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Paddle

Staff Insights Analyst

United Kingdom
Posted 22 days ago
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What do we do?

Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better.

We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 6000 software sellers in 245 territories globally.

The Role

As a Staff Insights Analyst, you'll be a senior individual contributor at the heart of Paddle's decision-making. You'll own the end-to-end process of turning complex, cross-functional data into clear commercial recommendations that shape how we grow. Working across product, sales, marketing, and finance, you'll uncover the root causes of business challenges, model the financial impact of potential actions, and present your findings directly to senior leadership, including the exec team.

This is a high-autonomy role for someone who thinks like an owner, is comfortable with ambiguity, and can move fluidly between rigorous quantitative analysis and compelling narrative.

What you'll do

  • Own insight projects end-to-end, from framing the right question to delivering a clear, actionable recommendation.
  • Use quantitative and qualitative data to identify root causes of commercial problems and opportunities.
  • Partner with product, sales, marketing, and finance to drive analysis that moves the needle.
  • Partner with Finance to model the impact of strategic options and quantify trade-offs.
  • Translate findings into well-evidenced business cases compelling to a finance-literate audience.
  • Extract and manipulate datasets from Snowflake using SQL.
  • Apply statistical methods to draw defensible conclusions and use LLMs to interpret unstructured data.
  • Present recommendations to senior stakeholders, including the exec team, in a clear and compelling way.
  • Act as a trusted thought partner to business leaders, helping them frame problems and stress-test assumptions.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

We'd love to hear from you

  • Are commercially minded, you think in revenue and margin terms and can quickly find the financial'so what'. An entrepreneurial or consulting background is a plus.
  • Have a broad understanding of a SaaS business across product, sales, marketing, and finance.
  • Can build data-driven narratives that are easy for executives to act on.
  • Are proficient in SQL and statistics, and have used LLMs in real analytical workflows.
  • Has deep experience in an analytics, strategy, or insights role at a high-growth tech company. Payments or financial services experience is a bonus.

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.

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Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together.

Our Values

  • Paddle Together - “None of us, is as smart as all of us”
  • Paddle Simply - “Simple can be harder than complex: you have to get your thinking clean to make it simple”
  • Paddle for others - “We can realise our wildest dreams, so long as we help enough other people to realise theirs”

Why you’ll love working at Paddle

We are a diverse, growing group of Paddlers across the globe who pride ourselves on our transparent, collaborative and respectful culture.

We are a ‘digital-first’ company, which means you can work remotely, from one of our stylish hubs, or even a bit of both! We offer all team members unlimited holidays and 4 months paid family leave regardless of gender. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

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Skills

SQL
Statistics
Data Analysis
Financial Modeling
Commercial Insight
Problem Solving
Data Manipulation
Statistical Methods
Narrative Building
Cross-Functional Collaboration
LLMs
SaaS Understanding
Entrepreneurial Mindset
Consulting Background
Business Case Development
Root Cause Analysis

Location

United Kingdom

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