Senior Data Analyst

London
£40000 - £55000 per annum + Bonus and Benefits

This vacancy has now expired. Please see similar roles below...

Senior Data Analyst

Online Retail

London

£40,000 to £55,000 plus Excellent Benefits


Great opportunity for an experienced Senior Analyst to join one of the leading Retail providers across the UK and Europe. The role requires someone who is ready to step up and help the brand better their performance as well as to improve their marketing channels as they are facing a new phase with exciting projects.
The role is perfect for someone who is ambitious, passionate and enthusiastic. If that could be you, please apply bellow.

Duties and Responsibilities

  • You will respond to ad-hoc requests
  • You will be using their data to analyse and identify trends and insights
  • You will be working together with a number of teams, offering ideas and support in growing revenue
  • You will be willing to lead other analysts and supervise their performance

Skills and Qualifications

  • Degree in Mathematics, Statistics, Physical Sciences or equivalent
  • Strong SQL and Python skills
  • Knowledge of Web Analytics ie: Google Analytics
  • Statistical background is desired but not essential
  • Confident communicator with both technical and non-technical individuals
  • Able to work within a team as well as work independently

Salary

Up to £55,000 plus benefits

How To Apply

Please register your interest by submitting your CV via the apply link on this page.

Keywords

Marketing Analyst, Marketing Manager, Managerial, SQL, SAS, R, Python, SPSS, Excel, Customer Insight, Analyst, Marketing, Insight, Data, Data Analysis, Data Analytics, Customer Data, Customer behaviour, Propensity, Modelling, Retail, Manchester

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21721/SA
London
£40000 - £55000 per annum + Bonus and Benefits

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Harnham blog & news

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

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The Evolution Of The Data Engineer

Every Data Science department worth its salt has at least one engineer on the team. Considered the “master builders,” Data Engineers design, implement and manage Data infrastructure. They lay down digital foundations and monitor performance. At least, that’s what they used to do.  Over the last few years, the role has shifted. Data Engineers have gone from mainly designing and building infrastructure, to a much more supportive and collaborative function.  Today, a key part of the engineer role is to help their Data Analyst and Data Scientist colleagues process and analyse data. In doing so, they are contributing to improved team productivity and, ultimately, the company’s bottom line. THE IMPACT OF THE CLOUD In the past, a Data Engineer would often move data to and from databases. They’d load it in a Data Warehouse, and create Data structures. Engineers would also be on hand to optimise Data while businesses upgraded or installed new servers.  And then along came the Cloud.  The rapid dominance of cloud computing meant that optimisation was no longer needed. And as the cloud made it easy for companies to scale up and down, there was less need for someone to manage the data infrastructure.   The collective adoption of the cloud has had a big impact on the function of Data Engineers. Because, provided a company has the funds, there is no longer the same demand for physical storage. Freed from endless scaling requests, engineers have more time to program and develop. They also spend more time curating data for better analytics.  AUTOMATING THE BORING BITS  Less than a decade ago, if start-ups wanted to run a sophisticated analytics program, they’d automatically hire a couple of Data Engineers. Without them, Data Analysts and Data Scientists wouldn’t have any Data. The engineers would extract it from operational systems, before giving analysts and business users access. They might also do some work to make the Data simpler to interpret.  In 2019, none of this extraction and transformation work is necessary. Companies can now buy off-the-shelf technology that does exactly what a Data Engineer used to do. As Tristan Handy, Founder and President of Fishtown Analytics, puts it: “Software is increasingly automating the boring parts of Data Engineering.”  STILL SOUGHT-AFTER  With automation hot on the Data Engineer’s tail, it can be tempting to ask whether they are still needed at all.  The answer is: yes, absolutely. When recruiting engineers, Data Strategist Michael Kaminsky says he looks for people “who are excited to partner with analysts and Data Scientists.” He wants a Data Engineer who knows when to pipe up with, “What you’re doing seems really inefficient, and I want to build something better.” Despite the rise in off-the-shelf solutions, engineers still play a key role in the Data Science team. The difference is simply that their priorities and tasks have shifted.  Today, innovation is the watchword. The best engineers are hugely collaborative, helping their teams go further, faster. It’s an exciting time to be a Data Engineer. If you’re interested in this field, we may have a job for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

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