Analytics Implementation Engineer
Salary: Competitive Plus Benefits
Location: Holborn Store Support Centre and Home, London, EC1N 2HT
Contract type: Permanent
Business area: Sainsbury's Tech
Closing date: 09 October 2024
Requisition ID: 235572
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 for us to feed the nation. The level of data, transactions and variety it involves. Then you’ll realise that ours is a modern software engineering environment because it has to be. We’ve made serious investment into a Tech Academy and into setting standards and principles. We iterate, learn, experiment and push ways of working such as Agile, Scrum and XP. So you can look forward to awesome opportunities in everything from AI to reusable tech.
We’re a multi-channel, multi-brand business serving millions of customers a day, with the UK’s largest loyalty scheme and an ever-evolving set of digital platforms. All of this equals over 1.2 billion transactions each year, presenting a volume, depth and complexity of data that few can match.
We don’t think we’re exaggerating when we say we have the most exciting data set in the country. And from the insights gained, we build scalable, high-performance products using cutting-edge technology that give our customers an amazing shopping experience – like our award-winning Smartshop app. In an inclusive, agile environment, you’ll have the space to be curious, to experiment, and to solve real-world challenges. And you’ll get to see your creations in the hands of millions of people across the UK.
We use a variety of tech here and you need to be willing to pick up new tools and techniques. We’d also like you to be yourself - analytical, curious and unafraid to challenge the status quo. You’ll be a role model for best practices, championing a customer centric mindset and a passion for finding creative ways to solve problems, mentoring fellow engineers as a progressive member of the engineering community.
About the job
- An exciting opportunity to be a fundamental part of the digital future at Sainsburys/Argos has arisen. As an Analytics Implementation Engineer, you will be using your experience of working in analytics implementation to help us execute our implementation strategy and enable more informed and faster decisions making.
- Be the subject matter expert of the tools within your remit, i.e. Adobe Analytics and Tealium.
- Develop and implement comprehensive analytics tracking code across various platforms.
- Utilize JavaScript to build core tracking methods. Employ advanced techniques like object/array manipulation.
- Collaborate with stakeholders to collect business requirements and translate them into effective tracking documents.
About the team
- The team are responsible for delivering a best in class analytics implementation across various channels, including web, in-store apps and consumer apps. Leveraging our tag management tool, Tealium, and the Adobe SDK, we collaborate with multiple stakeholders such as engineering, product, insight analysts, commercial and marketing teams.
More about you
Essential
- Demonstrate advanced proficiency in Web Technologies such as JavaScript. While the role does not involve coding large web projects, expertise in coding core tracking methods in JavaScript is essential. This includes array and object manipulation, and familiarity with advanced methodologies and concepts.
- Demonstrate prior experience in providing analytics requirements for web and mobile apps, showcasing a clear process for QA and sign-off, including relevant tools and methodologies.
- Possess effective communication skills, enabling interaction with individuals of varying skills and levels within the organisation.
- Possess 3-5+ years of experience supporting implementation, quality assurance and maintenance of digital analytics tools.
- Show evidence of strong analytics and problem solving skills.
- Adept at working under pressure and meeting tight deadlines.
- Strong communication and organizational skills.
- Ability to work with multiple stakeholders and manage project delivery across several different teams and agencies.
- ‘Can do’ attitude with an interest to learn and develop on the go.
Desirable
- Working knowledge of Adobe analytics and Google Analytics
- Experience using Tealium IQ
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 get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. 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 additional 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, pay 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).