Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform business questions into data insights and create impactful reporting dashboards.
- Company: Join Fussy, a mission-driven brand fighting single-use plastic in personal care.
- Benefits: Generous salary, hybrid work, 33 days leave, and wellness perks.
- Other info: Exciting growth phase with opportunities to innovate and make a difference.
- Why this job: Be a data champion and help save the planet while growing your career.
- Qualifications: 2-3 years in Data Analysis, proficiency in BI tools, and strong stakeholder management.
The predicted salary is between 40000 - 50000 £ per year.
About Fussy
We’re Fussy…about everything in our mission to banish single‑use plastic from your bathroom. Having experienced exceptional growth over the past four years, we are now looking for a talented individual to join the team as Data Analyst. You’ll report to Mary, our Finance Director and work together to support and empower users across the business to use data to unlock insights. This is an exciting opportunity to join a scale‑up through a significant period of growth. You’ll be a trusted partner to the leadership team and a champion for data‑led decision making!
About the role
- Embedded with teams (Growth, Marketing, Ops) to understand their goals and translate business questions into technical data requirements and analysis.
- Design, develop and maintain reporting dashboards to track key business KPIs (Experience with DTC/E‑commerce metrics: LTV, CAC, Retention Cohorts, and Attribution models).
- Becoming an expert on our data and visualisation tool and using your knowledge to upskill others.
- Own, maintain and improve our data stack alongside our analytics engineer.
- Ensure the reliability and integrity of our data across all touch points, keeping data flowing to all business users.
- Working with department leads to define and standardize KPIs, ensuring everyone is looking at a Single Source of Truth.
- While your primary focus will be on delivery and stakeholder alignment, you will work closely with our analytics engineer to contribute to our modern data stack, leveling up your technical stack toward Analytics Engineering.
About you
We’re big believers that great talent comes in all shapes, sizes and CVs. So if you’re excited by our mission, we want to hear from you. That said, we think you’ll smash this role if you bring the following skills:
Essential- At least 2–3 years experience in a dedicated Data or BI Analyst role, ideally within e‑commerce, DTC, or omni‑channel businesses.
- BI Tool Proficiency: (We use ThoughtSpot) Advanced experience with modern BI platforms (e.g., Looker/Look ML, ThoughtSpot, Tableau). You should know how to build more than just "pretty charts"—you will need to build functional, interactive tools.
- Stakeholder Management: Proven track record of translating vague business questions into concrete data requirements and KPIs.
- Commercial curiosity with the ability to link data insights to business outcomes.
- Excel/Google Sheets: Still a staple for quick‑turnaround ad‑hoc analysis.
- SQL: Familiar using SQL to analyse data and draw insights.
- Cloud Data Warehousing: Familiarity with one of Snowflake, BigQuery, or Redshift.
- Analytics Engineering Exposure: Basic understanding of dbt or version control (Git).
- The Modern Data Stack (MDS): Awareness of how data moves from source to warehouse to BI (Fivetran, Airbyte, etc.).
What we offer
- A chance to say you helped save the planet, and smelt great doing it!
- A generous salary depending on experience.
- Hybrid working with Tuesdays, Wednesdays and Thursdays in our Central London office.
- 33 days annual leave including flexible bank holidays + a day off for your birthday – we encourage you to take time off to switch off, rest and recharge.
- Our WellHub membership with a range of fitness & wellbeing options – we care about our team’s wellness, from physical to mental health.
- Share options after probation – we grow, you grow.
Who we are
Fussy are on a mission to banish single‑use plastic from the bathroom by designing simple, effective and convenient personal care products that are backed by science not buzzwords. Our first product, a refillable deodorant, is now the UK’s top‑rated natural deodorant and has blessed the armpits of everyone from Holly Willoughby to some very known Dragons’. We have put in place the foundations of a world‑class team of employees and advisors and this is a super exciting time to join as we are now looking to accelerate our growth into new products and territories. We as a brand have the responsibility, consumers have the power and it’s only together we can do this. Power to your pits!
Senior Data Analyst employer: Fussy
Contact Detail:
Fussy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Fussy on LinkedIn or other platforms. Ask them about their experiences and the company culture. This not only shows your interest but can also give you insider info that might help you stand out in interviews.
✨Tip Number 2
Prepare for the interview by brushing up on your data skills. Since you'll be working with BI tools like ThoughtSpot, make sure you can talk confidently about your experience and how you've used data to drive business decisions. Practice explaining complex data concepts in simple terms!
✨Tip Number 3
Show your passion for sustainability! Fussy is all about banning single-use plastic, so be ready to discuss how your values align with their mission. Share any relevant projects or initiatives you've been involved in that demonstrate your commitment to the environment.
✨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, it shows you’re serious about joining the Fussy team. Good luck, and let’s smash this together!
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Show Your Passion: When you write your application, let your enthusiasm for Fussy's mission shine through! We love seeing candidates who are genuinely excited about banishing single-use plastic and making a positive impact.
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, especially within e-commerce or DTC environments. We want to see how your skills align with the role, so don’t be shy about showcasing your BI tool proficiency!
Be Specific: In your cover letter, provide concrete examples of how you've translated business questions into actionable data insights. We appreciate clarity and detail, so don’t hold back on sharing your success stories!
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 opportunity to join our growing team!
How to prepare for a job interview at Fussy
✨Know Your Data Inside Out
Before the interview, dive deep into Fussy's mission and how data plays a role in their growth. Familiarise yourself with key metrics like LTV, CAC, and retention cohorts. Being able to discuss how these metrics impact decision-making will show your commercial curiosity and understanding of the business.
✨Showcase Your BI Tool Skills
Since Fussy uses ThoughtSpot, brush up on your skills with this platform or similar BI tools. Prepare to discuss specific examples of how you've built functional, interactive dashboards in the past. This will demonstrate your ability to translate business questions into actionable insights.
✨Prepare for Stakeholder Scenarios
Think of examples where you've successfully managed stakeholder expectations and translated vague questions into concrete data requirements. Be ready to share how you ensured everyone was aligned on KPIs and maintained a Single Source of Truth across teams.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in Fussy’s data strategy. Inquire about their current data stack, how they measure success, or what challenges they face in data management. This not only shows your enthusiasm but also your analytical mindset.