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Head of Digital Analytics

London
£57412 - £61513 per annum
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Head of Digital Analytics

London, UK

£70,000 - £75,000

Ever wanted to build a data culture from the ground up at leading eCommerce company? If you are a senior level analytics executive with a passion for using online and offline data to influence business strategy, this could be the perfect role for you!

The Role

As Head of Digital Analytics, you will be an integral part of the senior leadership team at this growing eCommerce business. Overseeing a team of 30+ analysts, you will strive to build a data driven culture that will make sense of the company's multiple data sources and turn them into actionable insights for marketing, eCommerce, product development, consumer segmentation, customer journey mapping and more. You will serve as a partner to the organisation across analytics platforms, tag management, testing and optimization, digital media, data strategy, media research, and reporting. You will have the opportunity to define the analytical toolbox as you wish. You should bring expert experience owning and managing digital analytics, website optimization & testing, user experience, voice of customer, customer insights, tag management, and online marketing.

In particular, you can expert to:

  • Build and head up Data and Analytics with responsibilities including digital analytics, web analytics, consumer insights, A/B & multivariate testing, campaign analytics and customer insights.
  • Determine strategy for all website tagging KPI measurement and A/B testing projects
  • Work with C-Level stakeholders to define data strategies
  • Lead and grow a team of 30+ analysts
  • Join an award-winning company culture with access to the latest digital/web technologies

Your Skills and Experience

  • Bachelor's Degree Required, Master's Degree preferred
  • Working experience in a digital analytics or web analytics leadership position
  • Working experience analyzing data from digital platforms (Google Analytics, Adobe Analytics)
  • Experience implementing web analytics tools
  • Working experience using programming languages (CSS, HTML, JavaScript)
  • Strong client management and strategy delivery skills
  • Experience working collaboratively with marketing operations and technology teams

SALARY AND BENEFITS

The successful candidate will secure a salary of £70,000- £75,000 and benefits depending on experience

HOW TO APPLY

Click "Apply Now" above.

KEYWORDS

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

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LH0-38
London
£57412 - £61513 per annum
  1. Permanent
  2. Digital Marketing Analyst

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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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Lucy Hughes

Lucy Hughes

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Using Data Ethically To Guide Digital Transformation

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Therefore, these systems run a high risk of breaching ethical conducts, such as privacy and security leaks or serious issues with bias, if not created, developed and managed properly.  So, what can businesses do to ensure their digital transformation efforts are implemented in the most ethical way possible? Implement ways to reduce bias From Twitter opting to show a white person in a photo instead of a black person, soap dispensers not recognising black hands and women being perpetually rejected for financial loans; digital transformation tools, such as AI, have proven over the years to be inherently biased.  Of course, a computer cannot be decisive about gender or race, this problem of inequality from computer algorithms stems from the humans behind the screen. Despite the advancements made with Diversity and Inclusion efforts across all industries, Data & Analytics is still a predominantly white and male industry. Only 22 per cent of AI specialists are women, and an even lower number represent the BAME communities. Within Google, the world’s largest technology organisation, only 2.5 per cent of its employees are black, and a similar story can be seen at Facebook and Microsoft, where only 4 per cent of employees are black.  So, where our systems are being run by a group of people who are not representative of our diverse society, it should come as no surprise that our machines and algorithms are not representative either.  For businesses looking to implement AI and machine learning into their digital transformation moving forward, it is important you do so in a way that is truly reflective of a fair society. 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