Referral Scheme - Terms



Harnham – Referral scheme Terms & Conditions

As we are offering a reward for these recommendations we feel it is appropriate to make sure that you understand the terms. 

For each and every referral you make to Harnham, where we successfully place a candidate in a permanent role with a start date within 6 months of receipt of your referral, we will thank you with £250 worth of Amazon vouchers (subject to availability) to the value of the scheme running on the date of the referral.






For each and every referral you make to Harnham, where we successfully place a candidate in a contract role with a start date within 6 months of receipt of your referral, providing that the contract is for a period of over 6 months, we will thank you with £250 worth of Amazon vouchers (subject to availability) to the value of the scheme running on the date of the referral. The reward will be processed after your referral has completed the first 3 months of their contract and when Harnham’s first invoice has been paid. 


We recognise that your recommendation may be on our database already. However if we haven’t spoken to the candidate in the 6 months prior to receiving your introduction, we will still offer the reward as above. We will acknowledge your introduction within 72 hours of receipt and accept or decline your referral. We will not be obliged to give our reasons for rejecting your referral.

  • The placement must be a minimum of £25k per annum for a permanent hire and £250 per day for a contract hire.
  • No reward will be delivered if your referral leaves their new role within the first 3 months.
  • We will notify you of your referrals start date the week before and ask for your preferred electronic device.
  • There is no limit to the number of introductions.
  • The referral must be logged online via the Harnham website.
  • You are responsible for any tax liability that may occur on receipt of the reward.

Any employee or direct relative of an employee of Harnham does not qualify for the referral scheme.


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.

MeasureCamp Paris 2019

A few weeks ago, I was lucky enough to attend the sixth annual MeasureCamp Paris. It was Harnham's second time sponsoring the event and is always an amazing opportunity for us to get face to face with Digital Analysts not only from France, but all over Europe. Once again, the place was filled with industry-leading minds, all of whom were passionate about sharing their knowledge and the day-to-day challenges they face. As you'd expect, it was a pleasure to have the chance to see some familiar faces and get to talk with a variety of professionals about the market and share our thoughts. Their insights were unbelievably valuable. Fortunately, we were able to give them a sneak peek of our new 2019 Salary Guide and discuss our findings alongside some general market trends.   One particularly interesting point of discussion surrounded how double the amount of professionals are using the Google stack of tools compared the to the Adobe equivalent. Many commented on what they see as a lack of training and investment within their company in other Analytics tools (e.g Adobe) or CRO tools (e.g. AB Tasty, Optimizely, even Kameleoon) compared to UK and Nordic enterprises. Outside of this, there were a number of discussions on how the Digital Analytics space is evolving, especially on the impact that diversified Web Analytics roles are having on the industry, and how secure professionals feel in their positions as a result of this. With many commenting that a lack of career progression is making them feel unsure of their current role, it may explain why our Salary Survey found that 80% of the Data & Analytics professional are open to potentially leaving for the right opportunity.  This year's MeasureCamp Paris was both bigger and better. It's clear that Digital Analysts remain incredibly thirsty for new ideas and ways to upskill and so it's no surprise, particularly from what we saw on the day, that the market and talent pool are stronger than ever.  If you'd like to discuss any of the trends I've mentioned above, or are looking for a new opportunity, do not hesitate to get in touch with me here. 

The Harnham 2019 Data & Analytics Salary Guide Is Here

We are thrilled to announce the launch of our 2019 UK, US and European Salary Guides. With over 3,000 respondents globally, this year’s guides are our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 77% of respondents in the UK and Europe, and 72% in the US, willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates often expect 2-10% more than they actually achieve when moving between roles.  Globally, we’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the UK market is only 25% female and this falls to 23% in the US and 21% across the rest of Europe.  In addition to our findings, the guides also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copies of the UK, US and European guides here.

HOW BRANDS USE DATA TO CREATE SUCCESSFUL CAMPAIGNS

Make no mistake: making minor adjustments to an ad or campaign that’s meant to appeal to the masses just won’t cut it. Customers crave creativity. They want to be understood. Which is why people respond best to brands that do their homework, doing their research into what appeals to different groups. How should businesses appeal to their chosen segments, then, considering how diverse people are? Data, of course. Why Data? For one thing, it drives results and creates improved outcomes. Data also helps to prove the value of marketing, providing a bargaining chip for future budget discussions. And, most rewarding of all, brands get valuable insights into their target market. Which, in turn, leads to more well-targeted, profitable campaigns.  And if you think Data doesn’t belong in the world of creative campaigns, think again. As OpenJaw Technologies Chief Marketing Officer Colin Lewis argues: “Creativity is not just compatible with being Data-driven – Data can drive better creative.” Psychological profiling Strategic communications consultancy, Verbalisation, researches and analyses language to form valuable insights. Using its Rapid Audience Insights Diagnostic system, the company’s team of psychologists and researchers work out how an audience thinks. They also learn the actual words an audience uses, which they then use as the basis of a marketing strategy.  Based on their unique research and insights, Verbalisation has created several successful campaigns for high-profile brands. These include the #NotAnotherBrother campaign for counter-terrorism organisation Quilliam, which looked at the motivations of jihadists.  The campaign is now used by the UN and schools across the UK, as well as the US Department of Defense. It is the most viewed counter-extremism campaign of all time, with more than half a billion global media impressions.  Location, location, location Out-of-home (OOH) advertising. Yes, it goes way back, but it’s actually the only traditional advertising channel posting rapid growth. In fact, thanks to mobile-location Data, brands can target audiences quicker and with a greater chance of success than ever before.  Great news for JCDecaux (JCD), a leading OOH company with ads reaching 410 million people in over 4,000 cities. JCD now works with location Data to define and segment audiences. Doing so helps it decide where to place media, improve campaigns and measure resulting store footfall and purchases.  Knowledge, so they say, is power. Particularly when that involves knowing the whereabouts of the most coveted customers. Newly teamed up with identity resolution company, Neustar, JCD’s insights look stronger than ever. JCD can now understand which of its locations rank higher for any brand’s most desired audiences. All thanks to location Data and real-time behaviour analysis.  Personalised employee training Data doesn’t just boost the results of B2C brands; it can also be a vital shot in the arm for internal security training campaigns. Training provider, CybeReady, for instance, uses a Data science-driven approach to deliver cyber awareness training with a difference: its anti-phishing platform helps security teams quickly roll out and tailor campaigns to individual employees. In big companies, getting employees up to speed is especially challenging. With many locations, languages and time zones to contend with, Information Security teams have their work cut out.  CybeReady eliminates these challenges by delivering 12 personalised, 60-second simulations to each employee. In their first language, every year. What’s more, the training provider uses machine learning to analyse performance on a daily basis. This enables it to provide the most appropriate simulations to each individual. The result? IT teams save 160 hours each month and employee resilience increases five-fold. There’s no limit to what Data can do. If you’re a fan, we may have a role for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

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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