Senior Growth Analyst

Senior Growth Analyst

Full-Time 50000 - 70000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Bridge data and marketing to identify and nurture high-potential sellers.
  • Company: Join Paddle, a forward-thinking tech company focused on growth and inclusivity.
  • Benefits: Flexible work environment, competitive salary, and opportunities for professional development.
  • Other info: Inclusive culture that values diverse perspectives and encourages all applicants.
  • Why this job: Make a real impact by driving growth through data-driven insights and experimentation.
  • Qualifications: Experience in SQL, dbt, Snowflake, and a passion for analytics and marketing funnels.

The predicted salary is between 50000 - 70000 £ per year.

Paddle's Self-Serve funnel is our primary distribution engine, representing 80% of our seller base. As we scale top-of-funnel volume rapidly, the challenge is no longer attracting sign-ups — it's identifying and fast-tracking the founders most likely to grow with us. As our dedicated Growth Analyst, you'll be the foundational hire bridging data and marketing to help us find and nurture commercially ready sellers faster.

What you'll do:

  • Establish funnel integrity: Build and maintain our core growth data models in Snowflake (via dbt) to establish a 'single source of truth' for the business. You will instrument end-to-end tracking—from the first ad click to the first dollar of revenue—eliminating data silos and ensuring high-fidelity reporting across every stage of the self-serve funnel.
  • Track the full journey: Activate data by pushing it from Snowflake into other operational tools. Partner with the Web, Product and Engineering teams to build end-to-end tracking - following a user from their first click on an ad or website, through signup, all the way to their first dollar of revenue.
  • Measure experimentation outcomes: Own the data behind our growth experiments. You’ll define what success looks like, track how changes to the product or marketing impact user behaviour, and tell us which tests we should scale.
  • Identify Growth Levers: Group sign-ups by intent and behaviour so we can build better onboarding paths for different types of users.
  • Audit Marketing ROI: Figure out which acquisition sources (Search, Social, Direct, etc.) bring in the most valuable customers compared to what we spend to get them.
  • Forecast Long-Term Growth: Partner with Finance to monitor how our self-serve customers grow over several years to help us accurately predict future revenue and profitability.

We'd love to hear from you if you are:

  • A strong analytics engineer with hands‑on experience in SQL, dbt, and Snowflake, and the ability to build reliable data models that teams across marketing and growth can depend on.
  • Analytically rigorous and Python‑fluent, with experience designing and evaluating experiments, applying statistical methods, and using tools like Omni, Tableau, or Looker to turn analysis into clear, self‑serve insights.
  • Deeply familiar with marketing and PLG funnels — from first ad click to first dollar of revenue — with experience in attribution modelling, user segmentation, and identifying the behavioural signals that predict long‑term seller value.
  • Commercially minded and curious, motivated by business outcomes as much as analytical craft — you connect data findings to acquisition cost, revenue impact, and growth levers, and you communicate them in ways that move stakeholders to action.
  • Biased toward pragmatic experimentation, proving value with lightweight tests before advocating for larger investments, and comfortable operating with autonomy in a fast‑moving environment.

Everyone is welcome at Paddle

At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group.

Senior Growth Analyst employer: paddle.com

Paddle is an exceptional employer that fosters a culture of inclusivity and innovation, making it an ideal place for a Senior Growth Analyst to thrive. With a commitment to employee growth and development, Paddle offers opportunities to work with cutting-edge data tools and collaborate across teams in a fast-paced environment. The company's focus on removing barriers and celebrating diverse perspectives ensures that every team member can contribute meaningfully while enjoying a supportive and dynamic workplace.
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Contact Detail:

paddle.com Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Growth Analyst

✨Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your analytical prowess. This is your chance to demonstrate what you can do beyond the CV.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios related to growth analytics. We want to see how you think, so be ready to share your thought process!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.

We think you need these skills to ace Senior Growth Analyst

SQL
dbt
Snowflake
Data Modelling
Python
Statistical Methods
Experiment Design
Attribution Modelling
User Segmentation
Behavioural Analysis
Marketing ROI Analysis
Data Visualisation (Omni, Tableau, Looker)
Analytical Rigor
Commercial Awareness
Pragmatic Experimentation

Some tips for your application 🫡

Show Your Analytical Skills: Make sure to highlight your experience with SQL, dbt, and Snowflake in your application. We want to see how you've built reliable data models and how they’ve impacted growth in previous roles.

Connect Data to Business Outcomes: When writing your application, don’t just list your skills. Tell us how your analytical findings have driven business decisions or improved marketing strategies. We love seeing that connection!

Be Pragmatic About Experimentation: Share examples of how you’ve approached experimentation in your past work. We’re looking for candidates who can prove value through lightweight tests before pushing for bigger investments.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting role!

How to prepare for a job interview at paddle.com

✨Know Your Data Tools

Make sure you brush up on your SQL, dbt, and Snowflake skills. Be ready to discuss how you've used these tools in past projects, especially in building reliable data models. It’s all about showing that you can create a 'single source of truth' for the business.

✨Understand the Growth Funnel

Familiarise yourself with marketing and PLG funnels from the first ad click to revenue generation. Be prepared to share examples of how you've tracked user journeys and measured outcomes in previous roles. This will demonstrate your analytical rigor and understanding of growth levers.

✨Show Your Experimentation Mindset

Paddle values pragmatic experimentation, so come armed with examples of lightweight tests you've conducted. Discuss how you defined success, tracked changes, and what insights you derived from those experiments. This will highlight your ability to connect data findings to business outcomes.

✨Communicate Clearly

Practice explaining complex data insights in simple terms. You’ll need to convey your findings to stakeholders who may not have a technical background. Think about how you can turn your analysis into actionable recommendations that drive decision-making.

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