At a Glance
- Tasks: Lead data analytics with GA4, Google Tag Manager, and BigQuery for key client accounts.
- Company: Join a growing agency that values clean, trustworthy data for impactful strategies.
- Benefits: Enjoy 30 days' leave, training funds, loyalty bonuses, and enhanced parental pay.
- Other info: Great opportunity for career growth in a dynamic and supportive environment.
- Why this job: Make a real impact by turning complex data into trusted insights for clients.
- Qualifications: Expertise in GA4, GTM, and BigQuery with a passion for precision and accountability.
The predicted salary is between 50000 - 50000 £ per year.
Are you ready to be the technical backbone of a growing, ambitious agency's data practice, where clean, trustworthy data is what makes great strategy possible? As Senior Analytics Manager at StrategiQ, you'll own GA4, Google Tag Manager and BigQuery delivery across a portfolio of key accounts, working closely with the Head of Data Strategy to turn complex tracking and measurement work into data that clients can actually trust. You'll be trusted to take meaningful ownership of client requirements and day-to-day delivery, bring real technical depth to tracking architecture and reporting, and help the team raise its game as the data practice grows. If you take pride in doing the craft brilliantly, enjoy solving the kind of problems that demand real precision, and want to build your leadership alongside your technical expertise, this role offers genuine scope to grow.
IS THIS YOU?
- You'll know GA4, GTM and BigQuery inside out; this role is built around deep expertise in that specific stack, rather than wider data engineering or infrastructure work.
- Expert‑level GA4 experience, including event tracking, custom dimensions, conversion configuration and industry‑leading setups.
- Advanced Google Tag Manager skills, comfortable with custom triggers, variables and data layer management across complex client environments.
- Confident querying GA4 exports in BigQuery, building scheduled queries and pipelines that feed reporting and insight work.
- Able to design and document scalable tracking plans and data layer schemas in collaboration with developers.
- Takes pride in accuracy and won't let an error reach a client, from tracking audits to dashboard figures.
- Can explain technical concepts clearly to non‑technical clients and colleagues, without over‑complicating or over‑simplifying.
- Genuinely accountable for client delivery, proactively flagging issues and following through to solutions.
WHEN YOU JOIN OUR TEAM
You'll access a great range of benefits including:
- 30 days' paid annual leave.
- Up to 3 months' paid sick leave.
- £1,000 annual training fund to support your growth and development.
- £200 annual loyalty bonus to celebrate each year around the sun with StrategiQ.
- Enhanced maternity & paternity pay.
To be eligible for some benefits you must meet certain criteria.
APPLY NOW
Senior Analytics Manager in London employer: Homerun B.V.
At StrategiQ, we pride ourselves on fostering a dynamic and supportive work culture that empowers our employees to excel in their roles. As a Senior Analytics Manager, you'll not only have the opportunity to lead critical data initiatives but also benefit from generous perks such as 30 days' paid annual leave, a dedicated training fund for your professional development, and a collaborative environment that encourages innovation and growth. Join us in our vibrant location, where your expertise will be valued, and your career can flourish.
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We think you need these skills to ace Senior Analytics Manager 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!
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How to prepare for a job interview at Homerun B.V.
✨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.
