At a Glance
- Tasks: Lead the rebuild of web analytics and improve data quality across digital products.
- Company: Dynamic company offering a hybrid work environment and a focus on innovation.
- Benefits: Up to £50,000 salary, annual bonus, pension contributions, and wellbeing perks.
- Other info: Great career growth opportunities in a supportive and collaborative team.
- Why this job: Make a real impact on data strategy in a fast-paced digital landscape.
- Qualifications: Experience in web implementation, Adobe Analytics, and strong JavaScript skills.
The predicted salary is between 50000 - 50000 £ per year.
This role stands out as a rare opportunity to lead a full rebuild of web analytics in a large scale, consumer facing digital environment. You will play a central role in fixing long standing data quality issues and shaping a modern instrumentation strategy that underpins commercial decision making across the business.
The Role
- Own and manage the design, implementation and QA of the web data layer across multiple digital products
- Deliver hands on tracking using Adobe Analytics, Adobe Web SDK and tag management tools
- Work closely with Product, Engineering and Marketing teams to define and implement robust instrumentation
- Resolve legacy tracking issues and improve data accuracy, reliability and governance
- Support marketing attribution, reporting and optimisation through high quality event data
- Contribute to a wider analytics transformation programme, including future server side tracking initiatives
Your Skills and Experience
- Strong commercial experience in web implementation and digital analytics
- Hands on expertise with Adobe Analytics and modern implementation approaches
- Strong JavaScript skills and confidence working with data layers
- Experience with tag management, debugging and pixel tracking in complex environments
- Comfortable operating in legacy or messy setups and driving improvements
- Confident communicator able to manage stakeholders across technical and non technical teams
What They Offer
- Base salary up to £50,000 with flexibility for exceptional candidates
- Annual bonus of up to 10 percent
- Hybrid working policy with three days per week in the office
- Pension with employer contribution and matched scheme
- Medicash and additional wellbeing benefits
- Industry perks including access to heavily discounted events and experiences
- Clear opportunity to grow with an expanding data and product organisation
How to Apply
Apply now to learn more about this opportunity.
Web Implementation/Tagging Specialist in Slough employer: Harnham
Join a forward-thinking company that values innovation and collaboration, offering a unique opportunity to lead the transformation of web analytics in a dynamic digital environment. With a hybrid working model, competitive salary, and a strong focus on employee wellbeing and growth, you will thrive in a culture that encourages professional development and rewards excellence. Experience the benefits of working in London, where you can enjoy industry perks and be part of a team dedicated to driving impactful change.
StudySmarter Expert Advice🤫
We think this is how you could land Web Implementation/Tagging Specialist in Slough
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We think you need these skills to ace Web Implementation/Tagging Specialist in Slough
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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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!
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✨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.
