Analytics Jobs



We know that without suitable analysis, the data gained from Marketing and Insight work cannot contribute to business growth. Whether focused on online customers or the effectiveness of marketing channels, analysts look into the past and present of organisational performance to help secure a better future.

The significant work that goes into tracking, studying and interpreting information makes data analysts of every specialism invaluable. We understand this and maintain an in depth expertise of the sector to guarantee we offer a truly specialised consultancy. 

OUR BUSINESS IS BASED ON ENABLING INSIGHTS

As the leading data and analytics recruitment team in the UK, we believe our role goes beyond introducing skilled people to exciting companies. We publish an annual salary guide and are happy to offer advice, through our online materials or a conversation.

If you would like to find out more about how we can help you further your Analytics career, get in touch.

Latest Jobs

Salary

£40000 - £50000 per annum

Location

City of London, London

Description

Are you a senior insight analyst with a technical background using SQL and Python on R? This is an exciting opportunity to work for a global company

Salary

£25000 - £35000 per annum

Location

London

Description

Looking for a web analyst to own the analytics space with a passion for fashion!

Salary

£35000 - £50000 per annum + competitive benefits package

Location

Reading, Berkshire

Description

I'm currently recruiting for this SAS Reporting Analyst near Reading!

Salary

£50000 - £65000 per annum

Location

City of London, London

Description

An opportunity for a Python data engineer with experience with Azure who wants to deliver the data for advanced analytics.

Salary

£50000 - £55000 per annum + benefits

Location

London

Description

This is a fantastic opportunity with an analytics consultancy as a Paid Search Consulting Lead

Salary

£75000 - £100000 per annum + Additional Benefits

Location

London

Description

Join one of largest retailers in the UK, held at the heart of British culture, as well as one of the first to become environmentally friendly!

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.

A decade of data

A Decade of Data

Y2K was nearly 20 years ago. Remember when we were all worried about the massive changes that could mean; the preparations we made getting ready for the turn of the century? Ten years later, we scoffed at our worries and hopped on the Data bandwagon…some of us. Others are still trying to catch up but in recent years, most businesses have realised it isn’t a matter of “if” you should have a Data strategy and begin to build your team, it’s a matter of “if you don’t do it, you’ll be left behind.” As the year and the decade come to a close, we thought we’d take a look back and see some of the trends which have shaped a decade of digital transformation. And like everyone who takes a moment to look back and reflect, in our next article, we’ll take a look forward and see what surprises 2020 has in store. Data Trends Then and Now Still reeling from the financial crisis of 2008-2009, budget concerns were top of mind for many. The takeaway? Plan, and be flexible.  Other trends which began in 2010 still exist today, but the vocabulary has changed. And there are further changes still which impact our technologies today and in ways we may not have realized. Train and Retrain becomes Upskill and Reskill. In 2010, organisations were advised to train, and cross train their staff. Not much has changed in ten years as it’s just as important now. Only the vocabulary has changed. Now it’s upskill and reskill those employees with the skill and inclination to pivot into more Data-centric roles within your company.Colocation Concerns Give Rise to the Cloud. Astronomical real estate costs for Data centre space and colocation prices drove businesses to find another way to store and manage their Data. As Cloud Computing spread, it allowed companies to avoid costly IT infrastructures. Not only did this save money, but it also gave businesses the flexibility they needed. In addition to the benefits of enterprise level organisations, cloud computing levels the playing field for smaller businesses to get in on the game.Virtual in the Palm of Your Hand. Smartphones and apps offer project management of our businesses and personal lives from “what’s for dinner?” to “let’s schedule our next meeting.” Our smartphones are a one-stop shop for phone calls, text messages, video conferences, scheduling, communication with remote teams, online banking, bill pay, and more.Eco-friendly is not an option, it’s an imperative. Carbon-emissions and reduction plans were already abuzz within companies. Today, Data has evolved from LEED green building certification to massive advances and predictions on the climate crisis. Standards are set.Blockchain finds friends in finance, and beyond. Though it debuted in 2008 in the finance industry, it was quickly snapped up in every industry from manufacturing to retail to shipping; any business requiring a more organised supply chain.  Rise of Automation and Artificial Intelligence (AI) offers benefits beyond basic tasks. While this evokes fears for many in the workforce, there are benefits which is what’s driving things forward. While this is intended to streamline processes and avoid health risks in dangerous places like factories, there is still some cause for concern. However, some studies suggest people are happy to allow computers to take on mundane, routine, and menial tasks, freeing humans to think more creatively.  Getting Social Goes Online. Though platforms like Facebook and MySpace (yeah, remember MySpace?) were already available in 2010, the plethora of platforms today was a glimmer in our smartphones’ eye. No longer relegated to youth culture, social media has become one of the most important ways for leaders and corporations to communicate with people.  The Information Age has morphed into the 'Data Decade', with improvements across Data and Analytics, AI, and Machine Learning just to name a few. It’s enhancements within these spectrums which allow Data professionals to search and sort more quickly to provide the most useful Insights for their enterprises.   It’s estimated that in the next couple of years, 90% of companies will list information as critical and Analytics as essential to their business strategy. If you’re interested in Marketing & Insights, Robots and Automation, Big Data and Digital or Web Analytics, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

‘Tis The Season Of Data: Black Friday Is Here

‘Tis The Season Of Data: Black Friday Is Here

It’s that time of year again. Decorations are going up, the temperature is dropping daily, and the year’s biggest shopping weekend is upon us.  Black Friday and Cyber Monday may have started stateside, but they’re now a global phenomenon. This year, in the UK alone, shoppers are expended to spend £8.57 billion over the four-day weekend. But, for retailers, this mega-event means more than a cash injection. In the world of Data, insights gained from shopping and spending habits during this period can dictate their product and pricing strategies for the next twelve months.  So what is it, exactly, that we can stand to learn from the Black Friday weekend? THE GHOST OF BLACK FRIDAY PAST There are a few interesting takeaways from 2018’s Black Friday weekend that will likely impact what we see this year.  Firstly, and perhaps unsurprisingly given that it’s a few years since the event has become omnipresent, spending only increased about half as much as initially predicted. There are a number of reasons for this, but cynicism plays a central role. More and more, consumers are viewing Black Friday deals with an element of suspicion and questioning whether the discounts are as good as they’re promoted to be. This, combined with other major annual retail events, such as Amazon’s Prime Day, means that this weekend no longer has the clout it once did.  However, 2018 also saw marketers doing more to stand out against the competition. Many businesses have moved away from traditional in-your-face sales messaging and some are even limiting their Black Friday deals to subscribers and members. By taking this approach, their sales stand out from the mass market and can help maintain a level of exclusivity that could be jeopardised by excessive discounts. In addition to branding, marketers making the most of retargeting saw an even greater uplift in sale. Particularly when it came to the use of apps, those in the UK using retargeting saw a 50% larger revenue uplift than those who didn’t.  So, having reviewed last year’s Data; what should businesses be doing this year in order to stand out? GETTING BLACK FRIDAY-READY WITH DATA Businesses preparing for Black Friday need to take into account a number of considerations involving both Marketing and Pricing. For the latter, Data and Predictive Analytics play a huge role in determining what items should go on sale, and what their price should be.  Far from just being based on gut instinct or word-of-mouth, algorithms derived from Advanced Analytics inform Machine Learning models that determine what should be on sale, and for how much. These take into account not only how many of each discounted product need to be sold to produce the right ROI, but also what prices and sales should be for the rest of the year in order to make the sale financially viable.  In terms of Marketing, Deep Learning techniques can be used to accurately predict Customer Behaviour and purchases. These predictions can then reveal which customers are likely to spend the most over the weekend, and which are likely to make minimal purchases. Marketers can then, in the lead up to Black Friday, target relevant messaging to each audience whether it be “get all you Christmas shopping in our sale” or “treat yourself to a one-off item”. By carefully analysing the Data they have available and reviewing the successes and failures of their Black Friday events, businesses can generate greater customer loyalty and improve their sales year-round. If you’re looking to build out your Marketing Analytics team 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 expert consultants to find out more. 

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