Testimonials



CANDIDATES


Credit Risk Manager

"My experience with Harnham was very positive. Although I was new to the UK, they studied my CV and understood my background, so very quickly they were able to find roles that suited my previous experience. They helped me prepare thoroughly for all of my interviews and gave me prompt and clear interview feedback from their clients.

Throughout the process they also helped me when it came to managing my own expectations. I would sincerely recommend Harnham to my friends and colleagues and I will not hesitate to contact them in the future if I think about changing jobs again."


Business Intelligence Consultant

"I was approached by Harnham who quickly contacted prospective companies on my behalf. It was clear when I worked with them that they were well respected amongst their clients and this reflected well on my CV. Harnham kept in regular contact and provided useful feedback on the interviews I had. I have already recommended them to friends in the industry."


SAS Programmer

"My experience with Harnham was everything a candidate should expect from a recruitment company. They are the only agency that I would have no hesitation in recommending." 

CLIENTS


HR Director – Major Blue chip pharmaceutical company

"We have developed an excellent working relationship with Harnham. They understand the needs of our business and consistently deliver a high quality service. Harnham adopt a professional and honest approach with regards to the candidates they put forward, and they give excellent feedback on the market conditions which enables us to remain a competitive and attractive employer." 


Global Sourcing Manager – Internet company

“We have worked with Harnham for three years now, sourcing candidates for business critical analytics roles. They are a skilled, professional and dedicated team and the ease with which Harnham consultants interpret our requirements and match them to high-calibre professionals means we have consistently been able to capture the best people in the market. Harnham is always our first point of call for ensuring successful analytical placements.” 


ND – Head of Credit Risk

"The most important aspects of an agency relationship for us are delivery and professionalism. We have found Harnham to score very highly on both of these as well as providing helpful honest feedback on the state of the market and their candidates capabilities." 


Head of Customer Analytics – International Retail Bank 

“Harnham has assisted us over the past 10 months to help expand our customer analytics function. They are a professional, committed and knowledgeable team who have provided high quality candidates and have understood our requirements thoroughly. They have consistently delivered high-calibre professionals for our team and will be an ongoing source for analytical placements.”

GLASSDOOR REVIEWS


Explore the reviews from our happy candidates, clients and staff on Harnham's Glassdoor page.

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.

Data Storytelling Vs Data Visualisation

Data Storytelling vs Data Visualisation

The demand for “unicorn” employees is growing. Those with humanities and communications skillsets are now in demand, alongside those who specialise in Computer Science, Data Science, and anything technology-related. So, what exactly is the world looking for today? Well, with the plethora of online learning opportunities available, the ramping up of technology courses both online and offline, and a cadre of storytelling books on the shelves; answering the question can seem daunting. But there are two ways in which you tell your story. They’re not separate exactly, but they do have their own parts to play. What is Data Storytelling? In a nutshell, it’s the ability to tell a story using the Data you’ve collected and analysed. So, how does this work exactly, and why would someone use it? This way to explain what’s happening the Data to stakeholders and executives helps paint a picture of their company in a different way. And unlike traditional storytelling, this type has facts and figures to back it up. But that’s only half the story. By taking a wider view of Data storytelling, you can provide stakeholders with the big picture in a way that’s relevant and engaging. But you still need the Data to back it up. This is where Data Visualisation comes in. Think of it as the Graphic Novel of your business’s story. Content is the narrative and images are the visual behind the narrative cementing the story in your mind. What is Data Visualisation? This is how you define your story, and you can do this in a variety of ways. You can use Data Visualisation software to help guide your story and keep you on track in the details. Seeing is believing and can help persuade a call-to-action from decision makers. In a nutshell, Data Visualisation enhances storytelling using traditional techniques such as a “hook”, and embodies the basic structure of beginning, middle, and end. And while those in the marketing world know how to draw emotion and get people to act on it, Data Storytelling provides a new, useful skill for Analysts. What are the Elements of a Good Story? First, understand the story you’re telling. While visualising the results happens at the end to cement the story you’re telling, the heavy lifting is done in Data preparation. It’s not unlike baking a cake; you spend more time buying (collecting/gathering) the ingredients, mixing them, and organising (which pan, how long, and at what temperature), than you do baking the cake. The end result is the smell of something freshly baked, that looks amazing (visualisation), and tastes phenomenal – where the story and the visuals come together. Second, identify the main characters; your Data elements. You need ask yourself what is the relationship between your characters (Data elements) and was is their role in the story. This can help you bring together two disparate Datasets. Ask yourself, what tools would you need to make things work together? This is the preparation side of things. Once this is sorted, you have the elements of your story.  Keys to Good Data Storytelling Choose the right subject Source credible DataCraft an interesting, engaging, or enlightening narrativeEnsure your story provides meaning and valueEnsure you’re using credible Data to back up your story.Blend narrative and visuals which can cement the information and make your story stick.Choose relevant, useful topics for a more engaging story. You want your listeners to resonate with what they’re hearing or seeing. When people are engaged, this is where the emotion comes in. Stories come from a variety of sources, but are essentially either internal (you or your organisation) or external (trade publications or industry leaders). For content marketing, external sources offer a variety of ideas to tailor your story around. But what best will resonate with your audience is your internal story. Those tailored to pain points or interests are particularly valuable.  Remember that Data storytelling is not a story about numbers; it’s about humans and how those numbers affect them.  If you’re interested in Data Storytelling and Visualisation, we may have a role for you. Take a look at our current vacancies or get in touch with one of our expert consultants to find out more. 

Data & Berlin: Looking To 2020

Data & Berlin: Looking to 2020

Following our recent Data & Analytics meet-up at our new Berlin offices, I’ve been reflecting on some recurring challenges faced in our industry. A number of our speakers all touched on the same topics and, having looked around, it seems they aren’t the only ones who are concerned about staying ahead of the curve.  In a market of constantly shifting priorities and 2020 just around the corner, I’ve highlighted some of the main themes that keep coming up, and are worth bearing in mind as you begin to look at your Data & hiring strategies for next year: Retention Retention remains a highly important issue for businesses, as covered here, and we heard a number of insightful talks on the topic at our event. In particular, both the optimisation of workloads and the essence of customer centricity and autonomous teams were highlighted as key issues. Both providing interesting approaches to ensuring your workforce remains engaged and happy and  we will be releasing further information on these talks soon so, if you missed the event, watch this space or sign up to our mailing list to keep up to date. Cyber Security Following a number of high-profile data leaks (including the sensitive data belonging to hundreds of German politicians, celebrities and public figures less than one year ago), security really is at the forefront of everyone’s minds. Integrating Security into the DevOps cycle is becoming more and more popular as businesses increase their security and reliability alongside their speed of deployment. If you're interested in knowing more, the Puppet “State of DevOps Report 2019,” is well worth a read. Analysing Data How we analyse and use Data as a business is becoming more and more important as enterprises look to stay at the forefront of their fields and remain relevant in this Data-centric world. With so many different technologies and techniques used to quickly process & analyse data, Data Science, Machine Learning & Business Intelligence professionals are becoming more and more sought after. Recruiting & onboarding The recruitment and retention of staff is frequently the most important thing on the agenda of many businesses, not just in Data. Making sure your recruitment process in a candidate-led market is as streamlined and relevant as possible is something that should be a priority for any expanding business. From my experience, many companies write up their process, then stick with it for years and, whilst this can create consistency, in such a fast-paced and evolving industry is this necessarily the right thing to do? Here's one of my colleagues on attracting the right candidates and I also intend to put together my own article on creating an effective Recruitment Process for your business next week.  If you’re looking for support with your Data Science hiring process, get in touch with one of our expert consultants and we'll able to advise you on the best way forward. 

The Next Generation Of French Web Analysts

The Next Generation Of French Web Analysts

The role and purpose of Web Analysts has evolved over the last few years, and now there are a number of different types of candidate profile across the French marketplace. Whilst, traditionally, Web Analysts focused on Data pulled from websites before using their findings to make business recommendations on how to improve the site and streamline user experience.  However, as, digital channels, including apps, social media and mobile devices have multiplied, the amount of Data available to gather insights from has increased dramatically. Web Analytics has become Digital Analytics as a result of the need to quantify and better understand customer behaviour regardless of the channel or device used.  Across the world’s leading technology hubs, the role of the Digital Analyst is no longer to just relay insights from a company’s website, but to analyse different Data sources, work with complex technologies and tell stories with their findings. We’re now seeing the same evolution take place across the French market.  Today's Web Analysts  Throughout the era of digital measurement and optimisation tools, the use of AB tests and MVT tests has allowed Web Analysts to trial different online solutions for their enterprises. Nevertheless, until recently, these have remained centred on only one channel; the website. Over recent years, however, new categories of Analytics have now emerged, all of which need to be viewed as equally important:  In-store Analytics: The measurement of physical store Data, a real-world equivalent of web analytics. Mobile Analytics: The analysis of users’ traffic and behaviour on mobile sites and applications. Social Analytics: The analysis of Data from social networks such as Facebook, Instagram or Twitter.  As a result of this diversification, businesses are now not only looking for technical Web Analysts who can work with Google Analytics or Adobe Analytics and implement tags with GTM or DTM. There is now an appetite to go further and deeper with their analysis and Web Analysts who can use tools such as Big Query/ SQL, R or Python are high in-demand. A candidate with ‘Data Web’ vision, a strong knowledge of Data and KPIs in different business models, stands out amongst ever-increasing competition.  Furthermore, as Web Analysts use a lot of Data, particularly personal Data, a strong knowledge of GDPR and the legal implications of their work are also incredibly beneficial.  In other words, Web Analysts are becoming more versatile. No longer siloed to their own space, Web Analysts should have experience of collaborating with marketing and technical teams, as well as to top management and senior stakeholders.  Tomorrow's Web Analytics With this progression of Analytics tools and skillsets, Digital Analysts are now playing a more important role in businesses than ever before.  As they continue to present new ways of interpreting and visualising Data, their impact on the bottom line is being felt more significantly than ever.   As a result, Web Analysts are now open to significantly more professional opportunities. Specifically, if they have a strong technical skillset and a business mindset, they can move into a Digital Business Analyst or Data Scientist position. This means that the best candidates are in incredibly high-demand and businesses need to be sure of what skillset they need before beginning a recruitment process.  For example, a company recently going through a big change in tools migration, such as moving from Adobe to GA, would be in need of a strong technical Web Analyst who can implement those tools. A business that is further down the line with their capabilities, on the other hand, may be looking for a candidate with a real business vision, in additional to an analytical skillset, who can make informed business recommendations. Whilst the French market may be in transition, we’re already seeing these changes take place in other regions. In the UK, there is a large amount of conversation around ‘Digital Intelligence’, and Web Analysts are now beginning to be viewed as important as Data Scientists within many leading organisations, partially because these roles are overlapping more and more. In fact, the lack of appreciation for Web Analysts in France is a point of contention for many candidates, something that was discussed frequently at this year’s MeasureCamp Paris.  Businesses who are looking to hire, and retain, Web Analysts need to be aware of this mindset. Candidates often share their apprehensions around the lack of training offered within their companies, as well as concerns about investment in their area. As Web Analysts continue to upskill, enterprises need to make sure they continue to offer growth, opportunity and a good working environment, particularly if they are seeking domestic talent.  Whether you are looking to expend your Web Analytics function or take the next step in your career, we can help. Take a look at our latest opportunities or get in touch with one of our expect consultants to find out more. 

How AI Will Revolutionise CRM

How AI Will Revolutionise CRM

If we can be sure of anything in today’s business climate, it is that new trends will emerge and disrupt, new technologies will continue to be developed and attract hype, and companies will be left to navigate a landscape of opportunity and uncertainty. Customer Relationship Management is an upright concept or strategy to solidify relations with customers whilst at the same time reducing cost and enhancing productivity and profitability in business. CRM systems provide a well-defined platform for all business units to interact with their customers and fulfil all their needs and demands in order to build long-term relationships. Every business unit has an emphasis on developing long-term relationships with customers in order to nurture their stability in today’s blooming market. Customer’s expectations are now not only limited to get best products and services, they also need a face-to-face business in which they want to receive exactly what they demand and in a quick time. New Look CRM CRM is vital for the success of any organisation that seeks to continuously build relationships and manage countless interactions with customers. Now CRM systems bring together customer Data from a multitude of different sources, delivering it to all customer-facing employees to provide a complete picture of each customer across all department Today, there is a ton of available information across many devices and platforms. Companies need a way to integrate this “Big Data” into their intelligent CRM that can produce predictive results. The Value of AI Artificial Intelligence (AI) CRM systems built on Machine Learning algorithms now have the ability to learn from past experience or historical Data. Having these insights at the disposal of any customer-facing employee (sales, support, marketing, etc.) empowers a business to build deeper relationships with its customers. As a result, integrating AI and Machine Learning with CRM can deliver more predictive and personalised customer information in all areas of your business. By predicting customer behaviour, companies can take personalised actions to avoid the use of invasive advertising and to provide material of real interest to each prospect. There is no question personalising communications to customers has become critical. Today’s buyers demand more than a “spray-and-pray” email blast. A recent McKinsey study found that personalisation can lift sales by 10% or more. The analysis also showed that by personalising just 20% of email content, open rates increased more than 40& on average. Reply rates also increased a whopping 112%. As a CRM stores all the information in one centralised place, this makes it a lot easier to analyse your performance as a whole. This helps businesses build a relationship with their customers that, in turn, creates loyalty and customer retention. Since customer loyalty and revenue are both qualities that affect a company's revenue, a strong CRM have a direct result in increased profits for a business.  Those that use Big Data & Analytics effectively show productivity rates and profitability that are higher than competitors and those that put Data at the centre of their marketing efforts improve their ROI by 15-20%.  AI and CRM AI is becoming an ever-present theme across a variety of industries, from healthcare and retail to software development and finance. CRM vendors are no different; over the past year, numerous CRM vendors have introduced AI components into their product offerings. AI will develop in parallel with user interactions using various touch points within CRM and evolve continuously to deliver more intelligent and personalised actions. Learning critical patterns will also enable AI-infused CRM to automate certain actions, decrease the manual work required, and empower sales and marketing professionals to work more efficiently and effectively. The inefficient processes that hinder CRM will no longer be acceptable, and AI-powered automation will play a much bigger role in streamlining workflows. The rise of AI presents businesses with a wide array of unique benefits and opportunities. It can empower them to provide better, more relevant experiences to their customers and forge bonds with them in a way that was simply not possible before.  It’s estimated that 85% of businesses will start implementing AI solutions for their CRM by 2020. It seems inevitable that with further advancements, AI will move from a novelty tool to a must-have feature and dire necessity of every business. If you’re looking for to build a team of CRM experts, or to take the next step in your career, 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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