At a Glance
- Tasks: Own the experimentation engine for a $1B e-commerce brand's growth decisions.
- Company: Join Puffy, a top US mattress brand with over $1 billion in sales.
- Benefits: Up to $118,750 annual package, remote work, and comprehensive benefits.
- Other info: Fast career progression and access to cutting-edge AI tools.
- Why this job: Make impactful recommendations that drive real business growth.
- Qualifications: 3+ years in data analysis, strong SQL and Python skills required.
The predicted salary is between 42750 - 52250 £ per year.
Own the experimentation engine behind a $1Billion+ e-commerce brand's growth decisions.
Total Annual Package: Up to USD $118,750 + comprehensive benefits (Base salary + monthly performance bonus of up to 25% of base)
Location: Remote (Global)
Growth path from here is: Senior Data Analyst → Analytics Engineer. Career progression that takes 4-5 years elsewhere can happen in 1-2 years here for high performers.
We've been AI-first since December 2023: You'll use agentic AI workflows to accelerate analysis and refine your analytical output. You remain accountable for validating the findings and turning them into clear business recommendations.
Role Overview:
Puffy, a market-leading, nine-figure D2C brand and Top 5 US mattress brand with over $1Billion in sales, is hiring a Data Analyst to own its experimentation program, covering test design, statistical analysis, funnel diagnosis and data pipelines, reporting directly to the Analytics Manager. This role exists to turn raw customer and acquisition data into clear recommendations that Marketing, UX and Development can act on the same week.
The Problems You'll Own:
- Primary: Turn test results into growth decisions: Experiment results need to explain what worked, what did not and why across devices, traffic sources and customer-journey steps. The challenge is separating meaningful findings from noise and turning them into recommendations that Marketing, UX and Development can act on.
- Secondary: Connect the evidence without slowing decisions: The acquisition-to-conversion picture spans Shopify, GA4, Google Ads, Meta and BigQuery. Independent analysis depends on connected source data and validated outputs rather than pre-built dashboards alone. The challenge is keeping that evidence usable and reliable as analytical output scales.
The Career Accelerator:
This is not a role where you manage dashboards and pass the analysis to someone else. The scope is scarce: You'll work across test design, statistical analysis, funnel diagnosis and your own data pipelines, with direct access to the Analytics Manager. You pull the data yourself and remain accountable for the quality of your recommendations.
Your first 12 months:
- Analyze A/B tests end to end, explaining what worked, what did not and why.
- Prioritize hypotheses by impact and define test briefs, success criteria and sample sizes upfront.
- Turn findings into site changes, campaign adjustments and creative decisions with Marketing, UX and Development.
- Map journeys across devices and traffic sources to identify friction and conversion leaks.
- Connect Google Ads and Meta data to the acquisition-to-conversion funnel.
- Use SQL and Python against raw event data to investigate performance by segment, device, source and journey step.
- Build and maintain pipelines across Shopify, GA4, Google Ads and BigQuery without waiting on another team for your data.
- Direct and validate agentic AI workflows to scale your analytical output.
- Contribute early and deliver recommendations the business can act on the same week.
- Shape how experimentation informs growth decisions at Puffy.
What Is In It For You:
This isn't just another data analysis role. This is your chance to become a true industry architect.
- 1. Own the Experiment from Question to Recommendation: You design the test, pull the data and own the analytical recommendation. You map customer journeys, investigate performance in SQL and Python, and connect Google Ads and Meta data to on-site behavior. You build and maintain your own pipelines across Shopify, GA4, Google Ads and BigQuery without waiting on another team for the data you need. You design hypotheses, define success criteria and sample sizes, analyze A/B tests and translate findings into usable recommendations. You direct and validate agentic AI workflows, reporting directly to the Analytics Manager and collaborating with Marketing, UX and Development.
- 2. Join a High-Performance Organization and Partner with the 1%: Puffy: Top 5 Mattress Brand in US with Over $1Billion USD in Sales. Join an AI-first organization led by a Forbes Council Member CEO. Gain firsthand exposure to strategic decisions and high-velocity execution that drives a global brand.
- 3. Embrace Radical Flexibility: Work from anywhere in the world with meaningful time zone overlap. Structure your environment around your best thinking, whether that's a home office, a co-working space, or our Dubai headquarters (with full relocation, visa support, and 0% income tax if you choose). Your output is your credential, not your location.
- 4. Become the Person Who Knows Why Things Convert: In most companies, analysts report numbers. Here, you're the person who tells the business what to change and why. When a test wins or loses, your analysis is the reason leadership moves. You'll build the instinct to separate signal from noise across segments, devices, and traffic sources — and the communication skills to make non-technical stakeholders act on what you find.
What You'll Need:
- 3+ years in data analysis, experimentation, or CRO within e-commerce, D2C, or any high-traffic transactional website (fintech, marketplaces, SaaS, banking).
- Strong SQL - complex joins, window functions, CTEs across large datasets without relying on pre-built dashboards.
- Working Python (or R) for data manipulation, statistical analysis, and automation.
- Proven A/B testing experience - hypothesis design through statistical analysis to business recommendation; solid grasp of sample sizing, significance thresholds, and common pitfalls.
- Hands-on GA4 experience - event-based tracking, custom explorations, and the ability to tie GA4 data to other sources.
- Experience integrating ad platform data (Google Ads, Meta) with site analytics to see the full acquisition-to-conversion funnel.
- Ability to independently connect to and pull from multiple data sources (APIs, warehouses, flat files) without engineering support.
- Sharp analytical communication - complex findings distilled into concise recommendations for non-technical stakeholders.
- Proactive and curious - you spot testing opportunities and chase root causes before anyone asks.
- Must be willing to work extended hours and weekends as needed.
Good-to-Have:
- Experience with BigQuery or AWS data warehousing, including scheduled queries and data modeling.
- Familiarity with session replay and heatmap tools (FullStory, Hotjar) for qualitative behavioral analysis.
- Background in Looker, Tableau, or similar dashboarding tools.
Resources Provided:
You’ll have access to our latest company-provided AI tools, including ChatGPT and Claude, multiple AI agents, bots, plugins, AI projects, and automations through platforms such as n8n. You’ll also receive the department tools, relevant data, assets and specialist support needed to deliver your work. We expect you to use these resources to automate routine work and deliver high-quality results quickly.
The Puffy DNA:
- We're restless, perpetually hungry, and fast-paced, driven by an unwavering belief that we can outperform any competitor, regardless of their size.
- Be the Owner: We don't hire employees; we welcome owners. You're accountable for results, not activity.
- Execute with Urgency: We thrive in high-stakes environments by making thoughtful decisions quickly and acting decisively.
- Demand Excellence: We solve the hard problems that others can't, pushing the boundaries of our craft.
- Be AI-First: Daily multi-turn AI conversations challenge your assumptions.
- Go All-In: When the mission demands it, we rally as one team to cross the finish line.
Compensation:
Total Annual Package: Up to USD $118,750 + comprehensive benefits (Base salary + monthly performance bonus of up to 25% of base)
Annual salary review every January
Health & Protection: Comprehensive medical, dental, and vision insurance (based on country of hire)
AI-First organization with access to AI-native tool stack
Remote First: Work from the comfort of your home office
International team collaboration across 16+ nationalities. Your assumptions get challenged daily.
Eligibility for selection to the Leaders Club, an elite recognition program featuring premium wellness memberships, exclusive networking with senior leadership, and annual leadership retreats.
Eligibility for nomination as 'We Are' Champion of the Month, monthly recognition with gift vouchers and company-wide celebration for exceptional contributions.
Data Analyst in Manchester employer: Puffy
Puffy is an exceptional employer that empowers its employees to take ownership of their work, particularly in the innovative role of AI-First UI/UX Design Manager. With a commitment to radical flexibility, you can work remotely or from our Dubai office, enjoying 0% income tax and comprehensive benefits, while rapidly advancing your career in a high-performance environment that values your vision and contributions. Join a diverse international team and shape the future of web design for a $1 billion brand, where your impact is directly linked to the company's success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Puffy!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Puffy.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Puffy.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Puffy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Puffy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Puffy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Puffy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Puffy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.