At a Glance
- Tasks: Manage and report on clients' digital analytics using Google Analytics, GTM, and Looker Studio.
- Company: Welo Global, a forward-thinking company focused on digital analytics.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a collaborative team dedicated to driving digital success for clients.
- Why this job: Lead impactful analytics projects and mentor junior team members in a dynamic environment.
- Qualifications: Expertise in Google Analytics, GTM, and strong client management skills.
The predicted salary is between 58500 - 71500 £ per year.
Welo Global is seeking a Mid-Level Analytics professional to manage the setup, management and reporting of customers’ digital analytics assets, overseeing a portfolio of clients and guiding the wider digital team to meet objectives.
You will be an expert in Google Analytics, Google Tag Manager and Looker Studio, helping upskill junior team members and inform customers on effective analytics methods.
Strong client management and proactive problem-solving are essential.
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Mid-Level Analytics Lead: GA, GTM & Looker Studio in London employer: Welo Global
Park IP is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals seeking to excel in the field of intellectual property. With a strong commitment to employee growth, Park IP offers extensive training opportunities and encourages team members to contribute to process improvements, ensuring that every voice is heard. Located in a dynamic environment, employees benefit from working with cutting-edge AI technology while being part of a global team dedicated to delivering high-quality legal solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Mid-Level Analytics Lead: GA, GTM & Looker Studio in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Mid-Level Analytics Lead: GA, GTM & Looker Studio 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 Welo Global, 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 Welo Global. 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 Welo Global
✨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 Welo Global!
✨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.
