Harnham

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.

Meet the team

Latest Jobs

Senior Data Scientist
Salary

US$150000 - US$175000 per year

Location

New York

Description

Do you understand why customers buy what they buy and what motivates them to spend their money?

ADD TO SHORTLIST
Senior Data Scientist
Salary

US$130000 - US$140000 per year

Location

Connecticut

Description

Can you take a global consultancy to the next level in optimizing their customer data across all channels?

ADD TO SHORTLIST
Senior Data Scientist - Predictive Modeler
Salary

US$120000 - US$140000 per year + Benefits

Location

Boston, Massachusetts

Description

This is a Senior Data Science role where you will be developing predictive models to predict customer behavior to deliver better customer experiences!

ADD TO SHORTLIST
Director of Data Science
Salary

US$190000 - US$230000 per year + Benefits, Equity

Location

New York

Description

A senior level position for data science where you will be hands on building out statistical models while growing and guiding junior data analysts on the team!

ADD TO SHORTLIST
Director Advanced Analytics
Salary

US$150000 - US$175000 per year

Location

Rochester, New York

Description

Director of Advanced Analytics in Rochester, NY! Please check out if you are passionate about leveraging analytics across all areas of business.

ADD TO SHORTLIST
Senior User Research Manager - Advanced Analytics
Salary

US$175000 - US$200000 per year

Location

New York

Description

Are you a User Research expert with strong technical skills in Python, R and SQL? If so and you want to join a global company, then get in touch!

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.

How movie studios use data

Lights, Camera, Data

Whilst Data continues to play a huge role in all aspects of life; developing businesses, schools, health care etc., one industry has already seen a massive impact from the Big Data revolution. The film industry, and its television counterpart, were among the first see to the potential of how Data can transform the way they work.  Beyond profit, access to new types of Data is allowing companies to consider what audiences will be most interested in at specific times, utilising current viewing habits, what topics are the most popular on social media, and even the news so they can create something that tailors to everyone’s different interests. The Streaming Revolution Netflix’s popularity is down to more than the variety of movies and series it has to offer. Its pioneering use of recommendation systems, originating when it was purely a DVD rental service, means that it always knows what its subscribers want to watch, when they want to watch it, and on what device. Their ability to tailor bespoke recommendations, down to which poster people see, has created an entirely different approach to how viewers chose and engagement with entertainment.  Netflix’s Data collection means that it knows its audiences very well, something they can utilise as part of their marketing. By contrast, even a behemoth like Disney can struggle to compete. Following the success of 2015’s Star Wars: The Force Awakens, Disney Chairman, Bob Iger admitted ‘we don’t have any idea who went to see Star Wars in the cinemas’. Whist this may have not been too much of a problem at the time, given the film’s $2 Billion box office, the diminishing returns of the films that have followed suggests that better insight as to why the film was a success may have been beneficial. It’s no wonder, therefore, that Disney are launching their own streaming service later this year.  Beyond Box Office In the majority of businesses these days, Data is used to decipher consumer buying habits, web traffic and social media interactions, as well as to monitor supply chains, costs and sales. This is no different for the movie industry, particularly when examining what makes a move work. By using Data Science, producers can determine which actors, directors, release dates and even running times are likely to make a movie profitable. For example, history may dictate that the summer is likely to be the most profitable time of year. Whilst this may be true for June, where average profit is $100m, ten times that of January, November and December are the second and third most profitable months.   Beyond assessing profitability, however, Hollywood is using technology to try and re-establish a relationship between creators and audiences. Newly emerging tools are empowering studios to convert massive quantities of movie-goer reactions into meaningful actionable insights. With Big Data analytics, movie executives have gained an insight into audience’s perspectives and this is dramatically altering the way in which movies are made, marketed and distributed. Companies like IBM are looking at new ways of tracking sentiment analysis that will have a massive impact on the creative process. However, whether or not the industry’s leading writers and directors will want to work within these parameters is yet to be seen.  #DataDrivenAds Data’s impact on the movie industry goes beyond the insights it offers on audience perceptions. When it comes to marketing a movie, the Data & Analytics space offers a number of opportunities. Studios are beginning to realise that, in order to drive the small-screen generation to the big screen, they need to come to their territory. To promote ‘The Dark Tower’ in Singapore, Sony ran a series of targeted mobile adverts that allowed users to choose a character to engage with. A follow up campaign then targeted users who had engaged with relevant messaging and details of showtimes at their nearest cinemas, using the mobility of their devices to their advantage. Furthermore, for the release of ‘Ready Player One’, Facebook offered an augmented reality experience for those who engaged with the film’s poster in public.  However, sometimes, the most effective marketing technique remains word-of-mouth. Netflix’s ‘Bird Box’ received little critical praise and minimal attention initially upon release. However, once users started posting memes about the movie onto their social media feeds, viewing figures picked up exponentially. This allowed Netflix to reassess their marketing efforts and respond to public sentiment, creating a strategy that fed off the zeitgeist and was significantly more effective.  Data has transformed the movie industry. If you’d like to work with Data & Analytics to transform another, 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. 

Henry Rodrigues

Henry Rodrigues

25. July 2019

HOW BRANDS USE DATA TO CREATE SUCCESSFUL CAMPAIGNS

Make no mistake: making minor adjustments to an ad or campaign that’s meant to appeal to the masses just won’t cut it. Customers crave creativity. They want to be understood. Which is why people respond best to brands that do their homework, doing their research into what appeals to different groups. How should businesses appeal to their chosen segments, then, considering how diverse people are? Data, of course. Why Data? For one thing, it drives results and creates improved outcomes. Data also helps to prove the value of marketing, providing a bargaining chip for future budget discussions. And, most rewarding of all, brands get valuable insights into their target market. Which, in turn, leads to more well-targeted, profitable campaigns.  And if you think Data doesn’t belong in the world of creative campaigns, think again. As OpenJaw Technologies Chief Marketing Officer Colin Lewis argues: “Creativity is not just compatible with being Data-driven – Data can drive better creative.” Psychological profiling Strategic communications consultancy, Verbalisation, researches and analyses language to form valuable insights. Using its Rapid Audience Insights Diagnostic system, the company’s team of psychologists and researchers work out how an audience thinks. They also learn the actual words an audience uses, which they then use as the basis of a marketing strategy.  Based on their unique research and insights, Verbalisation has created several successful campaigns for high-profile brands. These include the #NotAnotherBrother campaign for counter-terrorism organisation Quilliam, which looked at the motivations of jihadists.  The campaign is now used by the UN and schools across the UK, as well as the US Department of Defense. It is the most viewed counter-extremism campaign of all time, with more than half a billion global media impressions.  Location, location, location Out-of-home (OOH) advertising. Yes, it goes way back, but it’s actually the only traditional advertising channel posting rapid growth. In fact, thanks to mobile-location Data, brands can target audiences quicker and with a greater chance of success than ever before.  Great news for JCDecaux (JCD), a leading OOH company with ads reaching 410 million people in over 4,000 cities. JCD now works with location Data to define and segment audiences. Doing so helps it decide where to place media, improve campaigns and measure resulting store footfall and purchases.  Knowledge, so they say, is power. Particularly when that involves knowing the whereabouts of the most coveted customers. Newly teamed up with identity resolution company, Neustar, JCD’s insights look stronger than ever. JCD can now understand which of its locations rank higher for any brand’s most desired audiences. All thanks to location Data and real-time behaviour analysis.  Personalised employee training Data doesn’t just boost the results of B2C brands; it can also be a vital shot in the arm for internal security training campaigns. Training provider, CybeReady, for instance, uses a Data science-driven approach to deliver cyber awareness training with a difference: its anti-phishing platform helps security teams quickly roll out and tailor campaigns to individual employees. In big companies, getting employees up to speed is especially challenging. With many locations, languages and time zones to contend with, Information Security teams have their work cut out.  CybeReady eliminates these challenges by delivering 12 personalised, 60-second simulations to each employee. In their first language, every year. What’s more, the training provider uses machine learning to analyse performance on a daily basis. This enables it to provide the most appropriate simulations to each individual. The result? IT teams save 160 hours each month and employee resilience increases five-fold. There’s no limit to what Data can do. If you’re a fan, we may have a role for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

Talitha Boitel-Gill

Talitha Boitel-Gill

05. June 2019

Recently Viewed jobs