Harnham

Web Analyst jobs

“Web Analyst” jobs measure, collect, analyse, and report on web data for the purpose of understanding and optimising web usage. Whilst some recruiters may just send any old candidate your way in the hopes they’ll be good enough, that’s not the Harnham way.

What We Do

We help the best talent in the Web Analyst market find rewarding careers.

We learn how our clients operate and the culture within their offices. This allows us to match businesses with a candidate who we are certain will prove to be a profitable addition to both their company and culture.

Over the past few years there has been a steep increase in the demand for expert Web Analysts; those who work effectively within Digital Analytics marketing, using web analytics tools to help improve a business’s web presence. No longer just an important role, Web Analysts are becoming a necessity. 

discover new trends

Whilst a company may easily be able to find information telling them where their profits are coming from, this is no longer enough.

As Digital Analytics marketing evolves, so does the need for identifying various forms of traffic.

We specialise in the data and analytics industry and we’re passionate about it. With an eye toward trends in the industry, we pair excellent talent with pioneering organisations and use our experiences to produce annual salary reports based on our own client and candidate data.

If you’re aiming to get ahead of the curve, or simply want to apply your expert analysis somewhere new, contact us today


Meet the team

Latest Jobs

Director of Digital Analytics
Salary

£80000 - £100000 per annum + Benefits

Location

City of London, London

Description

If you're a highly skilled Digital Analytics professional looking to step up a level but there's no room to progress then this could be what you're looking for

ADD TO SHORTLIST
DIGITAL ANALYTICS LEAD
Salary

€60000 - €70000 per annum

Location

Paris, Île-de-France

Description

Opportunité de Digital Analytics Lead au sein d'une société Ecommerce basée à PARIS.

ADD TO SHORTLIST
Digital Product Analyst
Salary

£30000 - £35000 per annum

Location

London

Description

A great opportunity to be a product analyst at this global vendor as an expert in their digital analytics product.

ADD TO SHORTLIST
Digital Analytics Specialist
Salary

£30000 - £40000 per annum

Location

London

Description

Receieve full training on the Adobe stack and the chance to specialise in app and social analytics at a global sporting giant

ADD TO SHORTLIST
Digital Analyst
Salary

£25000 - £35000 per annum

Location

London

Description

Monitor and optimise platforms for a market-leading eCommerce business, supporting the ambitious growth plans of the business

ADD TO SHORTLIST
Digital Analyst
Salary

£35000 - £55000 per annum

Location

London

Description

Chance to join a world-renowned digital marketing and media agency, helping to optimise cross-platform performance for a number of household names

ADD TO SHORTLIST

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.

Web analytics recruitment in 2015

The UK analytics market is an ever-shifting landscape, with technical skills that flit in and out of favour more frequently than primary school playground friendships. Recruiting into this market, we at Harnham find the demand for analysts with up-to-date skill sets is a constant. The subtle variants required within these skill-sets coupled with the proficiencies we need to find, seem to also evolve on almost a monthly basis. This means that Harnham need to be as agile in our practices as the candidates we source.  This is nevermore clearly illustrated by the fact that one month we can be scouring the country for highly technical Tag Management specialists, and the next, our focus shifts to sourcing 8 new Conversion Rate Optimisation specialists. Moving on to next month, pinning down the elusive and much sought-after Web Analytics / BI / Computer Science / Statistical modelling expert (aka. The mythical “Analytics Unicorn”). The Benefit of Forward Thinking Skillsets The diversity of technical requirements should give tremendous encouragement to any analyst looking to find work – regardless of background and skill-set you possess; there will definitely be no shortage of suitors clamouring for the right expertise. However, it is prudent to be ever mindful, that with this exciting and evolving landscape, there are also risks attached. How often have you heard stories of promised roles not being fulfilled by companies? Or about analysts who join a company to do a specific job, and then have their career development curtailed by lack of long-term strategy, or a lack of knowledge of what to do next for the team? This kind of thing is and does happen regularly. Yet, hope is at hand. If you were to cast your gaze across the Atlantic Ocean to our American cousins, you would find that Analytics is a settled and well established practice, where Chief Data Officers regularly sit on the board and the Analysts control business strategy. Becoming a Unicorn Harnham’s team in New York City have found the lines between offline and online blur when stateside – Web Analysts do advanced statistical analysis and modelling, Stats Analysts measure conversion rates and so on and so on.  The US is trying to breed their own “Unicorns”, rather than chase them. As the dust starts to settle in the UK, and the market definition solidifies to become as robust as it is in the States; teams will grow and budgets will increase as the market develops. The senior analysts of today will become the thought leaders and managers of tomorrow.

Daniel Lewis

01. October 2015

Using Data & Analytics To Plan Your Perfect Ski Trip

The Ski season may be drawing to a close, but it’s never too early to start planning for next year. Born and raised in the mountains of Austria, I have been skiing all of my life. For me, it’s about freedom, enjoying the views and forgetting about everything else.  But, since I’ve stepped into the world of Data & Analytics, I started to asked myself “what can I learn from my work that I can apply to my skiing”? After having a look around, I began to discover ways in which Data could support my passion. I’ve pulled together some of the most interesting things I’ve discovered and created this handy guide to help you prepare for your next trip. Here’s how you can use data to create the perfect ski trip.  Follow the snow Anyone who has skied before knows about the uncertainty before a trip. Will there be enough snow? Will the weather be good? Which resort is the most suited to my ability? Fortunately, somebody has already pulled this information together for you. Two "web spiders" were built via Scrapy, a Python framework used for data extraction, the first of which extracted ski resort data. The second spider, on the other hand, extracted daily snowfall data for each resort (2009 - present). After collecting Data from more than 600 ski resorts and spitting it into 7 main regions, the spiders were able to form a conclusion. The framework then pulled out key metrics, including the difficulty of runs, meaning that skiers are now able to decide which resort is most suitable for their ability.  As for the weather, onthesnow.com has recorded snowfall data from all major resorts, every year since 2009. We all know that good snow makes any trip better, so the collected data here will help skiers ensure they are prepared for the right weather, or even plan their trip around where the snow will be best.  Optimise your skis Ski manufacturing is a refined and complicated process, with each ski requiring many different materials to be built. Unfortunately, this often results in the best skis running out quickly as supply outspeeds demand.  To help speed up and improve the process, companies are implementing technologies like IBM Cognos* that monitor entire supply chains so that no matter how much demand increases, they have the materials to meet it.   Additionally, since the majority of companies have become more data-driven, production time has been reduced by weeks. Predictions for future demand has also become 50% more accurate, resulting in a drop of 30% idle time on production lines. Skip the Queue Tired of queuing for the ski lift? There’s good news. As they begin to make the most of data, ski resorts are introducing RFID* (Radio Frequency Identification) systems. These involve visitors purchasing cards with RFID chips included, allowing them to skip queues at the lifts as there is no need to check for fake passes. The data can then be utilised for gamification platforms to turn a skier’s time on the slopes into an interactive experience.  The shift towards Big Data not only has advantages for the visitors, but the management are also benefiting. In the past, it has been difficult to analyse skier’s data. Now, with automated and proper data management, the numbers can be crunched seamlessly and marketing campaigns can be directed at how people actually choose to ski.   Carve a Better Technique Skiing isn’t always easy, especially if you haven’t grown up with it. Usually, ski instructors are the solution but, in the age of Data & Analytics, there are other solutions. Jamie Grant and co-founder Pruthvikar Reddy have created an app called Carv 2.0, which allows you to be your own teacher. It works by using a robust insert that fits between the shell of your ski boots and the liner. It then gathers data from 48 pressure sensitive pads, and nine motion sensors.  This data is fed to a connected match-box size tracker unit, sitting on the back of your boots, before being relayed via Bluetooth to the Carv App on your phone. Carv can then measure your speed, acceleration and ski orientation a staggering 300 times a second.  Thanks to a complex set of algorithms this data is then converted into an easy to follow graphic display on your phone’s screen as well as verbal feedback from Carvella. The accuracy of this real-time data could make it a better instructor than any individual person.  Data & Analytics are helping streamline every part of our lives. Whilst the above can’t guarantee a perfect ski trip, they can help us minimise risks and optimize our performance and experience.  If you’re able to use data to improve day-to-day living, we may have a role for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

Marcel Mathis

04. April 2019

Recently Viewed jobs