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Data Analyst

City of London, London
£200 - £300 per day
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Data Analyst

£200-£300 per day

Remote

Financial Services

Do you like working in a fast paced, vibrant environment? Do you have a passion for all things data? Then this may be the role for you!

We are working with an award - winning fundraising, donations and event registration platform who have helped raise millions worldwide and are now looking to add a Data Analyst on to their fast expanding team. Their main mission is to put the charities first in all things including ownership of branding and data, allowing them to present themselves as authentically as possible, producing a loyal donation base that they really heavily upon to do the great things they do.

The Role

As a Data Analyst, you'll be reporting into the Head of Customer Success & Acquisition and will be collaborating with the Customer team and Product team where you'll be an essential part of developing the effectiveness of their services further. This will enable you to push yourself and encourage self-development by diversifying your skills.

As a Data Analyst, you'll be expected to:

  • Perform Data Analysis for Analytical extractions, manipulation and wrangling using SQL
  • Be responsible for matching the needs of data insight with understanding of the available data
  • Produce insight products including reports, dashboards and visualisations but also contribute to project understanding of existing data structures so that inputs and outputs are fully understood
  • As the role develops, you may need to perform other ad hoc tasks within the scope of an analytical role

The ideal Data Analyst will have:

  • Experience in manipulating or wrangling data for analysis
  • Able to review and comment on data models- for example pointing out why models are defective and suggesting improvements.
  • Strong SQL skills
  • Extensive Experience using Google Analytics and Google Optimise
  • Have working knowledge of Hubspot or similar CRM platforms
  • Clear written and verbal communications
  • Experience using Cloud platforms, most preferably AWS

HOW TO APPLY:

Please register your interest by sending your CV to Zavina Johnson via the Apply link on this page.

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101166/ZJ
City of London, London
£200 - £300 per day
  1. Contract
  2. Web 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.

Visit our Blogs & News portal or check out our recent posts below.

How Are Digital Marketing Analysts Disrupting Traditional Marketing Functions?

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Lucy Hughes

Lucy Hughes

28. January 2021

News

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. 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.

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