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£55,000 - £65,000
If you're a CRO expert with excellent commercial experience in a user-focused envrionment and you're keen to take your next step to own the personalisation and optimisation roadmap for this business, get in touch!
If you have a passion for CRO in a digital environment and want to use data to help improve a business this is the role for you. This hugely successful and well-known tech company are looking for someone to own and drive the optimisation and personalisation roadmap for the business, being the advocate for CRO across the Digital teams and the wider business. They use the full Adobe suite so you'll get training in this area if you aren't already an expert - great for career progression!
As the Personalisation Specialist you can be expected to:
* You will act as an internal consultant to the Digital teams and wider business on how best run their AB/MV testing programme
* You will lead the optimisation roadmap for the company and the overall strategy for the team as well as designing personalisation experiences for the business (using Adobe Target)
* You will establish best practice across for optimisation and personalisation
* You will coach and train the team where necessary
SKILLS AND EXPERIENCE
* Experience conducting a high volume of AB/MV tests in a fast-paced commercial environment
* Experience working with Adobe Target perferred
* Agency experience or strong stakeholder management experience
SALARY AND BENEFITS
* £55,000 - £65,000 - depending on experience
HOW TO APPLY
Please register your interest by sending your CV to Rosie O'Callaghan at Harnham via the apply link on this page
£75000 - £100000 per annum
Head of CRO position for an Optimisation expert!
£50000 - £60000 per annum
Join this up and coming digital analytics agency as a digital personalisation specialist taking on an optimisation project at a huge brand client.
£40000 - £50000 per annum
A great opportunity to join a global vendor who works with a variety of big-name clients on projects across web analytics and optimisation.
£45000 - £50000 per annum + Benefits
West End, London
This exciting new role marries Advanced Data Analysis with Digital Media performance, driving insights on Programmatic campaigns.
£30000 - £50000 per annum
Major travel brand with huge amounts of site traffic coming through looking for specialists in Digital Analytics & Optimisation.
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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05. June 2019
Every Data Science department worth its salt has at least one engineer on the team. Considered the “master builders,” Data Engineers design, implement and manage Data infrastructure. They lay down digital foundations and monitor performance. At least, that’s what they used to do. Over the last few years, the role has shifted. Data Engineers have gone from mainly designing and building infrastructure, to a much more supportive and collaborative function. Today, a key part of the engineer role is to help their Data Analyst and Data Scientist colleagues process and analyse data. In doing so, they are contributing to improved team productivity and, ultimately, the company’s bottom line. THE IMPACT OF THE CLOUD In the past, a Data Engineer would often move data to and from databases. They’d load it in a Data Warehouse, and create Data structures. Engineers would also be on hand to optimise Data while businesses upgraded or installed new servers. And then along came the Cloud. The rapid dominance of cloud computing meant that optimisation was no longer needed. And as the cloud made it easy for companies to scale up and down, there was less need for someone to manage the data infrastructure. The collective adoption of the cloud has had a big impact on the function of Data Engineers. Because, provided a company has the funds, there is no longer the same demand for physical storage. Freed from endless scaling requests, engineers have more time to program and develop. They also spend more time curating data for better analytics. AUTOMATING THE BORING BITS Less than a decade ago, if start-ups wanted to run a sophisticated analytics program, they’d automatically hire a couple of Data Engineers. Without them, Data Analysts and Data Scientists wouldn’t have any Data. The engineers would extract it from operational systems, before giving analysts and business users access. They might also do some work to make the Data simpler to interpret. In 2019, none of this extraction and transformation work is necessary. Companies can now buy off-the-shelf technology that does exactly what a Data Engineer used to do. As Tristan Handy, Founder and President of Fishtown Analytics, puts it: “Software is increasingly automating the boring parts of Data Engineering.” STILL SOUGHT-AFTER With automation hot on the Data Engineer’s tail, it can be tempting to ask whether they are still needed at all. The answer is: yes, absolutely. When recruiting engineers, Data Strategist Michael Kaminsky says he looks for people “who are excited to partner with analysts and Data Scientists.” He wants a Data Engineer who knows when to pipe up with, “What you’re doing seems really inefficient, and I want to build something better.” Despite the rise in off-the-shelf solutions, engineers still play a key role in the Data Science team. The difference is simply that their priorities and tasks have shifted. Today, innovation is the watchword. The best engineers are hugely collaborative, helping their teams go further, faster. It’s an exciting time to be a Data Engineer. If you’re interested in this field, we may have a job for you. Take a look at our latest opportunities or get in touch with our expert consultants.
29. May 2019