London / £35000 - £45000
£35000 - £45000
Up to £40,000
One of the UK's leading retailers is looking for someone to join their new digital team as an App Analyst to assist with their exciting digital transformation
This company is a leading retailer within the UK, and this is an exciting opportunity to join their digital analytics team. This role will play a key part in their digital transformation, working across data and analytics to enhance the understanding of a range of customer interactions.
- Working across their app, monitoring its performance using Adobe Analytics
- Identifying improvements and providing recommendations to optimise customer experience
- Creating more engaging experiences for customers
- Working with other teams to provide reports and insights
YOUR SKILLS AND EXPERIENCE
- Advanced Adobe Analytics experience
- Previous experience in App Analytics
- Experienced in using digital analytics to drive insights
- Excellent communication skills
Up to £40,000
Great work-life balance with flexible hybrid working
Opportunity to grow and develop your career
HOW TO APPLY
Please register your interest by sending your CV to Lauren McAlister via the Apply link on this page.
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.
As Incidents Of Cybercrime Increase, How Can A Fraud Analyst Give Your Business Peace Of Mind?
Whilst it’s true that cybercriminals are becoming more creative and sophisticated, as are analytical techniques and the experts that wield them. Fraud Analysts now have more techniques and reach than ever, and as incidents of cybercrime increase, this isn’t an area that businesses should be scrimping on.
According to PwC’s Global Economic Crime and Fraud Survey 2022, 46 per cent of organisations surveyed reported experiencing fraud or financial crime over the last 24 months and tech, media and telecommunications businesses appeared to have taken the brunt. Findings showed that nearly two-thirds of this group experienced some form of fraud, the highest incidence of any industry.
The ONS also recently released stats showing that fraud offences increased by 25 per cent in 2021 (to 4.5 million offences) compared with the year ending March 2020. Indeed, the proportion of these incidents that were cyber-related increased to 61 per cent up from 53 per cent.
The rise of cyber-fraud is a clear issue and for some businesses such as financial institutions, tackling this by using fraud teams made up of expert Fraud Analysts is the norm. But for others, it may not have been seen as a priority until recently. However, any business which has a growing number of online transactions will become a bigger target for fraudsters and would benefit from a team member able to help minimise the risk.
So, how can fraud analysts help?
Far from wanting to paint a bleak picture, while fraud techniques are evolving and improving, so are anti-fraud efforts. All risks associated with financial crime involve three kinds of countermeasures: identifying and authenticating the customer, monitoring and detecting transaction and behavioural anomalies, and responding to mitigate risks and issues. All of these are carried out by fraud experts, such as Fraud Analysts, armed with ever-evolving technologies and techniques. So, what exactly does a Fraud Analyst do?
Fraud Analysts will track and monitor transactions and activity, identify and trace any suspicious or high-risk transactions, determine if there is improper activity involved, and identify if there is any risk to the organisation or its customers. They are able to digest huge swathes of information and quickly and efficiently prioritise the data that’s important in order to tell a story of fraud or no fraud.
To cope with the speed and scale of online commerce, new technologies such as Machine learning (ML) models have come to the fore. These models have the ability to simulate thousands of scenarios and take over the mundane tasks of sifting through swathes of data in a tiny percentage of the time it would take a human. The systems used by Fraud Analysts will vary based on the industry, but a common example is rule-based expert systems (RBESSs). A very simple implementation of artificial intelligence (AI) RBESSs are used to detect fraud by calculating a risk score based on users’ behaviours, such as repeated log-in attempts or ‘too-quick-for-being-human’ operations. Based on the risk score, the rules deliver a final decision on each analysed transaction, therefore blocking it, accepting it, or putting it on hold for analyst’s revision. The rules can be easily updated over time, or new rules can be inserted following specific needs to address new threats.
This method has proved very effective in mitigating fraud risks and discovering well-known fraud patterns. That said, rule-based fraud detection solutions have demonstrated that they can’t always keep pace with the increasingly sophisticated techniques adopted by fraudsters, without regular updates and expert use.
Machines also cannot mimic human traits like intuition. People can detect if things aren’t right even if they have not seen them before. It’s an instinct not yet successfully trained into machines. Therefore, new trends are much better pursued by an analyst and then a machine can be trained to stop future occurrences. A well-implemented ML system will free up precious time for an analyst to perform these more productive tasks.
A non-stop process
So, your Fraud Analyst has now set up a new ML system to identify fraudulent activity and is also looking for new trends that fraudsters may be trying – now what? Fraud Analysts never sit still. Their job is not a one-time fix but one of constant evolution and refinement. Their role involves identifying weaknesses in systems and continually looking for opportunities for improvement, such as recommending anti-fraud processes to detect new patterns or new software tools to help with reporting. Their finger is always on the pulse of emerging developments and will ensure your company remains protected against current risks.
Not only is this aspect part of the job description, but it is also to some extent inherent to their nature. Fraud Analysts tend to be curious, have a strong attention to granular detail, as well as an inclination towards problem-solving. Leaving no stone unturned is part of their makeup. This analytical skillset will dig out any problems that are there – which will unfortunately then require you to fix them (sorry!) – but it is far better to be aware of any weaknesses now. The majority of companies only realise their shortcomings when it is already too late. Ultimately it is better to be safe than sorry.
A Fraud Analyst not only helps to protect businesses against creative cyber criminals but will also give owners reassurance as they look to grow and thrive unimpeded.
If you are looking for a complete recruitment solution across the breadth of Data & Analytics disciplines to build out a robust Data & Analytics function, get in touch with one of our expert consultants here.
Looking for a new role? Take a look at our latest Fraud Analyst jobs.
Big Data, Privacy, and Women’s Healthcare Tracking Apps
For just about everything you want to do, learn, or track; there’s an app. This includes apps for women’s health such as period tracking apps and even Apple’s health monitor stored on every iPhone. The theory behind it is sound. Women can track their cycles, consider family planning, determine the best time for a holiday, and catch any health issues that may arise. But how much information do the apps capture and how much of it, if any, is available to third parties, including law enforcement?
Should You Delete Your Health Apps to Protect Your Private Data?
Women began deleting their health-tracking apps a few years before this year’s overturning of Roe v Wade, but now even more consumers are deleting their health-tracking apps over concerns their information could be sold or given to third parties who would have no qualms about turning it over to the police.
Consumers are savvier than ever before about who has access to their Data. Who buys it? Who sells it, and what it’s used for whether by the app itself or if their information is sold to third parties for marketing purposes. And now, perhaps to law enforcement, should it look as if someone might be trying to or have had an abortion? Messaging from fertility and menstrual cycle apps sought to reassure their users of their Data Privacy, but in a study by Mozilla, not all apps did as stand-up a job as they could have done offering vague privacy policies about what they collected, stored, and sold.
Though privacy policies could be more detailed and definitive, it’s interesting to note that most information turned over to the police isn’t from an app at all. For the most part, people turn in other people, as the legal advocacy group If/When/How found not one example of the police arresting someone with information gathered from a period tracking app. Some healthcare apps, like the one found on your Apple iPhone, store your information directly on the device. So, in making the decision of whether or not to delete your period tracking app, ask yourself: did it come with your phone, or did you download it later?
How Employers Can Help Protect Health Data for their Employees
If you’re an employer and wondering how to navigate such sensitive topics in your healthcare benefit offerings, below are a few questions you may want to consider if your benefits are offered through a third-party provider.
- How will your employees’ health information be stored?
- Will it be direct to their device or an encrypted file?
- What security measures are provided to guarantee privacy and protection of their users’ information?
- Can they show their users’ health information will not be sold for commercial purposes?
- What will happen to a user’s Data if they leave the company or decide to no longer use the benefit?
- How and will it be deleted? Is there a ‘grace period’ or will it be deleted automatically?
With the rise of startups in the femtech space, a key component savvy users will want to understand is how much Data is collected, if any, and how it’s used. Privacy laws and policies are often vague when it comes to women’s healthcare Data including map and GPS concerns as well as the information that is entered into the apps themselves.
Looking for top talent to take your business to the next level when it comes to Data and Analytics? Contact one of our expert consultants to learn more about finding and retaining top talent in the industry. We may have a candidate for you.
If you’re interested in Big Data, Web Analytics, Business Intelligence, AI, Robotics, Computer Vision, and more, Harnham may have a role for you. Check out our latest Digital Analytics jobs or contact one of our expert consultants to learn more.
For our West Coast Team, contact us at (415) 614 – 4999 or send an email to firstname.lastname@example.org. For our Arizona Team, contact us at (602) 562 7011 or send an email to email@example.com.
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