At a Glance
- Tasks: Analyse digital performance data and create client-facing reports using Looker Studio.
- Company: Leading data agency in the UK with a focus on innovation.
- Benefits: Salary between £30,000 to £37,000, hybrid work, and direct exposure to C-suite.
- Other info: Hands-on role in a data-focused environment with great career potential.
- Why this job: Join a dynamic team and work with top consumer brands from day one.
- Qualifications: Strong experience with GA4 and Google Tag Manager required.
The predicted salary is between 30000 - 37000 £ per year.
A leading data agency in the United Kingdom is looking for a hands-on Digital Analyst to join their data-focused team. In this role, you will work with some of the biggest consumer brands, analyze digital performance data, and build client-facing reports using Looker Studio. The position offers a salary of £30,000 to £37,000, hybrid working conditions, and exposure to C-suite stakeholders from day one.
Ideal candidates will have strong experience with GA4 and Google Tag Manager.
Digital Analytics Specialist — GA4, GTM & Looker Studio in Leeds employer: Harnham
Join a leading data agency in the UK that champions a collaborative and innovative work culture, where your contributions directly impact renowned consumer brands. With hybrid working options, competitive salaries, and opportunities for professional growth, this role as a Digital Analytics Specialist offers you the chance to engage with C-suite stakeholders and enhance your skills in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Specialist — GA4, GTM & Looker Studio in Leeds
✨Get Involved in Data Science Meetups
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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 Harnham.
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We think you need these skills to ace Digital Analytics Specialist — GA4, GTM & Looker Studio in Leeds
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.
