UPLOAD YOUR CV
We help the best talent in the Digital analytics market to find rewarding careers.
Simply upload your CV and select your areas of interest and our expert recruitment consultants will be in touchUpload Now
Senior Web Analytics Specialist
$100,000 - $115,000
Are you highly skilled in implementing the Adobe Analytics suite and also experienced in website tagging and tracking strategies? Do you want to be a crucial asset to the success and innovation of a global, billion-dollar eCommerce company? If you're answering 'yes', read on to find out more!
This eCommerce company has offices around the world and a global customer base of over 20 million people. They were the first of their kind in what they do in terms of their product offering and are still miles ahead of their competitors. They are building a Web Analytics center of excellence in Boston and need to hire technical superstars in Adobe Analytics.
You will be a business-critical part of the analytics team, flexing your technical skills Adobe Analytics (Adobe Omniture). You'll be passionate about the nitty-gritty technical elements of tagging and tracking solutions (leveraging Adobe Optimize/Google Optimizely), working with a team of developers to manage implementation of the Adobe Analytics suite. You will also have the opportunity to help build an A/B testing and MVT testing culture from the ground up, leading testing and optimization strategies from conceptualization to implementation!
In particular, you can expect to:
· **** Manage implementations of Adobe Analytics *****
· Implement the Adobe Analytics tags leveraging Tealium or other Tag Management tools
· Analyze data on-site data Analytics, Adobe Analytics (Omniture)
· Deep dive into the Adobe Analytics tools to solve complex issues on the site
· Organize data trends and look at ways to unlock new data sources
Your Skills and Experience
· Working commercial experience in digital analytics with a passion for understanding the on-site customer journey
· Working commercial experience with tools such as Google Analytics or Adobe Analytics (Adobe Omniture)
· Working commercial experience in implementing tags using GTM (Google Tag Manager), DTM (Adobe Tag Manager) or Tealium
· Advanced Microsoft Excel Skills
· SQL skills are a plus!
· Working commercial experience using tag management software like GTM, DTM
SALARY AND BENEFITS
The successful candidate will secure a salary of $100,000 - $115,000 and benefits depending on experience
HOW TO APPLY
Please register your interest by sending your CV to Jonathan King via the Apply link on this page.
Google Analytics, Adobe Analytics, SQL, Python, Excel, MS Excel, Insight, insights, shopper, customer, analytics, technology, campaign, Tableau, CRM, database, acquisition, retention, marketing, digital, SEM, SEO, paid search, display, dashboard, Omniture, site catalyst, web analytics, CoreMetrics, webtrends, website, Google Tag Manager, Tag Manager, Dynamic Tag Manager, HTML, CSS, Java Script, Flash, JQuery
£20000 - £30000 per annum
Birmingham, West Midlands
This is an exciting opportunity for a highly analytical digital media expert to join a collaborative and social start up with huge growth opportunities.
€70000 - €85000 per annum + BONUS
Interessiert an einer neuen Herausforderung? Ein Unterhaltungsunternehmen sucht einen Ad Ops Spezialisten für ihren Standort in Essen.
€40000 - €50000 per annum
Opportunité pour un un RESPONSABLE D'ACQUISITION SEA de rejoindre l'acteur leader dans l'industrie du tourisme.
£90000 - £95000 per annum + + benefits
Exciting and unique opportunity to work with a leading data and analytics consultancy, leading client conversations and mapping out complex media solutions
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
It’s that time of year again. Decorations are going up, the temperature is dropping daily, and the year’s biggest shopping weekend is upon us. Black Friday and Cyber Monday may have started stateside, but they’re now a global phenomenon. This year, in the UK alone, shoppers are expended to spend £8.57 billion over the four-day weekend. But, for retailers, this mega-event means more than a cash injection. In the world of Data, insights gained from shopping and spending habits during this period can dictate their product and pricing strategies for the next twelve months. So what is it, exactly, that we can stand to learn from the Black Friday weekend? THE GHOST OF BLACK FRIDAY PAST There are a few interesting takeaways from 2018’s Black Friday weekend that will likely impact what we see this year. Firstly, and perhaps unsurprisingly given that it’s a few years since the event has become omnipresent, spending only increased about half as much as initially predicted. There are a number of reasons for this, but cynicism plays a central role. More and more, consumers are viewing Black Friday deals with an element of suspicion and questioning whether the discounts are as good as they’re promoted to be. This, combined with other major annual retail events, such as Amazon’s Prime Day, means that this weekend no longer has the clout it once did. However, 2018 also saw marketers doing more to stand out against the competition. Many businesses have moved away from traditional in-your-face sales messaging and some are even limiting their Black Friday deals to subscribers and members. By taking this approach, their sales stand out from the mass market and can help maintain a level of exclusivity that could be jeopardised by excessive discounts. In addition to branding, marketers making the most of retargeting saw an even greater uplift in sale. Particularly when it came to the use of apps, those in the UK using retargeting saw a 50% larger revenue uplift than those who didn’t. So, having reviewed last year’s Data; what should businesses be doing this year in order to stand out? GETTING BLACK FRIDAY-READY WITH DATA Businesses preparing for Black Friday need to take into account a number of considerations involving both Marketing and Pricing. For the latter, Data and Predictive Analytics play a huge role in determining what items should go on sale, and what their price should be. Far from just being based on gut instinct or word-of-mouth, algorithms derived from Advanced Analytics inform Machine Learning models that determine what should be on sale, and for how much. These take into account not only how many of each discounted product need to be sold to produce the right ROI, but also what prices and sales should be for the rest of the year in order to make the sale financially viable. In terms of Marketing, Deep Learning techniques can be used to accurately predict Customer Behaviour and purchases. These predictions can then reveal which customers are likely to spend the most over the weekend, and which are likely to make minimal purchases. Marketers can then, in the lead up to Black Friday, target relevant messaging to each audience whether it be “get all you Christmas shopping in our sale” or “treat yourself to a one-off item”. By carefully analysing the Data they have available and reviewing the successes and failures of their Black Friday events, businesses can generate greater customer loyalty and improve their sales year-round. If you’re looking to build out your Marketing Analytics team or take the next step in your career, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.
28. November 2019
We are thrilled to announce the launch of our 2019 UK, US and European Salary Guides. With over 3,000 respondents globally, this year’s guides are our largest and most insightful yet. Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 77% of respondents in the UK and Europe, and 72% in the US, willing to leave their role for the right opportunity. Salary expectations remain high, although we’re seeing that candidates often expect 2-10% more than they actually achieve when moving between roles. Globally, we’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change. There also remains plenty of room for industry improvement when looking at gender parity; the UK market is only 25% female and this falls to 23% in the US and 21% across the rest of Europe. In addition to our findings, the guides also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role. You can download your copies of the UK, US and European guides here.
10. June 2019