Senior Technical Digital Analyst – £70,000
London / £55000 - £70000
£55000 - £70000
Senior Technical Digital Analyst
Up to £70,000
Technology & Telecommunications
Leading UK Telecommunications brand that have de-scaled and are now rebuilding their Digital Analytics function are hiring for a Senior Technical Digital Analyst to own the Technical Implementation across the Digital real estate!
The telecommunications brand have been working with Digital and Data Analytics at the core of the business decisions for a few years, even pre-Covid! Coming out of the pandemic, they have hired a new Head of Digital Analytics with vast expansion plans for the Digital Analytics team. The wider Digital Analytics team would be working cross-functionally with lots of close collaboration with Marketing and Content teams and play a key role within the wider business.
You would be the subject matter expert on Tagging and Tracking for the Data Layer Implementations across the wide variety of Digital Real Estate that the company own. There would be requests coming from the internal Analytics team that you would be working with, but primarily, you would be focused on the initial audit of the tagging, and following this, working on the strategy and roadmap behind Data Layer Implementations.
- Expertise within Tag Management and Tracking across Websites and Digital Marketing Campaigns
- Commercial Technical experience with Google Tag Manager/Adobe Launch/Tealium
How to Apply and Interview Process
- Apply via submitting CV
- 1st Stage Interview - 45 minutes with Head of Digital Analytics
- 2nd Stage Interview - 90 minutes Technical Interview with Head of Digital Analytics and Wider Team
- Offer Extended and Acceptance
Salary and Benefits
- Base Salary up to £70,000
- Flexible working
- 25 days annual leave (plus bank holidays)
- 10% on-target bonus
- Life Assurance
- Pension scheme
- Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc.
- 50% off own-brand mobile pay monthly or SIM-only plans
- Exclusive colleague discounts on their broadband packages
- Full access to the entertainment side of the brand
- Family and Friends discount
IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B, Test, Split, Multivariate, MVT, Tracking, Code, Tagging, Tags, Insight, Client, Agency, Management, Strategy, CRO, Conversion, Optimisation, Optimizely, Test and Target, Adobe Target, Maxymiser, VWO, Visual Website Optimiser, Tag Manager, Tag-manager, Tagging, Tag Management, Set Up Tags, Manage Tags, Manage Tagging, Managing Tags, Managing Tagging, Setting Up Tags, Analytics Tracking, Implement Tags, Implement Tagging, Tagging Implementation, Tag Implementation, Tracking Implementation, Analytics Implementation
Is Product Analytics the new Digital Analytics? | Harnham Recruitment post
Following on from our exploration of what Digital Analytics is, and the exploration specifically of hiring Digital Insights Analysts in the North of England and Midlands, we wanted to take a look at Product Analytics, and how it differs from the standard Digital Analyst role.To help investigate the importance of Product Analytics in the current market, we have interviewed Nicky Tran, a Product Analyst at Virgin Media (Manchester).What Is A Product Analyst?In simple terms, a Product Analyst ‘’looks at the different products a company has, and then you are identifying which areas of the product can be improved or which areas can be optimised.” While Digital Analytics can inform the product lifecycle, the interesting aspect to this role is, that unlike a traditional Web Analyst role, it is more of a hybrid role. Nicky emphasised that it is ‘’an upcoming sector within the analytics community’’, providing an overlap between Digital Analytics, Customer Analytics and Data Science.The key skills and tools for this role are advanced SQL, Google Analytics, and AB testing. So how does this skillset differ from a traditional Web Analyst? Nicky suggests that while the core requirements are that of a Web Analyst, with a web role you would essentially just be using Google Analytics Data. However, as a Product Analyst, you would be using advanced SQL to access other data bases, and pull data from models, and therefore, “you are combining two sets of data to get a more insightful look”.Why Is Product Analytics Important, And Why Are They Now Becoming More Prominent On The Market?Similar to Digital Analytics roles, it is clear that with the impending digital transformation, companies are becoming increasingly data-led, especially with regards to their digital platforms (and products).As a result of the pandemic, the digital space is so much more important than ever before. Therefore, to stay competitive, and to really understand the products from the consumer perspective, companies have to provide the most personalised customer experiences to acquire and retain their consumers. As Nicky mentions, ‘It is definitely worth making an ‘inventory’ to see how to promote what you have – it is about personalising the customer journey’.What are employers looking for in a Product Analytics candidate?Product Analytics are great due to their hybridity. In the current market, where there are numerous jobs, and few candidates, a Product Analyst (technically strong in three areas) is a highly sought-after rarity.Businesses are becoming increasingly invested in Product Analytics and having a Product team that works alongside the Digital team can be beneficial; especially when companies need to stay competitive.What are Candidates looking for? Understanding the differences between a Digital Analyst, and a Product Analyst is key to understanding what a candidate is looking for. Nicky suggested that this Product Analyst role enabled her to be the ‘bridge’ between areas.So how does the future of a Product Analyst differ to that of the route of a Digital Analyst? For Nicky, this is one of the most important factors to being a Digital Analyst, as she has the option to go down the Data Science route in the future should she wish. The more technical skills she has as a Product Analyst means she is building up experience across different areas of Data & Analytics, giving her a slightly different career path, should she want to go down a more technical route.Why Choose A Product Analyst Role?“If you come from a technical background – maths, physics, computer science – and are interested in how the numbers are crunching, it is worth going into Product Analytics, as it needs a logical mathematics brain, to be able to convert it into a way which is useful to stakeholders.”From speaking to Nicky, it is clear that Product Analytics is an up-and-coming role that people don’t know enough about it. Therefore, if you are curious about Product Analytics, or any of the different roles the market has to offer at the moment, as an employer looking for help hiring, or a candidate actively or passively looking for work, Harnham can help. Take a look at our latest Product Analytics jobs, or get in touch for more information on how we can support your hiring needs.
Ten Tips for Writing the Perfect Data & Analytics CV | Harnham Recruitment post
It’s no secret that jobs within the Data & Analytics market are more competitive than ever and with some jobs having hundreds of applicants (if not more), having a CV that stands out is more important than ever. It’s well known that many Hiring Managers spend a short amount of time reviewing a candidate, so you need to consider what they can do to have the best impact. We’ve seen it all over the years, from resumes sorely lacking detail through to those that have almost every accomplishment written over too many pages – so we’ve complied a list of the 10 things that could help you create a resume that makes an impact, complete with top tips from our team of experienced recruiters.1. Keep it Simple All of our recruiters are unanimous in suggesting to candidates that the perfect CV length is no more than two pages, or one for a graduate or more junior candidate. Sam, our Corporate Accounts manager suggests that candidates keep it simple:“In analytics, it’s all about the detail and less about how fun your CV looks. My best piece of advice would be to keep it to two pages, use the same font without boxes or pictures, and bold titles for the company and role. It sounds pretty simple but it’s really effective and often what our clients seem to be drawn to the most”. 2. Consider the audience & avoid jargon Before your CV gets to the Hiring Manager, it may be screened by an HR or recruitment professional so it’s crucial to ensure that your CV is understandable enough that every person reviewing it could gauge your fit. Whilst showing your technical ability is important, ensure that you save yourself from anything excessively technical meaning only the Hiring Manager could understand what you have been doing. 3. Showcase your technical skills There is, of course, a need to showcase your technical skills. However, you should avoid a long list of technologies, instead clarify your years of experience and competence with each of the tools. Within the Data & Analytics market specifically, clarifying the tools that you used to analyse or model is very important and writing those within your work experience can be very helpful. Wesley, who heads up our French team, explained where candidates can often go wrong: “Candidates often write technical languages on their CV in long lists and forget to make them come to life. My clients are looking for them to give examples of how and when they have used the listed tools and languages”4. Consider the impact of your workJust writing words such as ‘leadership’ or ‘collaboration’ can often easily be over-looked. It’s important that you are able to showcase the impact that you work has beyond the traditionally technical. Think about how you can showcase the projects that you have lead or contributed to and what impact it had on the business. Often people forget the CV isn’t about listing your duties, it’s about listening your accomplishments. Ewan, our Nordics Senior Manager brings this to life: “I would always tell someone that whenever you are stating something you did in a job you always follow up with the result of that. For example, ‘I implemented an Acquisition Credit Risk Strategy from start to finish’ – but then adding, ‘which meant that we saw an uplift of 15% of credit card use’”. Joe, New York Senior Manager, concurs: “Actionable insights are important, results driven candidates are what our clients are looking for. So instead of ‘Implemented A/B Testing’, I’d get my candidates to make that more commercial, such as ‘Implemented A/B test that result in 80% increase in conversion’”. 5. Use your Personal Summary A personal summary is effective when it comes to technical positions, as some people can often overlook them. Use this to summarise your experience and progression as well as indicate the type of role and opportunity you are looking for. If this is highly tailored to the role you are applying for, it can have an extremely positive impact. For example: ‘Highly accomplished Data Scientist, with proven experience in both retail and banking environments. Prior experience managing a team of five, and proven ability in both a strategic and hands on capabilities. Proven skills in Machine Learning and Statistical Modelling with advanced knowledge of Python, R and Hadoop. Seeking Data Science Manager role in a fast-paced organisation with data-centric thinking at it’s heart’. 6. Consider what work and non-work experience is relevant If you’ve been working in the commercial technical sphere for more than five years, it’s likely that your part time work experience during university or the non-technical roles that you took before you moved into your space are no longer as relevant. Ensure you are using your space to offer the Hiring Manager recent, relevant and commercially focused information. However, do not leave gaps just because you took a role that didn’t relate to your chosen field, you don’t need to describe what you did but have the job title, company and dates to ensure you are highlighting a clear history of your experience. It’s important to note that you are more than just your work experience as well, Principal Consultant Conor advises candidates to talk about more than just their work accomplishments:“Listing non work achievements can help make the CV stand out. If someone has a broad range of achievements and proven drive outside of work, they will probably be good at their job too. Plus, it’s a differentiating point. My clients have found interesting talking points with people who have excelled in sports, instruments, languages and more specifically for the Analytics community – things like maths and Rubik’s cube competitions”. 7. Don’t forget your education For most technical roles, education is an important factor. Ensure that you include your degree and university/college clearly as well as the technical exposure you had within this. If you did not undertake a traditionally technical subject, make sure you highlight further courses and qualifications that you have completed near this section to highlight to the Hiring Manager that you have the relevant level of technical competence for the role. 8. Don’t include exaggerated statementsIt goes without saying that if you are going to detail your experience with a certain technical tool or software that you could be asked to evidence it. Saying your proficient in R when you’ve done a few courses on it won’t go over well, especially if there are technical tests involved in the interview process. At the same time, don’t undervalue your expertise in certain areas either, your strengths are what the Hiring Managers is looking for. 9. Don’t get too creativeUnless you’re in a creative role it’s unlikely that the Hiring Manager will be looking for something unique when it comes to the CV. In fact, very few people can pull of an overly flashy CV, most of them being those that work specifically in design. When in doubt, stick to standard templates and muted tones. 10. Tailor, Tailor, Tailor! Time is of the essence and when it comes to reviewing CVs and you don’t have long to make an impact. Make sure to customise your resume using keywords and phrases that match the job description (if they match your own, of course). For example, if the role is looking for a Business Intelligence Analyst with proven skills in Tableau you would not just claim, “experience in Data Visualisation”, you’d list the software name, “experience in Tableau based Data Visualisation”. Although every job description is different, all it takes is a few small tweaks to ensure your maximising your skillset. If you’re looking for your next Data & Analytics role or are seeking the best candidates on the market, we may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.
Web Analytics in the North of England and Midlands | Harnham Recruitment post
As Digital Analytics continue to evolve and play a key role in businesses country-wide, and with the talent redistribution resulting from the pandemic, many Hiring Managers are seeking to attract top candidates to roles based outside of London. But how they can do this efficiently and effectively? To answer this question, we’ll be exploring hiring in the North of England and Midlands in a new series of articles focusing on the four key specialisms found in Digital Analytics: Insights, CRO/Optimisation, Implementation/Tracking, and Product Analytics. First up, we’re taking a look at hiring Digital Insight professionals. Why is Digital Insights important?As the world undergoes a digital transformation, companies are becoming increasingly data-led, specifically in relation to their websites and apps. Over the last two years, the average consumer has turned more and more to these platforms and so many companies, in order to keep up with their competitors and to give their customers the best experience, are keen on personalising the customer experience across their websites and the apps.To achieve the goal of improving the customer experience online, and therefore improve sales, you first need to know what the customer does on their journey; What pages do customers click on? What converts into sales? Are there any trends across different demographics or segments of customers? A Digital Analyst will come in, examine the data collected by the developers and implementation teams and translate this data into useful insights with actionable recommendations as to what needs improving. What are employers looking for in a Digital Analytics candidate?In the current market, there are numerous jobs and fewer candidates, meaning candidates are being snapped up quickly. The market is moving particularly fast at the moment, with candidates moving through processes at faster rates – we have seen candidates through processes in just two weeks! Therefore, as candidates are in multiple processes, clients are facing more rejected offers than ever. While there are some great candidates on the market at the moment, the perfect candidate is tricky to come by. The absolute standard for a Digital Analyst is Google Analytics or Adobe Analytics with some form of Data Visualisation skills to help them create dashboards and reports with the insights they find. However, SQL is, more often than not, also becoming a must-have. By conducting the process as quickly as possible and realty appealing to candidate motivations, you will have a better chance at securing these quality candidates that would make a great addition to your business.What are candidates looking for?From my experience so far, Digital Analytics candidates seem to have a better experience in the current market, as they are able to be more selective. They are often involved in multiple processes and can weigh up which role offers them the best opportunity. Therefore, candidate motivations are important and can be crucial for a speedy recruitment process. As seen in our 2021 Data & Analytics Salary Guide, the motivations that appear to be most important to candidates are culture, training and progression, flexibility and the overall package. Culture, including training and progression, is always going to be important to a candidate and giving them a good first impression with lots of information about how your company and your role stand out from others is essential.Furthermore, flexibility is a post-pandemic privilege that is becoming the norm. While hybrid working works for some, others require primarily remote working. Despite the number of different roles across the North and Midlands, the candidate pool for a Digital Analyst with Google Analytics, SQL and Power BI is not huge. Therefore, having as much flexibility as possible with your working from home policy is key.Finally, overall package (not just base salary) is also important. The disparity between London roles and North roles is not as large as you might assume. As there is a shortage of candidates, in order to stay competitive, it is vital to benchmark candidates effectively. Again, there is information about this in our current salary guide. However, just to give you an idea of the market, last year, the average tenure of a Digital Analyst was approximately 2 years. The average increase in salary after this time was approximately 17-20%. Therefore, it is clear that staying competitive and understanding what candidates are looking for is important.Final Comments:Whether you are curious about the market, a client looking for help hiring, or a candidate actively or passively looking for work, Harnham can help. Take a look at our latest Digital Analytics jobs or get in touch for advice on anything from salary to candidate motivations, to work-from-home preferences.
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