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Product Analyst - Remote Working

London
£50000 - £60000 per annum
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Product Analyst - Remote Working
London, Currently Remote Working
£50,000-£60,000

THE COMPANY

A fast-growing start-up in the news content space is seeking a Product Analyst to drive greater personalisation across mobile & app platforms.

THE ROLE

As the Product Analyst, you will be responsible for all deep-dive analytics & optimisation across a dynamic digital estate, focused on mobile & app platforms. You will be part of a team of product analytics experts, strong across web and customer analytics, utilising your strong skillset across SQL & A/B testing.

YOUR SKILLS AND EXPERIENCE

  • Strong SQL experience
  • Experience in A/B testing for optimisation purposes (on-site CRO & statistical)
  • Experience with Firebase is advantageous
  • Knowledge of R/Python preferred but not essential

THE BENEFITS

  • £50,000-£60,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Please note that our client is currently running a fully remote interview process, and able to on-board and hire remotely as well. This role is intended to be home working for the foreseeable future

KEY TERMS
IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, DTM, Dynamic Tag Manager, Ensighten, Tealium, 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, Home Working, Flexible Working, Remote Working

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104339/AO
London
£50000 - £60000 per annum
  1. Permanent
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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 Are Digital Marketing Analysts Disrupting Traditional Marketing Functions?

In the age of disruption, the traditional marketing function of organisations across the globe is changing. No longer tied to traditional product-based marketing models and removed from siloed ways of working, digital marketing analysts are changing perceptions of marketing. Successive waves of disruption, from remote working and the shift to cloud-based operations, to developments and advancements in automation, mean that digital analysts are being kept on their toes. In fact, recent research has indicated that worldwide IT spending is set to reach $3.9 trillion in 2021 as digital projects get back on track. Digital Marketing Analysts therefore play a critical role in how organisations adapt their marketing strategies to encompass the use of data and digital to enhance their offer. Through monitoring online marketing trends, analysing statistics and developing campaign reports, these professionals also prepare and share this strategy with colleagues and clients. Here are a few ways in which this is happening. Utilising more and more data Analysing data is one of the most important functions a Digital Marketing Analyst should focus on. We’re all familiar with the value of Big Data to a firm’s operating procedures and applying this to how marketing is completed should have no less value. Looking at complex data sets that can’t be processed through traditional methods, utilising past data and insight to inform future campaigns and channelling this through Cloud systems such as Google Analytics has never been more useful to a marketing team, regardless of size or industry. Targeting a bigger audience Finding, targeting and growing your audience is likely to be a goal set for marketing teams across the globe. Digital marketing functions provide huge scope in reaching a greater number of consumers than just through traditional means alone. Omnichannel marketing, for example, is becoming a key part of a Digital Marketing Analyst’s core role, and campaigns using 3 or more channels are known to have a 90 per cent higher retention rate than single-channel efforts. What needs to be kept in focus though, is that despite the innovation rippling through marketing functions, these audiences still demand personal attention. In fact, 68 per cent are likely to spend more with a brand that treats them like an individual, whatever the channel. Supporting smaller businesses to scale Quite often in big companies digital and marketing functions are operated separately but in smaller businesses traditional marketers are just expected to know about digital methods too, when perhaps their skillset lies elsewhere. As a result, a skills gap can start to open up. Digital Marketing Analysts can come into small business (even on a consultancy or contract basis) to support SMEs to scale and grow their digital campaigns. Interestingly, 76 per cent of small businesses believe their digital marketing efforts are effective, so building on this is crucial. What remains apparent is, with such a high demand for digital transformation across the business community, it is crucial that business leaders can both recruit and retain the best individuals out there to really ensure their marketing function is best placed to maximise all the incredible opportunities and tools available to them. 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.

Lucy Hughes

Lucy Hughes

28. January 2021

News

Using Data Ethically To Guide Digital Transformation

Over the past few years, the uptick in the number of companies putting more budget behind digital transformation has been significant. However, since the start of 2020 and the outbreak of the coronavirus pandemic, this number has accelerated on an unprecedented scale. Companies have been forced to re-evaluate  their systems and services to make them more efficient, effective and financially viable in order to stay competitive in this time of crisis. These changes help to support internal operational agility and learn about customers' needs and wants to create a much more personalised customer experience.  However, despite the vast amount of good these systems can do for companies' offerings, a lot of them, such as AI and machine learning, are inherently data driven. 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. This can be achieved by encouraging a more diverse hiring process when looking for developers of AI systems, implementing fairness tests and always keeping your end user in mind, considering how the workings of your system may affect them.  Transparency Capturing Data is crucial for businesses when they are looking to implement or update digital transformation tools. Not only can this data show them the best ways to service customers’ needs and wants, but it can also show them where there are potential holes and issues in their current business models.  However, due to many mismanagements in past cases, such as Cambridge Analytica, customers have become increasingly worried about sharing their data with businesses in fear of personal data, such as credit card details or home addresses, being leaked. In 2018, Europe devised a new law known as the General Data Protection Regulation, or GDPR, to help minimise the risk of data breaches. Nevertheless, this still hasn’t stopped all businesses from collecting or sharing data illegally, which in turn, has damaged the trustworthiness of even the most law-abiding businesses who need to collect relevant consumer data.  Transparency is key to successful data collection for digital transformation. Your priority should be to always think about the end user and the impact poorly managed data may have on them. Explain methods for data collection clearly, ensure you can provide a clear end-to-end map of how their data is being used and always follow the law in order to keep your consumers, current and potential, safe from harm.  Make sure there is a process for accountability  Digital tools are usually brought in to replace a human being with qualifications and a wealth of experience. If this human being were to make a mistake in their line of work, then they would be held accountable and appropriate action would be taken. This process would then restore trust between business and consumer and things would carry on as usual.  But what happens if a machine makes an error, who is accountable?  Unfortunately, it has been the case that businesses choose to implement digital transformation tools in order to avoid corporate responsibility. This attitude will only cause, potentially lethal, harm to a business's reputation.  If you choose to implement digital tools, ensure you have a valid process for accountability which creates trust between yourself and your consumers and is representative of and fair to every group in society you’re potentially addressing.  Businesses must be aware of the potential ethical risks that come with badly managed digital transformation and the effects this may have on their brands reputation. Before implementing any technology, ensure you can, and will, do so in a transparent, trustworthy, fair, representative and law-abiding way.  If you’re in the world of Data & Analytics and looking to take a step up or find the next member of your team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.

Henry Rodrigues

Henry Rodrigues

21. January 2021

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