CRO Manager

London
£25000 - £40000 per annum

This vacancy has now expired. Please see similar roles below...

CRO Manager
£40,000 - £60,000
London

This niche agency are experts in Conversion Rate Optimisation, UX and Analytics - as a CRO Manager here you'll get to learn all areas, but specialise in exciting optimisation projects where you can get the most out of your clients websites.

THE COMPANY

This is a highly reputable User Experience-focused agency who are continuously looking to expand their team. They have a great team of successful UX Specialists, Product Managers, Digital Analysts and this role sits in the Optimisation team. In terms of training, they are tool agnostic so you'll learn a range of tech across optimisation and web analytics - great for career progression. If you want to work on exciting projects, in a fast-paced, social environment this is the place for you.

THE ROLE

  • You will look after CRO strategy and roadmaps for various clients alongside the optimisation team
  • You will collaborate with the insights team and technical team on projects to ensure things are done efficiently and to a high quality
  • You will conduct heuristic analysis, deep analysis and research using heat maps, user comments and surveys
  • You will suggest ideas for AB /MVT tests, code in the tests and then measure their success


SKILL AND EXPERIENCE

  • Proven hands-on experience or at least strong knowledge of AB/MV testing
  • User-expeirence focused experience in previous roles
  • Good communication skills and an analytical mindset - the ability to manage client relationships is also beneficial
  • Desire and willingness to learn new tech


THE BENEFITS

  • £40,000 - £60,000 - experience dependent
  • Benefits - include lots of office perks as well as pension, healthcare etc!
  • Performance based discrectionary bonus
  • Training and development - training budget per employee, internal and external courses!


HOW TO APPLY

Please register your interest by sending your CV to Rosie O'Callaghan at Harnham via the apply link on this page

Send similar jobs by email
23513ROC
London
£25000 - £40000 per annum

Similar Jobs

Salary

£55000 - £75000 per annum

Location

London

Description

This is a fantastic opportunity for someone with Presales experience and JavaScript experience

Salary

£30000 - £45000 per annum

Location

Manchester, Greater Manchester

Description

Are you looking for a role with ownership over web analytics and excellent opportunity to progress and develop?

Salary

€35000 - €40000 per annum + 10% prime sur objectif

Location

Paris, Île-de-France

Description

Nouvelle opportunité pour un WEB ANALYST junior de rejoindre le leader du transport.

Salary

€50000 - €60000 per annum + BENEFITS

Location

München (80636), Bayern

Description

Als Web Analyst bist du für die Optimierung der Webseite und mobilen Seiten zuständig. Du analysierst die Customer Journey und Online Marketing Aktivitäten.

Salary

€80000 - €100000 per annum + BENEFITS

Location

Nürnberg, Bayern

Description

Work with leading brands in retail, fashion, automotive and the travel industry!

Harnham blog & news

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.

HOW BRANDS USE DATA TO CREATE SUCCESSFUL CAMPAIGNS

Make no mistake: making minor adjustments to an ad or campaign that’s meant to appeal to the masses just won’t cut it. Customers crave creativity. They want to be understood. Which is why people respond best to brands that do their homework, doing their research into what appeals to different groups. How should businesses appeal to their chosen segments, then, considering how diverse people are? Data, of course. Why Data? For one thing, it drives results and creates improved outcomes. Data also helps to prove the value of marketing, providing a bargaining chip for future budget discussions. And, most rewarding of all, brands get valuable insights into their target market. Which, in turn, leads to more well-targeted, profitable campaigns.  And if you think Data doesn’t belong in the world of creative campaigns, think again. As OpenJaw Technologies Chief Marketing Officer Colin Lewis argues: “Creativity is not just compatible with being Data-driven – Data can drive better creative.” Psychological profiling Strategic communications consultancy, Verbalisation, researches and analyses language to form valuable insights. Using its Rapid Audience Insights Diagnostic system, the company’s team of psychologists and researchers work out how an audience thinks. They also learn the actual words an audience uses, which they then use as the basis of a marketing strategy.  Based on their unique research and insights, Verbalisation has created several successful campaigns for high-profile brands. These include the #NotAnotherBrother campaign for counter-terrorism organisation Quilliam, which looked at the motivations of jihadists.  The campaign is now used by the UN and schools across the UK, as well as the US Department of Defense. It is the most viewed counter-extremism campaign of all time, with more than half a billion global media impressions.  Location, location, location Out-of-home (OOH) advertising. Yes, it goes way back, but it’s actually the only traditional advertising channel posting rapid growth. In fact, thanks to mobile-location Data, brands can target audiences quicker and with a greater chance of success than ever before.  Great news for JCDecaux (JCD), a leading OOH company with ads reaching 410 million people in over 4,000 cities. JCD now works with location Data to define and segment audiences. Doing so helps it decide where to place media, improve campaigns and measure resulting store footfall and purchases.  Knowledge, so they say, is power. Particularly when that involves knowing the whereabouts of the most coveted customers. Newly teamed up with identity resolution company, Neustar, JCD’s insights look stronger than ever. JCD can now understand which of its locations rank higher for any brand’s most desired audiences. All thanks to location Data and real-time behaviour analysis.  Personalised employee training Data doesn’t just boost the results of B2C brands; it can also be a vital shot in the arm for internal security training campaigns. Training provider, CybeReady, for instance, uses a Data science-driven approach to deliver cyber awareness training with a difference: its anti-phishing platform helps security teams quickly roll out and tailor campaigns to individual employees. In big companies, getting employees up to speed is especially challenging. With many locations, languages and time zones to contend with, Information Security teams have their work cut out.  CybeReady eliminates these challenges by delivering 12 personalised, 60-second simulations to each employee. In their first language, every year. What’s more, the training provider uses machine learning to analyse performance on a daily basis. This enables it to provide the most appropriate simulations to each individual. The result? IT teams save 160 hours each month and employee resilience increases five-fold. There’s no limit to what Data can do. If you’re a fan, we may have a role for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

The Evolution Of The Data Engineer

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.  

Recently Viewed jobs