At a Glance
- Tasks: Analyse data to optimise digital platforms and enhance user experiences.
- Company: Join schuh, a diverse and inclusive ecommerce leader.
- Benefits: Enjoy discounts, flexible hours, and a supportive work environment.
- Other info: Hybrid working model with excellent growth opportunities.
- Why this job: Kickstart your career in data analysis with hands-on training and real impact.
- Qualifications: Passion for data and eagerness to learn; no prior experience needed.
The predicted salary is between 25000 - 32000 £ per year.
Location: Livingston, Scotland (Hybrid - 2 days in office per week)
Department: Digital
Reports To: Senior CRO Analyst
Employment Type: Full-time
About the Role: We’re looking for a data-driven and detail-oriented Junior Conversion Rate Optimisation (CRO) Analyst to join our digital team. You’ll play a key role in using data to identify conversion opportunities across our digital platforms to support the planning, executing and analysis of A/B tests, and providing actionable insights using tools such as Google Analytics 4 (GA4) and ContentSquare. This role is ideal for someone who thrives at the intersection of data, user experience, and experimentation — someone who can translate user behaviour insights into optimisation strategies that enhance engagement and drive measurable business results. As this is a junior role, you do not need to have previous experience in a similar role. A training package will be provided to upskill you in all areas of the job and you’ll learn from other skilled, experienced analysts. If you’re data-driven looking for an opportunity to work within an exciting ecommerce team, this could be the role for you!
Key Responsibilities:
- Use analytical and behavioural tools alongside customer feedback to monitor performance of schuh’s digital touchpoints to understand user behaviour, and identify optimisation opportunities in the customer journey.
- Create test hypotheses based on qualitative and quantitative data, working closely with UX, design, and IT teams to bring experiments to life.
- Present findings and recommendations to stakeholders, translating data into clear, actionable insights.
- Maintain documentation of experiments, learnings, and testing frameworks.
Requirements:
- Strong interest in data, analytics, and improving online customer experiences.
- Naturally curious and eager to learn, with a proactive approach to developing new skills.
- Comfortable working with numbers and drawing insights from data (e.g. Excel, Google Sheets, or similar).
- Basic understanding of ecommerce or digital marketing concepts (e.g. customer journeys, conversion funnels).
- Good problem-solving skills with the ability to think critically and ask insightful questions.
- Clear communication skills, with the ability to explain ideas and findings in a simple, structured way.
About the perks/benefits:
- Up to 40% product discount for you and your loved ones.
- Up to 28 days holiday (including bank holidays) PLUS your birthday off to celebrate you.
- Flexible working hours and hybrid working options.
- Perk platform for hundreds of discounts.
- Manage, save and access your wages as you earn them to get paid your way.
- Employee assistance programme to support your wellbeing through resources, helplines and Virtual GP services.
- A pension scheme to help you save for the future.
- Development and progression opportunities across stores and Head Office.
- A paid volunteering day and opportunities to be a part of our company Purpose Groups.
About schuh: At schuh we are the ‘Same but different’. By embracing diversity and promoting inclusivity, we aim to empower our people to be fiercely and unapologetically themselves. This means you will support our commitment to diversity, equality and inclusion, and ensure that colleagues and customers from all backgrounds, beliefs and communities are treated fairly. We are committed to providing reasonable adjustments to support disabilities or health conditions. Please let our talent team know of any adjustments needed during the hiring process. Our Talent Acquisition Team will work as quickly as possible to review your application. In the meantime, if you have any questions or would like any additional information at all, please contact talent@schuh.co.uk.
CRO Analyst employer: Schuh
SCHUH is an excellent employer, offering a vibrant work culture in Belfast where diversity and inclusion are at the forefront. Employees enjoy generous benefits such as up to 40% discount on products, flexible working hours, and ample holiday time, alongside comprehensive training and growth opportunities that empower them to thrive in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land CRO Analyst
✨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 Schuh!
✨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 CRO Analyst at Schuh.
✨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 Schuh.
✨Apply Directly through Our Website
When you find a suitable opening like CRO Analyst at Schuh, 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 CRO Analyst
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 Schuh, 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 Schuh. 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 Schuh
✨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 Schuh!
✨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.
