Senior Analyst

London
£45000 - £50000 per annum

Senior Analyst - WORLD LEADING MARKETING FIRM

London

£50,000 + benefits

Be a part of one of the leading marketing brands in the world, having the opportunity to experiment and work with vast amounts of transactional data in innovative ways. Using this data to interpret and identify customer patterns and behaviours.

THE COMPANY.

With direct access with over 19 million members in the UK, the brand is always finding effective ways to creatively target its customer base through building effective brand engagements. The brand also allows its employees to take direct ownership of projects, by giving them a creative licence to develop customer engagements through campaign design, model building and reports across a wide range of media channels.

THE ROLE

By using technological tools such as SQL and R, you help to build effective customer insights and build segmentation models based on your findings. Through use of statistical modelling and visualisation tools such as Tableau, you can help to drive strategic insight to key stakeholders. Your role will also involve coaching more junior members of the team, giving you the opportunity to gain a formal line of managerial experience.

YOUR SKILLS AND EXPERIENCE

Your skills and experience will ideally include the following:

  • SQL
  • Comfortable engaging and presenting to stakeholders
  • Customer focused
  • Python or R would be desirable
  • Experience of modelling
  • Experience of using visualisation tools (tableau)
  • Managerial or coaching experience

THE BENEFITS

  • £50,000 salary
  • Discretionary bonus
  • Contribution Pension plan

How to Apply

Please register your interest by sending your CV to Jamie Smith at Harnham via the link on this page.

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23221/JS
London
£45000 - £50000 per annum
  1. Permanent
  2. Marketing Analyst

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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 BRANDS USE DATA TO CREATE SUCCESSFUL CAMPAIGNS

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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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