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

Data Analyst (Growth Hacking)

Sheffield Full-Time 36000 - 60000 £ / year (est.) Home office possible
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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, flexible hours, and a wellbeing budget.
  • Why this job: Shape strategy through insights, collaborate with a talented team, and empower creators worldwide.
  • Qualifications: 5-6 years of experience in data analysis, advanced SQL skills, and familiarity with A/B testing.
  • Other info: Ideal for proactive individuals who thrive on ownership and innovation.

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 behaviour 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 modelling).
    • 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.

Data Analyst (Growth Hacking) employer: fanvue

Fanvue is an exceptional employer that champions a culture of innovation and ownership, making it an ideal place for a Data Analyst looking to make a significant impact in the creator economy. With competitive salaries, unlimited holiday, and flexible working hours, employees are empowered to thrive both personally and professionally while collaborating with a talented team dedicated to redefining how creators monetise their work. The opportunity for growth and wellbeing, combined with a commitment to transparency and excellence, makes Fanvue a rewarding workplace for those eager to drive data-driven decisions in a fast-paced environment.
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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 latest trends in the creator economy and how data analytics can drive growth. Understanding the nuances of this industry will help you speak confidently about how your skills can contribute to Fanvue's mission.

✨Tip Number 2

Brush up on your SQL and Python skills, especially focusing on querying complex datasets and performing deeper analyses. Being able to demonstrate your technical prowess during discussions will set you apart from other candidates.

✨Tip Number 3

Prepare to discuss specific examples of A/B testing you've conducted in the past. Highlight how your insights led to actionable changes and improved outcomes, as this aligns perfectly with the responsibilities of the role.

✨Tip Number 4

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

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 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly focusing on your SQL and Python skills. Mention any previous roles where you conducted A/B testing or worked with SaaS product analytics.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Fanvue and how your background aligns with their mission. Highlight specific examples of how you've driven growth through data insights in past positions.

Showcase Your Analytical Skills: Include examples of past projects where you used data to uncover insights or drive decision-making. If possible, quantify your achievements to demonstrate the impact of your work.

Prepare for Technical Questions: Be ready to discuss your experience with SQL and Python during the interview process. Prepare to explain your approach to A/B testing and how you've used data to inform business strategies.

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 this 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 Your SQL Proficiency

As advanced SQL skills are a must-have, practice querying complex datasets before the interview. You might be asked to solve a problem or analyse a dataset on the spot, so being comfortable with SQL will give you an edge.

✨Emphasise Collaboration and Ownership

Fanvue values team collaboration and ownership. Share examples of how you've worked cross-functionally in the past and how you took initiative to drive projects forward, especially in fast-paced environments.

Data Analyst (Growth Hacking)
fanvue
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  • Data Analyst (Growth Hacking)

    Sheffield
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-06-22

  • F

    fanvue

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