At a Glance
- Tasks: Lead analytics delivery and ensure accurate tracking for strategic decision-making.
- Company: Dynamic agency with a focus on innovative analytics solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a growing team in a collaborative environment with exciting challenges.
- Why this job: Elevate your analytics skills while making a real impact for diverse clients.
- Qualifications: Expert in GA4, Google Tag Manager, and BigQuery with strong communication skills.
We’re looking for a Senior Analytics Manager to take ownership of analytics delivery across a portfolio of our clients. You’ll act as the technical authority for GA4, Google Tag Manager and BigQuery, ensuring tracking is implemented accurately and data is fully trusted for strategic decision‑making. You’ll lead delivery, translate complex requirements into robust tracking solutions, and elevate the agency’s analytics capability as the team grows.
Salary: £50,000 - £55,000
Location: London / Hybrid (3 days a week onsite, 2 remote)
Requirements:
- Expert level knowledge of GA4, including event tracking, custom dimensions and conversion configuration.
- Advanced Google Tag Manager skills, including custom triggers, variables and data layer management.
- Confident working with BigQuery, including querying GA4 exports and building scheduled pipelines.
- Ability to design and document scalable tracking plans and data layer schemas.
- High attention to detail with a commitment to accuracy in audits, reporting and dashboards.
- Strong communicator able to explain technical concepts clearly to nontechnical stakeholders.
- Proactive, accountable approach to client delivery and problem solving.
Data Analytics Manager employer: Digital Waffle
As a Senior Analytics Manager at our London-based agency, you'll thrive in a dynamic and collaborative work culture that values innovation and professional growth. We offer competitive salaries, flexible hybrid working arrangements, and opportunities to enhance your skills in cutting-edge analytics tools like GA4 and BigQuery, ensuring you are well-equipped to lead impactful projects for our diverse client portfolio.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Manager
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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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 Digital Waffle.
✨Apply Directly through Our Website
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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!
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Craft a Tailored Cover Letter:For a full-time role at Digital Waffle, 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 Digital Waffle. 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 Digital Waffle
✨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!
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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
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✨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.
