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Data Administrator

London
£100 - £150 per day
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DATA ADMINISTRATOR

6 - MONTH CONTRACT

£100-£150 PER DAY

REMOTE/CENTRAL LONDON

This position as a Data Administrator would allow you to operate within a large Construction retailer. As a Data Administrator you will work alongside Data Analysts and help integrate data onto a new ERP database. You will have the support and knowledge of experts within this sector, providing you with experience that will excel your career. The Data Administrator will transfer data into an entirely new database for the company.

THE COMPANY

This company provides the construction sector with valuable resources used in the development and maintenance of property. They are highly regarded within their field and have put Data & Analytics to the forefront of their decision making. Implementing new data strategies, this company has just begun it's data journey and is now looking to implement the foundations of this within a new UK branch, in which the Data Administrator will be assisting.

THE ROLE

The Data Administrator will be responsible for migrating data from one ERP system to another, this will specifically involve:

  • Extracting data from one ERP database using Excel and transferring it to the new ERP database.
  • Cleaning the data using excel before transferring it.
  • Manual transfer of data using Excel.
  • Data entry of customer terms onto the new system.
  • Identifying gaps in the data and filling them manually.
  • Liaising with product owners to enhance product data.

YOUR SKILLS AND EXPERIENCE:

As a Data Administrator you will be required to have the following experience:

  • High level capabilities in Google sheets/Google docs, Excel and Microsoft office platforms.
  • Experience within the retail sector preferable.
  • Experience conducting manual data transfers using excel.
  • SQL experience is a also preferable.
  • Experience working on ERP system preferable.
  • High attention to detail and good time management.

THE BENEFITS:

As a Data Administrator, you will receive between £100-£150 per day over an initial 6-month period. As well as the opportunity to work on a variety of interesting and exciting projects.

HOW TO APPLY:

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

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103596
London
£100 - £150 per day
  1. Contract
  2. Business Intelligence

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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

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