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⚡ Source: ReedRef: 56868289

Product Analyst

Harnham - Data & Analytics Recruitment·London·Posted 3 weeks ago
🏠 Hybrid💰 £55-65k/year
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Job description

Original text imported from Reed

Product Analyst
London, hybrid 3 to 4 days in the office. Up to £65,000 plus benefits.

This is an opportunity to join a fast growing product led business where data sits at the heart of decision making. You will work on digital products used by millions of users every month, with the scope to shape product performance, experimentation and long term roadmap decisions.

The Company
They are a B2B2C technology business building on device digital products for large scale consumer audiences. Their platforms help partners manage, measure and monetise the end user device experience through content, features and advertising. The business operates at significant scale, generating billions of impressions and a rich product data set. Data and analytics are central to how they evolve their products and optimise user experience.

The Role
As a Product Analyst, you will sit within a dedicated Product Analytics team and work closely with Product Managers, Engineers and the wider Analytics function. Your focus will be on understanding product performance and driving improvements through insight and experimentation.

Key responsibilities include:

  • Conducting deep dive product analysis to identify opportunities, issues and performance anomalies across core features.
  • Owning end to end experimentation, from hypothesis design through to analysis and recommendations.
  • Evaluating the impact of new features and enhancements as they are released at pace.
  • Partnering with product stakeholders to influence roadmap decisions using data driven insight.
  • Communicating findings clearly to both technical and non technical audiences.

Your Skills and Experience

  • Strong product analytics experience within a digital or consumer facing environment.
  • Advanced SQL and experience using BI tools such as Looker.
  • Hands on experience with A B testing and experimentation frameworks.
  • Ability to investigate complex data sets and translate analysis into clear actions.
  • Confident stakeholder communication skills.
  • Experience with Python and dbt is desirable but not essential.

What They Offer

  • Salary up to £65,000 plus a competitive benefits package.
  • Hybrid working with 3 to 4 days per week in a London office.
  • Exposure to high scale products and large volumes of data.
  • The chance to work closely with senior data and product leaders and make a visible impact.

How to Apply
If you are a Product Analyst looking to deepen your impact in a growing, product focused business, apply now to find out more.

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Key skills

AI-extracted from the job advert

Must-have skills
Product analytics experienceAdvanced SQLLookerA/B testingExperimentation frameworksDigital product environmentStakeholder communication
Nice-to-have
Pythondbt
Soft skills
CommunicationStakeholder managementAnalytical thinkingProblem solvingCollaborationAttention to detail
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight your SQL and Looker experience prominently as these are specifically mentioned as core requirements

2

📊 Quantify your A/B testing impact: 'Led 15 experiments resulting in 23% conversion uplift'

3

🌐 Emphasise any B2B2C or high-scale digital product experience to match their billions of impressions context

4

🎯 Showcase Python and dbt skills if you have them - they're desirable differentiators for this role

5

🤝 Demonstrate stakeholder communication examples with both technical and non-technical audiences

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Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Led 12 A/B experiments using advanced SQL and Looker, driving 18% conversion rate improvement across core product features
  • Conducted deep-dive analysis of user engagement data across 2.3M monthly active users, identifying performance anomalies that informed roadmap prioritisation
  • Partnered with 5 Product Managers to evaluate new feature impacts, delivering data-driven recommendations that influenced £1.2M product investment decisions

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Letter preview — tailored to Harnham - Data & Analytics Recruitment

Dear Hiring Manager,

Your Product Analyst role at this B2B2C technology business represents exactly the high-impact, data-driven environment I want to advance my career in. With advanced SQL skills and hands-on A/B testing experience, I'm drawn to the opportunity to influence product decisions across platforms generating billions of impressions.

My background in product analytics within consumer-facing digital environments has equipped me with the technical expertise and stakeholder communication skills essential for this role. I have extensive experience with experimentation frameworks and translating complex data insights into actionable product recommendations.

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Interview questions

10 questions generated from this advert.

Technical

  • Walk me through how you would design an A/B test for a new product feature
  • How would you investigate a sudden drop in user engagement using SQL?
  • Explain how you would measure the success of a product launch
  • What BI tools have you used and how do you ensure data accuracy?
  • How do you approach analysing complex datasets with multiple variables?

Behavioural

  • Tell me about a time you influenced a product decision using data analysis
  • Describe a situation where you had to communicate complex findings to non-technical stakeholders
  • Give an example of when you identified a product performance issue and how you resolved it
  • Tell me about a challenging experimentation project you led from start to finish
  • Describe how you prioritise competing analytical requests from different product teams
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time you influenced a product decision using data analysis

When our mobile app's checkout conversion dropped by 12% over 3 weeks, I conducted a deep-dive analysis using SQL to segment user behaviour by device type and payment method. I discovered that iOS users were abandoning at the payment confirmation screen 34% more than Android users. Through further analysis of session recordings and error logs, I identified a UI rendering issue specific to iOS 15. I presented these findings to the Product Manager with clear visualisations showing the £8,400 weekly revenue impact. Based on my recommendation, the engineering team prioritised the iOS fix, and within 2 weeks of deployment, conversion rates recovered to baseline levels, saving an estimated £33,600 in monthly revenue.
2Question

Describe a situation where you had to communicate complex findings to non-technical stakeholders

I was tasked with explaining the results of a complex multi-variant test on our homepage layout to the executive team, including the CEO and Marketing Director who had limited technical backgrounds. The test involved 4 different layouts with 15 metrics tracked over 6 weeks. Instead of presenting raw statistical data, I created a simple traffic light dashboard showing green for significant wins, amber for neutral results, and red for negative impacts. I used analogies, comparing A/B testing to trying different shop window displays, and focused on business outcomes: Layout C increased sign-ups by 23% and reduced bounce rate by 18%, translating to 1,200 additional customers monthly. The executives immediately understood the impact and approved rolling out Layout C company-wide within the meeting.

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