Junior Analyst

Superdrug
Croydon
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Quality & Governance Analyst

Junior Data Analyst

Data Analyst

MI/Data Analyst

Data Analysts

Business Analyst - Senior Consultant

Why Superdrug?

Passionate about Beauty and Health? Want to be part of an innovative, trend setting retailer? Our vibrant Head Office, based by East Croydon station is a fantastic environment filled with hundreds of brilliant personalities.
We’re a team that puts our customers and our teams at the heart of everything we do. At Superdrug, we aim to be the best in accessible health & beauty, loved by our customers for value, choice, friendly advice, service and fun.

Our success comes from our people – they make the difference. We’re all about personality, we have fun, and we work hard to deliver That Superdrug feeling.

Here's the exciting bit…a day include

Reports to:
CRO & Analytics Manager


Overview:

We’re looking for a curious and proactive Junior Digital Analyst to join the Superdrug Online Business team. This is a fantastic opportunity for someone with strong analytical skills and a passion for ecommerce to grow within a fast-paced digital environment.
The ideal candidate will have experience in SQL and Power BI, and a keen interest in expanding their skills across SEO and broader digital performance. You’ll support the Analytics team with reporting and insights while helping to drive site optimisation initiatives through collaboration with internal teams and external partners.


Key Responsibilities:

Support the CRO & Analytics Manager with reporting, dashboard development, and ad hoc analysis
Build and maintain reports using Power BI, SQL, and other tools to track site performance and key KPIs
Collaborate with the SEO agency to execute and monitor SEO updates across the website
Coordinate with Trading, UX, and Content teams to ensure SEO initiatives are implemented correctly and efficiently
Support tracking of errors, user friction points, and conversion drop-offs using behavioural tools
Help monitor the performance of Design features and site changes to feed into continuous improvement plans
Assist in maintaining data quality and integrity across reporting systems
Stay up to date with the latest SEO trends and tools, and be open to learning new platforms and methods


Skills & Experience Required:

Solid working knowledge of SQL and Power BI
Strong analytical mindset with the ability to interpret complex data and present actionable insights
Interest in SEO performance and eagerness to learn technical and content-based optimisation techniques
Excellent attention to detail and comfort working with data at scale
Good communication skills and the ability to work collaboratively across teams
Self-motivated, organised, and willing to take initiative


Desirable:

 Experience working with BigQuery or similar data warehouse platforms
Familiarity with Google Analytics, Business Objects, or other web analytics tools
Exposure to ecommerce and/or retail environments

Here's what's in it for you

  •  33 days holiday rising to 38 days with length of service (inclusive of bank holidays)
  • 2 staff discount codes for yourself and a family member or friend
  • 30% discount on Superdrug Own Brand Products both in store and online
  • Hybrid working patterns available depending on role responsibilities with 2 days working from home and 3 days in our stylish, modern and collaborative office close to East Croydon Station
  • Company pension matching and bonus
  • We offer Wagestream - a money management app that gives you access to a percentage of your pay as you earn it
  • Being part of more! We are part of a group who work closely with Savers, The Perfume Shop and Three UK
  • We are part of A.S. Watson Group, the world's largest international health and beauty retailer with over 15, stores in 25 markets!
  • Unrivalled Learning and Development programmes
  • Enhanced maternity/shared parental/adoption leave, company sick pay and pregnancy loss and support

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.