Data Analyst (Growth Hacking)
Data Analyst (Growth Hacking)

Data Analyst (Growth Hacking)

Preston Full-Time 36000 - 60000 £ / year (est.) No home office possible
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fanvue

At a Glance

  • Tasks: Uncover growth opportunities and drive data-driven decisions in a fast-paced environment.
  • Company: Join Fanvue, the leading AI-powered platform revolutionising creator monetisation globally.
  • Benefits: Enjoy competitive salary, unlimited holiday, remote work, and flexible hours.
  • Why this job: Shape strategy through insights, collaborate with a talented team, and empower creators worldwide.
  • Qualifications: 5-6 years experience in data analysis, advanced SQL skills, and familiarity with A/B testing.
  • Other info: Opportunity to work with innovative tools like Amplitude and Python for predictive analytics.

The predicted salary is between 36000 - 60000 £ per year.

Fanvue is the fastest-growing creator monetisation platform in the creator economy. We are the leading AI-powered creator-first platform, designed to empower creators worldwide to directly monetise their audience. We’re on a mission to redefine the creator economy by empowering creators to connect, share, and earn more efficiently.

We’re looking for a Data Analyst to join our Growth team. This is a high-impact role for someone who thrives in fast-paced environments, takes ownership, and is excited by the opportunity to shape strategy through insights and experimentation. You’ll play a critical role in uncovering new growth opportunities, driving data-driven decisions, and setting up the infrastructure to make experimentation and insight generation more effective.

What You’ll Do:

  • Insight Generation & Opportunity Identification
    • Use data to uncover new growth levers and highlight areas of opportunity across the product and marketing funnel
    • Drive ad-hoc investigations into user behaviour, acquisition, retention, and monetisation
    • Help define and prioritise the data points we capture to enable smarter decision-making
  • Experimentation & Analysis
    • Conduct A/B test analysis to inform and validate hypotheses
    • Collaborate with the Growth team to interpret results and iterate on experiments
    • Use tools like Amplitude and SQL to understand user behavior patterns and conversion metrics
  • Dashboarding & Reporting
    • Build and maintain executive-level dashboards to surface the most important insights
    • Elevate the team’s data literacy and decision-making through accessible and high-impact reporting
  • Tooling & Predictive Analytics
    • Support the setup and optimisation of Amplitude to improve experimentation workflows (event setup by engineering)
    • Leverage Python and SQL to deliver predictive models and analysis where valuable
    • Help establish frameworks for innovation and continuous improvement in how we use data

Who You Are:

  • Must-haves
    • 5–6 years of experience in a data analyst or product analytics role
    • Advanced SQL skills; comfortable querying complex datasets
    • Intermediate Python skills (for deeper analysis or light modeling)
    • Experience with A/B testing, ideally in a product-led growth or experimentation-heavy environment
    • Strong knowledge of SaaS product analytics; ability to work cross-functionally with product and growth teams
  • Nice-to-haves
    • Experience with Amplitude and/or Amazon QuickSight is a plus, but not essential

You’ll Be Successful If:

  • You’ve surfaced high-quality, previously unknown insights that helped drive product or growth wins
  • Amplitude is fully utilised for experiment tracking, and your dashboards are being used regularly by key stakeholders
  • You’re known for high ownership and your ability to ask the right questions at the right time
  • The Growth team relies on your analyses to drive strategy and prioritisation

You’ll Struggle If:

  • You need handholding and don’t take initiative
  • Prioritise ego over team
  • Can’t operate with ambiguity
  • You wait for permission instead of making informed decisions and taking ownership
  • Don’t give or request feedback in any direction

Why Join Fanvue?

  • Competitive salary and benefits package
  • Work with a talented, mission-driven team dedicated to empowering creators worldwide
  • A culture that values innovation, speed, excellence, ownership, and transparency
  • Unlimited holiday
  • Remote working
  • Flexible hours, according to the times you perform best
  • Budget for growth and wellbeing
fanvue

Contact Detail:

fanvue Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst (Growth Hacking)

✨Tip Number 1

Familiarise yourself with the tools mentioned in the job description, especially Amplitude and SQL. Being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.

✨Tip Number 2

Prepare examples of past projects where you've successfully identified growth opportunities through data analysis. Highlight how your insights led to actionable strategies, as this aligns perfectly with what Fanvue is looking for.

✨Tip Number 3

Showcase your ability to work cross-functionally by discussing experiences where you've collaborated with product or marketing teams. This will demonstrate that you can thrive in a fast-paced environment and contribute to the Growth team's success.

✨Tip Number 4

Be ready to discuss your approach to A/B testing and how you've used data to validate hypotheses in previous roles. This will illustrate your hands-on experience and understanding of experimentation, which is crucial for the role.

We think you need these skills to ace Data Analyst (Growth Hacking)

Advanced SQL Skills
Intermediate Python Skills
A/B Testing Experience
SaaS Product Analytics Knowledge
Data-Driven Decision Making
User Behaviour Analysis
Dashboarding and Reporting
Experimentation Methodologies
Collaboration with Cross-Functional Teams
Predictive Modelling
Data Literacy Enhancement
Insight Generation
Opportunity Identification
Strong Analytical Skills
Ownership and Initiative

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analyst position at Fanvue. Familiarise yourself with key terms like A/B testing, SQL, and data-driven decision-making.

Tailor Your CV: Highlight your relevant experience in data analysis, particularly focusing on your SQL and Python skills. Include specific examples of how you've used data to drive growth or insights in previous roles.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the creator economy and how your skills align with Fanvue's mission. Mention any experience you have with experimentation and how it has led to successful outcomes.

Showcase Your Analytical Skills: If possible, include a portfolio or examples of past projects where you've conducted analyses or built dashboards. This will demonstrate your ability to generate insights and support decision-making effectively.

How to prepare for a job interview at fanvue

✨Showcase Your Analytical Skills

Prepare to discuss specific examples of how you've used data to drive insights and decisions in previous roles. Be ready to explain your thought process and the impact of your findings on growth strategies.

✨Familiarise Yourself with A/B Testing

Since the role involves experimentation, brush up on your A/B testing knowledge. Be prepared to discuss past experiments you've conducted, the methodologies you used, and how you interpreted the results to inform future actions.

✨Demonstrate SQL Proficiency

As advanced SQL skills are a must-have, practice writing complex queries and be ready to solve problems on the spot. You might be asked to demonstrate your ability to extract meaningful insights from large datasets.

✨Emphasise Collaboration and Ownership

Highlight your experience working cross-functionally with teams, especially in fast-paced environments. Share examples that showcase your ability to take ownership of projects and ask the right questions to drive team success.

Data Analyst (Growth Hacking)
fanvue
Location: Preston
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