At a Glance
- Tasks: Own digital analytics and help teams make data-driven decisions.
- Company: Join a forward-thinking company focused on digital insights.
- Benefits: Competitive salary, great benefits, hybrid work, and staff discounts.
- Other info: Opportunity to thrive in a dynamic, evolving analytics environment.
- Why this job: Shape the future of digital insight and drive impactful change.
- Qualifications: Experience with GA4, SQL, and strong communication skills.
We’re looking for a Digital Analyst to become the go-to for digital insight, helping teams better understand customer behaviour, digital performance and the impact of marketing investment. You’ll sit in the central team, working closely with ecommerce, marketing and commercial stakeholders.
What you’ll be doing:
- As a Digital Analyst, you’ll take ownership of digital analytics and help stakeholders make better decisions through data.
- A large part of the role will focus on GA4, helping stakeholders understand customer journeys, campaign effectiveness and website performance.
- You’ll analyse digital activity, measure ROI, support A/B testing programmes and identify opportunities to improve conversion and customer experience.
- You’ll also play a key role in testing and experimentation, helping teams understand what’s working, what isn’t and where improvements can be made.
- Working closely with stakeholders across the business, you’ll translate complex findings into clear and meaningful insight that drives action.
- As the organisation continues to mature its analytics capability, you’ll have the opportunity to shape how digital insight is used across multiple functions and contribute to the development of a data-driven culture.
What experience you’ll need to apply:
- Several years of strong commercial experience using GA4.
- Advanced SQL skills.
- Experience analysing digital, web or ecommerce performance.
- Ability to measure and communicate ROI across digital channels.
- Experience supporting A/B testing and optimisation initiatives.
- Strong stakeholder management and communication skills.
- Experience translating data into actionable business insight.
- Ability to work autonomously and operate in a developing analytics environment.
- Python experience would be beneficial.
- Experience within retail, ecommerce or consumer-focused businesses would be advantageous.
What you’ll get in return for your experience:
A salary of £60,000-£70,000 depending on experience, plus an excellent benefits package including pension, life assurance, enhanced family leave policies, staff discounts and more. The role is based in East Sussex with a hybrid working arrangement of a minimum of 2-3 days per week in the office (depending on candidate location).
Digital Analyst employer: ADLIB
Join a leading global production agency that values creativity and excellence in event management. With a strong focus on employee growth, you will have the opportunity to work alongside industry experts, manage high-profile luxury events, and cultivate meaningful client relationships in a dynamic and supportive work culture. Located in the heart of London, this role offers unique advantages such as access to a vast network of industry contacts and the chance to work on prestigious projects that push the boundaries of event production.
StudySmarter Expert Advice🤫
We think this is how you could land Digital 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 ADLIB!
✨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 Analyst at ADLIB.
✨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 ADLIB.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Analyst at ADLIB, 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 Digital 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 ADLIB, 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 ADLIB. 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 ADLIB
✨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 ADLIB!
✨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.
