At a Glance
- Tasks: Analyse data to optimise website performance and enhance customer experience.
- Company: Join Missoma, a leading jewellery brand that values self-expression and sustainability.
- Benefits: Enjoy generous discounts, hybrid working, healthcare support, and fun team events.
- Other info: Collaborative culture where every voice matters and creativity is encouraged.
- Why this job: Make a real impact on how millions experience our brand through data-driven insights.
- Qualifications: Five years in digital analytics with strong skills in A/B testing and data interpretation.
The predicted salary is between 40500 - 49500 £ per year.
At Missoma, we believe jewellery is more than just an accessory, it's a form of self-expression. Founded in 2007 by Marisa Hordern, we've grown into a globally recognised brand known for our demi-fine and solid gold pieces, all designed in-house at our London studio and crafted with care.
We're looking for a sharp, commercially minded analyst who's as comfortable in a spreadsheet as they are in a strategy meeting. If you love turning data into decisions, thrive on optimisation, and want your insight to directly shape how millions of customers experience our website, we'd love to hear from you.
Why you'll love working with us
- Authentic: We value honesty, open feedback, and conscious sustainability. You'll be part of a team that genuinely cares about people and the planet.
- Collaborative: Every voice matters. We foster inclusivity, creativity, and fun, working together to innovate and grow.
- Entrepreneurial: We think big and act boldly. You'll be encouraged to bring ideas, take initiative, and make a real impact.
Your role as digital & customer analyst
You'll be a key player in our Growth team, spearheading the optimisation of our website performance and the health of our customer database. Reporting to our Chief Growth Officer, you'll manage strategic partnerships with CRO agencies and own our ecommerce testing and measurement tools, using your commercial acumen and analytical prowess to provide the insights that drive profitable growth.
What you'll be doing
- Create, monitor, and report on ecommerce tracking, building dashboards that reveal website performance, customer behaviour, and sales trends.
- Devise and run A/B tests with our eCommerce Manager and external agencies, optimising conversion, AOV, and the wider customer experience.
- Turn test results into clear insights and recommendations, feeding data-driven thinking into our website and frontend development roadmap.
- Build and monitor customer cohorts to understand behaviour, lifecycle stages, and churn, and share journey and channel insights with our Performance Marketing team.
- Partner with our CRM team on test plans that boost customer retention, engagement, and lifetime value.
What you'll bring
- Minimum of five years' proven experience in digital analytics, customer lifecycle analysis, and A/B testing.
- Strong analytical skills, with the ability to interpret complex data sets and turn them into actionable insight.
- Proficiency in analytics tools and platforms such as Google Analytics, Content Square, Tableau, or Power BI.
- Hands-on experience with A/B testing tools and methodologies.
- Excellent organisational and project management skills, with the confidence to work independently and collaboratively in a fast-paced environment.
What you'll get
- Generous staff discount across our products and experiences.
- Hybrid working model with flexible hours at our West London HQ.
- Healthcare cash plan to support everyday wellbeing.
- Enhanced parental leave after two years of service.
- Annual paid volunteer day to give back to causes you care about.
- Monthly team socials and events.
- Access to cycle and tech schemes with easy monthly payments.
Digital & Customer Analyst in London employer: MISSOMA
At MISSOMA, we pride ourselves on fostering a vibrant and inclusive work culture that values creativity and collaboration. As a Customer Care Advocate, you'll enjoy flexible working hours and the opportunity to grow within a dynamic team, all while being part of a renowned London-based brand that prioritises employee well-being and offers generous staff discounts. Join us to make a meaningful impact in delivering exceptional customer service in the world of demi-fine jewellery.
StudySmarter Expert Advice🤫
We think this is how you could land Digital & Customer Analyst in London
✨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 MISSOMA!
✨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 Digital & Customer Analyst at MISSOMA.
✨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 MISSOMA.
✨Apply Directly through Our Website
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We think you need these skills to ace Digital & Customer Analyst in London
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 MISSOMA, 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 MISSOMA. 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 MISSOMA
✨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 MISSOMA!
✨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.
