Analytics Implementation Engineer
Sainsbury's is hiring an Analytics Implementation Engineer in London, United Kingdom. Level rates it ; you can apply on Sainsbury's.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include JavaScript, Tealium Iq and Tealium Eventstream.
- Level classifies it as a mid-level role.
- Level lists 405 other open roles at Sainsbury's.
- The role was posted in the last few days.
AI in this role
Analytics implementation engineer responsible for translating measurement requirements into tag management and data layer setups.
Analytics Implementation Engineer
Role overview
We are looking for a technically strong Engineer to join our Analytics Implementation team. You will collaborate closely with Product, Engineering, Analytics and Marketing teams to translate measurement requirements into data layer specifications and consent-aware tracking.
The team supports high-traffic retail websites and mobile applications. This is a digital analytics implementation role, rather than a reporting analyst or general front-end development role.
Key responsibilities
- Translate measurement requirements from Product, Analytics and Marketing teams into data layer specifications.
- Work with Engineering teams to implement data layer specifications.
- Configure client-side and server-side tags, including third-party tags, in Tealium iQ and Tealium EventStream.
- Write and maintain reusable JavaScript.
- Configure Adobe Analytics eVars, props, success events and processing rules, and maintain the Solution Design Reference (SDR).
- Validate consent-aware tracking end to end.
- Investigate tracking defects and data quality issues.
Take part in peer reviews of tracking changes and code.
Essential Criteria:
- Strong JavaScript skills: reading, writing, debugging and maintaining reusable code.
- Hands-on tracking implementation with at least one analytics platform, such as Adobe
- Analytics or Google Analytics.
- Experience translating measurement requirements into data layer specifications.
- Proven, hands-on commercial experience with a tag management platform, such as Tealium iQ or Google Tag Manager.
- Debugging and validating tracking with browser developer tools, including network requests and breakpoints.
- Understanding of how customer behaviour data is collected in modern web and mobile applications, including single-page applications.
- Understanding of consent-aware tracking.
Clear communication with technical and non-technical stakeholders.
Desirable Criteria:
- Tealium iQ.
- Tealium EventStream and server-side tracking.
- Adobe Analytics implementation and configuration.
- Third-party tags.
- OneTrust or another consent management platform.
- Mobile app tracking with Adobe or Tealium mobile SDKs.
- Tracking Next.js applications.
- Automated testing of tracking.
Technology stack:
The team works primarily with JavaScript, Tealium iQ, Tealium EventStream, Adobe Analytics and OneTrust.
We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you’ll realise this is a modern software engineering environment, because it has to be. We’ve made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech.
We are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new — whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them:
Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform.
Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme.
Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave.
Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).
How we rate this
Analytics Implementation Engineer at Sainsbury's rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where analytics implementation was part of your work. What did you do?
- Tell me about a project where tag management was part of your work. What did you do?
- Tell me about a project where data layer was part of your work. What did you do?
- Tell me about a project where debugging was part of your work. What did you do?
- Walk me through how you've used JavaScript in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Analytics Implementation, Tag Management, Data Layer, Debugging, and JavaScript. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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