Hi, we’re Bloom & Wild. We don’t just send flowers. We help our customers to care wildly. Caring wildly is celebrating the little things we all do for each other every day. Not just the big occasions. It’s being there for the highs. Stepping up for the lows.
We care wildly about people and our planet. Which is why we’re so proud to be a certified B Corp™ – committed to making long-term positive change for our community, and the world around us.
Founded in 2013, our mission back then was to make sending and receiving flowers the joy that it should be, by harnessing technology, brand and letterbox delivery. We announced £75 million Series D funding in 2021 and that same year acquired bloomon in The Netherlands and Bergamotte in France. Together, we’ve fulfilled and delivered over 20 million orders (and counting!), making us the largest direct to consumer flower business in Europe.
Now home to a family of 3 beautiful brands, we’re driven by our vision to create the destination for making life a little more thoughtful and beautiful. And we won't stop at flowers and plants. Starting with the Bloom & Wild brand, we're expanding our gifting offering to other categories like cakes, candles and cocktails. This is all part of our ambition to build Europe's #1 direct to consumer gifting destination.
The product analytics team
Data sits at the heart of what we do at Bloom & Wild. Our Product Analytics team empowers product growth by transforming data into actionable insights. We're passionate about understanding user behavior and identifying opportunities. Collaborating with product managers, designers, researchers, and developers, we fuel product strategy and iteration across the entire product lifecycle, from initial research to ongoing optimisation. We leverage SQL, data visualisation, and rigorous experimentation to uncover trends, predict user needs, and test hypotheses. We've driven the design and launch of the first rewards membership scheme from the ground up with data, constantly evaluating users' needs to optimise flower subscription service and gifting flow to create a truly customer-first experience. We believe data drives positive change and empowers informed decisions. We value collaboration, continuous learning, and a data-driven mindset.
What you’ll be doing
- Collaborate with product stakeholders including product managers, designers, customer research, developers to define product roadmaps and drive product improvements.
- Design, execute, and analyse experimentation to optimize and drive growth on gifting and shopping experience.
- Demonstrate a strong ability to define key metrics for experiments during product iteration and determine how to monitor their long-term impact.
- Proactively develop in-depth discovery analysis to uncover the opportunities and challenges behind existing users experience on various domains (acquisition & discovery, checkout & payment, subscription & retention and apps).
- Build and maintain self-service reporting dashboards (Tableau) and tools for stakeholders.
- Understand analytics engineering (we use dbt) and utilise the skills to support data extraction and manipulation for cross-functional projects.
- Deliver robust, easy-to-understand analysis and recommendations for both technical and non-technical audiences.
- Work closely with business functions (e.g. marketing and commercial teams) to address performance challenges and proactively identify opportunities for growth/improvement from a product data perspective.
- Work with different BI&A specialists (Business Intelligence & Analytics) and support BAU (Business As Usual) requests, including those from Marketing, Commercial, Finance, Operations, and Range teams.
- Familiar with and maximize the potential of product analytics/experimentation tools and its data (e.g. Heap, Optimizely etc.) and design key custom events to help stakeholders track correct behaviour data.
- Embrace a fast-paced environment - We work and adapt quickly, which provides ample opportunities to learn and contribute to a wide variety of projects.
You’ll love this role if you
- Communication & relationship management - you have collaborative style that enables you to work with a range of different people and teams and allows for open and inclusive discussion.
- Delivering insights: Proactive - you take responsibility and initiative to get things done, are willing to roll up your sleeves get stuck in.
- Stakeholder management - You love to collaborate, and are at your best when working cross functionally to build a strong rapport with stakeholders.
- Curiosity & Teamwork - You value diversity and inclusion, and you're eager to learn about different data domains and collaborate with the wider BI & Analytics team.
- Problem analysis - You’re excited about problem-solving and love to take a logical, collaborative, and hypothesis-led approach to finding solutions.
- Decision making - You're a data-driven decision-maker who leverages insights to drive impact and accelerate business growth
We’re looking for
Must haves
- 1 year experience working in data/analytics role.
- Proficiency in SQL with regular hands-on experience (Mandatory).
- Proven track record of creating actionable insights to drive business performance.
- Ability to contribute to the definition of analytical problems and the development of methodologies.
- Excellent communication skills & ability to work with multiple stakeholders and cross-functional teams.
- Proactive team member - you take ownership and get stuck in, and you're able to balance multiple projects and priorities.
- Empathetic decision maker - you put customers first and seek to understand what will work for them.
- Experimentation mindset - you're hypothesis-led and focused on proving impact through testing.
Nice to haves
- E-commerce experience is a big plus.
- Experience using data visualisation tools such as Tableau, Looker or Periscope.
- Experience using product analytics or experimentation tools to analyse customer journeys e.g. Heap, VWO, Optimizely, Mixpanel, ContentSquare, Amplitude, Hotjar, Google Analytics etc.
- Understand the custom event design concept and communicate with developers with the requirement.
- Intermediate ability of Excel/Google Sheets.
- Understanding of statistical and experimentation principles (optimisation, regression, predictive modelling, machine learning)
Belonging at Bloom & Wild
We know that we learn through our differences, and building a diverse team has always been central to creating the best experience for our customers. We value all backgrounds, perspectives, ideas and experiences, and encourage everyone to share their opinions openly within our caring and inclusive team. Our champions community actively advances our culture of inclusion and belonging, which is organised around 8 pillars of diversity. These cross-business networks offer additional opportunities for connection, education, support and celebration, and ensure that inclusivity continues to be embedded in our ways of working.
