At a Glance
- Tasks: Analyse customer behaviour and improve online performance using data-driven insights.
- Company: Major UK retailer with a growing Customer & Digital Analytics team.
- Benefits: Competitive salary, career development opportunities, and fast interview process.
- Other info: Join a mature analytics function with exposure to various teams.
- Why this job: Make a real impact on eCommerce and customer experience in a dynamic environment.
- Qualifications: Experience in analytics, strong SQL skills, and good communication abilities.
The predicted salary is between 37000 - 45000 £ per year.
Overview
We’re hiring for two Digital Analyst positions within a growing Customer & Digital Analytics team for a major UK retailer.
The role focuses on e Commerce, customer experience, and digital performance, working closely with e Commerce, UX, Product, and Marketing teams to analyze customer behaviour and improve online performance.
Responsibilities
- Analyze customer and website behaviour data.
- Use SQL to interrogate large datasets.
- Work with GA4 and digital performance data.
- Build and maintain reports and dashboards.
- Support website optimisation and UX initiatives.
- Monitor basket value, conversion, customer journeys, and channel performance.
- Deliver actionable recommendations to stakeholders.
- Partner with e Commerce, Product, and Digital teams on business‑critical projects.
- Senior Digital Analyst focus
- Stakeholder management.
- Insight generation.
- Commercial recommendations.
- Driving action from analysis.
- What we’re looking for
- Digital Analyst
- 1‑2 years’ experience in analytics.
- SQL experience.
- Experience working with digital, customer, or website data.
- Strong analytical mindset.
- Good communication skills.
- Experience with GA4 or similar tools is beneficial.
- Senior Digital Analyst
- 2+ years’ experience in Digital Analytics.
- Strong SQL skills.
- Experience analysing website and customer behaviour.
- Strong stakeholder and insight delivery skills.
- Ability to translate data into clear commercial recommendations.
- Confidence presenting findings to different business teams.
- Highly desirable experience
- Retail or e Commerce background.
- Big Query.
- Digital performance analysis.
- Conversion and customer journey analysis.
- UX and testing analytics.
- Power BI, Tableau, or similar visualisation tools.
Why join?
- Join a mature analytics function with strong leadership.
- Work on high‑traffic e Commerce platforms.
- Exposure to Product, UX, Marketing, and e Commerce teams.
- Strong opportunity for career development.
- Fast interview process.
- Genuine influence on customer experience and digital performance.
- Interview Process
Single‑stage interview with fast feedback and decision‑making process.
If you’re a Digital Analyst with strong SQL skills and experience exploring customer behaviour, website performance, and digital journeys, we’d love to hear from you.
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Digital Analyst / Senior Digital Analyst in Liverpool employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analyst / Senior Digital Analyst in Liverpool
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We think you need these skills to ace Digital Analyst / Senior Digital Analyst in Liverpool
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
