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Up to £65,000 + benefits
This role involves working with the most established media agency in the UK, producing effective insight into how their worldwide client base can optimise their media spend.
The company is a market leader within its industry and has a proud multi-channel revenue stream across an array of its industry and company specific sub brands. The team where this role sits has two large MNC clients who heavily rely on the brand for campaign optimisation and marketing spend ROI to ensure they are hitting the correct consumer base. The brand has a proud history of optimising the most innovative marketing campaigns, which are fuelled by their deep analytical understanding of numerous customer segments.
Working closely with the marketing performance team, this managerial role involves you to lead a team of analysts to work on numerous insight projects related to optimising customer acquisition activity. Using analytical techniques within R, Python and Eviews, the role requires you and your team to predict and analyse customer behaviour and incorporate these into several econometric models which will encompass a long-term strategic direction.
Your Skills and Experience
Your skills and experience will ideally include the following:
How to Apply
Please register your interest by sending your CV to Jamie Smith at Harnham via the link on this page.
£55000 - £60000 per annum + Additional Benefits
Work with one of the biggest household names in the UK, interacting with thousands of people a day!
£60000 - £80000 per annum
City of London, London
This role provides with you a great opportunity to work with one of the most innovative brands in the digital banking space
£45000 - £50000 per annum
This company is a finance-focused organisation operating in both the B2C and B2B space.
US$150000 - US$170000 per year
San Francisco, California
The fastest growing direct-to-consumer brand in history.
£45000 - £50000 per annum
Great chance to join the fastest growing company in the consultancy industry
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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12. September 2019
The Web Analytics world is evolving. What used to require an understanding of Google Analytics, some tag management and visualisation for presentation purposes has grown into something much more. Whereas Web Analysts may have once been lone players in a Marketing team, they’re now expected to sit as part of, and feed into, an enterprise’s Insight team. This exposure to more comprehensive forms of Data Analysis has led many Web Analysts to explore what the next step in their career could be. Namely, should they move into a Data Science position? For those who are looking to make this move, here are some considerations: Technicalities and Technologies Digital Analytics are not excluded from the debate over what it means to be a Data Scientist, especially given that some with a Data Scientist job title may in fact be Web Analysts, and vice versa. Many Web Analysts are now working with a number of Data Science tools, including SQL, Python, and R. By using these alongside Google or Adobe Analytics, they are able to form a comprehensive view of the customer, using different types of Data, in different forms, from different sources. However, there remains a gap between the use of these tools and actually working within Data Science. The most logical leap for a Web Analyst to make is to a Customer Insight or Digital Insight role. This type of role would still involve the analysis of online Data, but would likely be paired with building models, Predictive Analysis, reviewing customer LTV and creating a picture of customer online, offline and post-purchase behaviour to enable better targeting and retargeting. However, the knowledge gap between Web Analytics and Data Science may be more significant than one would anticipate. Your Current Position As a Web Analyst, you may well sit within a larger Data, Digital or Customer/Marketing Analytics department. Your exposure to these experts is one of the best assets you have available. Use the environment you are in to learn, upskill and gain hands-on experience. Knowledge of the necessary tools and languages is unlikely to be enough to lead to a move into Data Science and by getting hands-on commercial experience, you drastically increase your chances of success. If you are able to expand on the tech that you have already used, take advantage of this. Even if this is just in a consulting capacity, your ability to demonstrate a real-world application of your knowledge makes you significantly more appealing as a candidate. Plus, your knowledge of, and approach to, Web Analytics may actually work to your advantage when it comes to assessing Data quality. Consultancies and agencies often provide the best training opportunities and are more likely to allow you the opportunities to hone new skills. If you are fortunate enough to work in an environment like this, make the most of it. Attitude Is Everything It may sound like a cliché, but Hiring Managers are on the lookout for people that they know will benefit their business and attitude plays a huge part in this. Do not underestimate the importance that is placed on cultural fit during an interview process. Whether you are looking to make a move internally or externally, you should demonstrate your intrigue and willingness to learn. If you already have a strong record of progression within your current career, this will benefit you moving forward. When it comes to preparing, take time to dive into the world of Data Science, attend events and meet-ups, and continue to widen your remit. If you don’t have exposure to Data Science at work then you will also need to be learning SQL, Python and R at home to ensure you have a firm understanding of all the relevant technologies. Whatever role you are looking for, the worst thing you can do is not apply. One of the most common mistakes we see is analysts not applying to an opportunity because they would need to develop in some areas once in the role. If you are able to demonstrate the above attributes many enterprises, particularly agencies and consultancies, may still be willing to take you on. And, if you’re not looking to make a move, don’t panic; Web Analytics skillsets remain highly sought-after and valuable. Whether you’re looking for a new career in Data Science or your next role in Web Analytics, we may have a job for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.
05. September 2019