Statistical Analyst Jobs

What We Do

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

As it is with all data roles, Statistical Analytics roles are a component of data analytics. Statistical Analysts aim to garner insights from large amounts of data. What separates Statistical Analysts from other analysts is that they can mitigate the effects of ‘noisy data’ and support data mining. This discipline is unique, as it can tell brands how likely an event is to happen based on historical data, not just real-time insights. 

As Statistical Analysts, you will have an eye for detail and a fastidious nature for scrutinising every data sample in a set. You’ll have a curious mind set and be passionate about understanding how data impacts a business. With the increased demand to provide a more personalised and tailored experience for their customers, the range of technologies and techniques available to candidates has increased dramatically. We have great experience in building high performing teams across SAS, python and R environments.  

A different perspective

With an eye to the future, our history of placing top talent with satisfied clients is second to none.

This is the catalyst which drives many to work with us rather than our competitors. We keep our pulse on the trends within the industry and pass the knowledge on to our customers for their continued success. 

Work with one of the leading data and analytics recruitment companies and elevate your career to the next level.

Latest Jobs

Salary

£350 - £400 per day

Location

London

Description

Subscriptions Analyst needed with experience analysing subscription data!!

Salary

£30000 - £35000 per annum

Location

London

Description

Great opportunity for a VBA analyst to join a dynamic and influential research agency!

Salary

£50000 - £75000 per annum

Location

London

Description

This is an exciting opportunity for a technical Insights Manager to lead an advanced insights function of a leading sports tech platform

Salary

£45000 - £50000 per annum

Location

London

Description

Senior Insight Analyst for a premium travel tech company - SQL/R/Python - advanced statistics and machine learning

Salary

US$125000 - US$155000 per year

Location

New York

Description

Experienced as a manager but yet still love to be hands-on, building advanced predictive models using R and Python to predict customer behaviors?

Salary

£30000 - £35000 per annum

Location

City of London, London

Description

An opportunity to work in a collaborative team in a research agency,delivering critical knowledge to their clients regarding advanced analytics & data science.

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.

Dom Joly in Christmas jumper battle

Dom Joly, the comedian, has created two rival characters, Bjorn and Brian, who will lead a social media campaign for Save the Children around its Christmas Jumper Day event on 13 December. Save The Children launched Christmas Jumper Day last year to raise money and awareness for its charity work with children around the world. Joly appears in two videos on Save The Children’s YouTube channel. In one he is in character as Bjorn, who loves understated classic Nordic knits, while in the other he plays Brian, who favors kitsch bright "wacky" jumpers. Users will encouraged to take part in a Twitter battle from today to determine the most popular style of jumper, by taking a picture of their own Christmas jumper and tweeting with #xmasjumperday and the hashtag either #Nordic or #Wacky. The winning team will be the one that creates the most activity around its hashtag. All creative for the social media campaign has been managed in-house. Mark Weber, the head of digital analytics at Save the Children, said: "Last year we were overwhelmed with the response we had to the launch of our Christmas Jumper Day campaign – with thousands of people up and down the country donning their festive finest to raise money for us. "This year we wanted to create the opportunity for even more people to show their support and join in to help Save The Children, so with the help of Dom Joly we created 'Battle of the Jumpers', a light-hearted rivalry between two jumper styles – with the aim to make sure the whole nation gets into jumpers." A Facebook app called the Battle of the Jumpers Sweater Detector will launch in the next few weeks. It will analyze people’s Facebook timelines to tell them which jumper style they are best suited to. Click here for the article on the web.

How Data Is Making Mass Marketing Personal

“Pretend that every single person you meet has a sign around his or her neck that says, ‘Make me feel important.’ Not only will you succeed in sales, you will succeed in life.” – Mary Kay Ash, Founder of Mary Kay Cosmetics From the very first market stall, sales have always relied on convincing individuals that what you’re selling is meant for them. The ability to connect with a person’s instincts, likes, and dislikes, is one of the key skills of any good salesperson. But as sales have moved from the market to the masses, businesses have needed to be increasingly innovative with the ways they target their specific audiences. To do this, they’ve looked to data. However, as customers become increasingly sceptical of targeted ads, just presenting your audience with a tailored advert is no longer enough. We’re having to get creative with data. Speaking to the Masses One approach brands are utilising to be more creative is, rather than using data to target, they’re using it to inform campaigns for a wide-audience. For example, Spotify’s end of year campaigns use data to recap highlights of the past year. These range from broader data about what music performed well, to data highlighting unusual behaviour from individuals.  This tongue-in-cheek approach helped reaffirm Spotify’s position as a brand who represent the zeitgeist. Furthermore, it feels personal even though it isn’t specifically targeted. If users identify themselves as part of a group being discussed they can feel as though the ad is personal to them, even if it’s on a billboard in Time’s Square.  However, there are still some risks to being so transparent with your use of data. Netflix stirred up a minor controversy when using viewing data for a light-hearted tweet. Whilst some saw the funny side, others felt that the post was invasive. Either way, it got people talking and ultimately led to an increase in views of the film they mentioned.  Using Insights to Incite Change Whilst some companies, like Spotify, use data to reaffirm their current brand, others utilise it to help them define their position. This doesn’t have to take the form of a radical change.  Nike’s recent campaign was fronted by a divisive figure within the world of US sports, Colin Kaepernick. Whilst some audiences found the move controversial, Nike’s core audience of under-35s saw this as a principled stand, repositioning one of the world’s biggest companies as a challenger brand. The move paid off and Nike saw their share price rise to an all-time high as a result of the campaign.  Data also has its place in reshaping an actual product. Take Hinge, a dating app that started life with few differentiators from its competitors. In 2017, they relaunched with a revolutionised app informed entirely from insights from their existing userbase.  Their data told them that users were “over the game” of swiping and wanted an app that allowed them to make more meaningful connections. Armed with this information, Hinge re-established themselves as an app led by unique, personal insights through a UX and brand overhaul, and are now a major player in the world of online dating.    Getting Engaged Data-driven advertising is also an excellent way to engage your audience. For example. Snickers brought their ‘You’re Not You When You’re Hungry’ campaign to life in Australia with their ‘Hungerithm’ algorithm.  The algorithm scanned 14,000 social posts across three sites every day throughout a five-week period, searching for users in a bad mood. If they found a post complaining about a traffic jam or the weather, they’d send a personalised promo code for a discounted Snickers to the ‘Hangry’ user. Across the campaign over 6,600 coupons were redeemed, and both sales and online engagement dramatically increased. Additionally, by using data that people had publicly posted, rather than their own stored information, Snickers managed to swerve any controversy.  If you are looking to create personalised ads based upon cookies and profile data, you can engage your audience without appearing too invasive. Animal rescue non-profit, the Amanda Foundation, used data to target groups without appearing too specific.  Fans of staying in and reading books were shown programmatic banner ads suggesting they adopt a cat, whilst athletic types were presented with active puppies. By loosely targeting demographics they created personal adverts that didn’t feel overly intrusive.  If you can creatively interpret data to inform targeting strategies, we may have a role for. From Marketing Analyst opportunities to Campaign & CRM jobs, we work with some of the best agencies around. Get in touch if you’d like to know more. 

Recently Viewed jobs