation tools.
Ability to build visualisations and dashboards using Matplotlib, Plotly, or BI tools.
Comfortable presenting insights to customers and internal teams.
Ability to bridge technical analysis with commercial outcomes.
Experience in ad-tech, AI automation, or SaaS analytics is a plus.
Passion for AI-driven decision-making in paid media.
Ability to codify and structure analytical models into scalable frameworks.
Interest in growing into a Product Owner role with a strong foundation in data.
To apply for this role as Data Analyst, please click apply online and upload an updated copy of your CV.
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