Harnham

Clients

What We Do

Put simply, we deliver the most suitable and highly skilled professionals into your Data & Analytics team.

Whether it is Marketing & Insight, Risk Analytics, Data & Technology or Digital Analytics, for the team at Harnham it is key to fully explore and understand the career aspirations of our candidates. We do this whilst developing an in-depth knowledge of each marketplace and its emerging trends, as well as the different types of organisation that we work with and their diverse skill requirements. Only then, once we have the full picture, are we able to deliver resourcing solutions that ensure the very best outcome for all our customers.

HOW We Do IT

We offer our clients a complete recruitment solution across the breadth of Data & Analytics disciplines.

Our original business focus was within UK Data & Analytics but we have expanded to specialise in recruitment across a much wider variety of roles throughout the USA, along with the UK and Europe. Our continued focus on analytics means we gain valuable and current market knowledge along the way, ensuring we can offer you a truly specialist focus, which is second to none within our marketplace. We manage permanent and contract resourcing for all skills within Data & Analytics and, as members of APSCo, you are guaranteed a service based on excellence, best practice, quality, integrity and expertise.

What
sets us apart

We are here to make your recruitment process simple, easy and ultimately successful for everyone.

Our recruitment solutions are determined by tried and tested methods to ensure an effective solution for all concerned. Our focus on establishing networks of skilled individuals, as well as knowing our client businesses, culture and skill requirements guarantees we have a high success rate on our placements. 


Latest Jobs

Associate Director, Paid Social
Salary

US$80000 - US$100000 per year + Commission

Location

San Francisco, California

Description

Associate Director position leading the Paid Social team in a data-driven San Francisco ad agency.

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Senior Data Scientist
Salary

£60000 - £80000 per annum + Benefits

Location

East London, London

Description

This is THE perfect opportunity for an ambitious a data scientist who enjoys the hands on side, but also loves seeing the impact of their work.

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Predictive Insight Analyst
Salary

£35000 - £70000 per annum + bonus and benefits

Location

City of London, London

Description

A well-known food delivery company are growing their data science team and are on the lookout for commercially minded predictive analysts.

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Insight Analyst
Salary

£25000 - £35000 per annum

Location

Leeds, West Yorkshire

Description

Looking to join a leading financial services company? Want to work in an exciting environment? Then this is a great role for you!

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Data Analyst
Salary

£35000 - £45000 per annum + Bonus

Location

London

Description

Are you looking to join a leading retailer, with access to an unprecedented amount of data? Are you looking to learn new tools and techniques? Read on!

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Senior Marketing Analyst
Salary

£50000 - £55000 per annum

Location

Kingston upon Thames, Surrey

Description

Opportunity to work with a growing tech team based in Kingston!

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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.

3 questions to ask yourself before your next BI hire

Data & Analytics are a vital part of every organisation nowadays, so it is not surprising that the importance of Business Intelligence keeps growing. With increasing demands from executive management, operations, and sales, a stronger and better BI team is essential.  The responsibilities of the BI team include but are not limited to: performing Data validation and Data Analysis, delivering KPI related reports and dashboards, and working with end users to define business requirements and needs. However, as every company is different, every BI department is different as well. This means that from one BI team to another, the needed skills can vary completely. To get the most out of your team, it is important to have a clear understanding of what skills you already have, which skills you need to add with your next hire, and whether this is realistic for your business.  Here are three important questions to ask yourself before your next BI hire:  1) What does your team look like at this moment? To be successful in expanding your team, it is vital to take a closer look at the type of profiles and skillsets you already have. This is a good time to map out where the skills are in your team and see what is lacking, or what can be improved. To do so, you should consider three key elements: how (much) Data is used and made available, how this Data is structured and what is being done with this Data. The following three questions are important here:  Do you get the right Data out of your Datawarehouse/Data Lake? How is the Data structured now, and do you get the reports and dashboards needed?  Are you able to provide stakeholders with the right insights? These questions can function as starting point of deciding what skills you have now, and which areas to focus on with your next BI hire to fill in gaps or improve the areas where needed. 2) What does your Data Roadmap look like?  It is important to have a clear vision of where you want to go with your BI team and how to leverage your Data. At the highest level, your vision will be determined in a Data Strategy. On a more practical, day-to-day level, the steps to take are outlined in a Data Roadmap, with every part of the process requiring a different skillset. 
 What we often see is that companies who are at the start of their Data Roadmap, first hire a Data Analyst. Typically, a Data Analyst knows how to work with the Data and has a strong business sense but is not a specialist in either field. On the other hand, when the Data infrastructure has been set up, the need is higher for someone who can make sense of the Data and present this in reports and dashboards.  Two key points to consider: What is the next step in your Data Roadmap?  What type of skillset is needed to get to that next step? For example, this can be technical skills such as building Data Pipelines or stronger analytical skills to get insights from the Data.  By having a clear understanding what phase of your Data roadmap is next, it will be easier to hire the next member of your team. 3) What is realistic for your business? While you may know what type of profile(s) to hire next, it is important to determine whether this is feasible. The following factors are important to consider: As with every field of expertise, the salary ranges depend on which type of profile you are looking to hire. It is vital here to ask yourself where to invest your money best. For example, it is great to have an Insights Analyst in the team, but is this type of profile the main priority? You might want to first hire a Data Analyst to structure the Data and build useful reports. The candidate market within Data & Analytics is tight, so think about what you can give them in return to attract the best talent. A training program for personal development and the possibility to work flexible hours are two selling points that make your company stand out from the rest.  Location is key for many candidates. Businesses in larger cities are more popular with strong candidates in comparison to more remote businesses.  It is clear, therefore, that multiple factors are involved in determining what your next BI hire should be in terms of skillset and profile.  If you are looking to expand your BI function but not sure where to start, get in touch and I can advise you on the best next steps.  

Dorien Marijs

13. February 2019

Thank You, Next: How Machine Learning Is Revolutionising The Way We Make Music

From Vinyl to Tidal; we all know that the way we consume music has changed. Technological advances have made Steve Job’s claim that he would put “1,000 songs in our pockets” seem antiquated, whilst Spotify’s algorithms serve us tracks that we’ll love before we’ve discovered them ourselves.  But can the technologies that have brought us these advancements change the way we make music? Whether it’s leading to new instruments or creating a song without our input, Artificial Intelligence is a game changer.  Make Some Noise Until recently, the best way to imitate a sound was by experimenting with the different settings on a keyboard. However, this is no longer the case, thanks to Google’s research arm Magenta. They’ve created the NSynth Super, an instrument that generates sounds based upon Deep Neural Network techniques.  These algorithms allow the NSynth to not only imitate a sound, but consistently learn more and more about the specificities of that pitch, creating something closer to reality. Users can then combine those individual sounds to create something unique and entirely original. This is potentially just the beginning of a new wave of music, and in a decade’s time the NSynth could end up having as big an impact as autotune.  Talking About AI Generation Whilst we’re still waiting to see the impact of instruments akin to the NSynth, machine-led compositions are becoming more and more commonplace. Using a Recurrent Neural Network (RNN), one can feed a model existing music and ask it to generate something new. By learning the patterns and rhythms of notes from a variety of compositions, the model should be able to output an original and melodical sequence. Although these may not be the most amazing tracks in the world, they do serve a purpose. Music production platform Jukedeck allows users to input their requirements for a piece of music (genre, temp, mood, length, instruments etc.) that can then be automatically generated using AI. Obviously these aren’t designed to be chart hits, but production music that can be purchased cost-efficiently for YouTubers, Short Films and other backing-tracks.   Despite the fact that this remains the most common use of AI in music, some artists are looking to push this even further. Musician Taryn Southern, for example, has created an EP based purely on AI compositions generated using Amper Score. The platform generated a beat, melody and basic structure before Southern then rearranged and added lyrics too. Could this form of collaboration become the future of mainstream music? Rage Against the Machine Learning As with any change, AI’s interruption of the music industry is not without controversy, and there are those who believe that the human contribution is what makes music what it is.  Indeed, there are still several limitations to what AI can achieve creatively. Despite a neural network’s success with creating original compositions, another’s ability to write lyrics was somewhat lacklustre. Despite being trained on a combination of lyrics (for structure), and literature (for vocabulary), its output was largely nonsense and included lines such as “I got monk that wear you good”.   Perhaps, like Southern’s compositions, AI is best used as an accompanying tool. London-based start-up AI Music offer technology that ‘shape-shifts’ songs to adapt to the context in which they’re played. This could be anything from tempo changes to match a listener’s speed to remastering tracks to appeal to different moods and situations. IBM’s Watson Beat, on the other hand, creates compositions that naturally fit to the visuals of a video. In this context, as within many other industries, AI looks set to support our existing skillsets rather than replace jobs.  Whether you’re looking to create collaborative technologies or revolutionise an industry, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our specialist consultants to find out more.

Luke Frost

07. February 2019

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