At a Glance
- Tasks: Support tracking, validate data quality, and develop insightful reports using AI tools.
- Company: DAC, a global performance media agency with a focus on innovation.
- Benefits: Flexible work environment, competitive pay, and opportunities for professional growth.
- Other info: Collaborative culture with opportunities to work alongside industry experts.
- Why this job: Join a dynamic team and leverage cutting-edge technology to drive impactful results.
- Qualifications: Experience in data analysis and a passion for web analytics.
The predicted salary is between 35000 - 45000 £ per year.
Who We Are
We are DAC—a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint—from global audiences to individual store locations.
The successful candidate will support tracking and tagging initiatives, validate data quality, and develop reporting that combines website, media, and first-party data sources. This individual will also use AI-enabled tools to accelerate reporting, create data visualizations, and support high-level analysis of business questions. This role works closely with web developers, data engineers, lead analysts, and data scientists.
Web Analyst in London employer: DAC Group
Join a dynamic team as an SEO Manager in our vibrant London, Paris, or Madrid office, where you'll have the opportunity to work with top-tier clients and cutting-edge tools in the performance marketing industry. Our collaborative culture fosters curiosity and innovation, ensuring you thrive in a supportive environment that values professional growth and offers competitive benefits, including wellness initiatives and opportunities for continued learning. With a focus on transparency and teamwork, we are committed to creating a workplace where your skills and insights can truly make an impact.
StudySmarter Expert Advice🤫
We think this is how you could land Web Analyst in London
✨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 DAC Group!
✨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 Web Analyst at DAC Group.
✨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 DAC Group.
✨Apply Directly through Our Website
When you find a suitable opening like Web Analyst at DAC Group, 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 Web Analyst in London
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 DAC Group, 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 DAC Group. 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 DAC Group
✨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 DAC Group!
✨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.
