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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 Product Insights Manager - User Research
Salary

US$175000 - US$200000 per year

Location

New York

Description

Can you combine cognitive behaviors with new products to service the market? If you are statistically savvy then this could be a great next step

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Senior Data Scientist
Salary

US$150000 - US$170000 per year

Location

New York

Description

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

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Data Scientist
Salary

£50000 - £60000 per annum + Benefits

Location

North London, London

Description

This is a great opportunity for a data scientist to join a leading global sports start up and further their career in a reputable analytics team

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Data Scientist
Salary

US$130000 - US$145000 per annum

Location

New York

Description

A top information tech brand is looking for a hands on data scientist with in depth background in analyzing healthcare and medical data!

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Senior Data Scientist
Salary

US$120000 - US$140000 per annum

Location

New York

Description

Are you a predictive analytics wizard that can build models to better understand consumer behavior? Python expertise is a must!

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Data Scientist
Salary

US$110000 - US$130000 per year

Location

Raleigh, North Carolina

Description

Do you want to join a company and be part of the change in a million dollar organization, to help them take their analytics to the next level?

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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.

‘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. 

Tamara Olori

Tamara Olori

28. November 2019

MARKETING INSIGHT AND THE CUSTOMER FEEDBACK LOOP

Marketing Insight And The Customer Feedback Loop

As the holidays approach, Marketers are focusing more than ever on User Experience (UX). They’re not only looking at what kind of product customers might want or need but how will it look and feel to them? If a product doesn’t have what you need or doesn’t function as appealingly as others, what good is it? Key elements such as aesthetics, usability, and ‘feel’ are integral to the user experience. Because these elements come from such seemingly disparate departments as Marketing and Developers, it’s important to figure out how to come together for the ultimate UX. After all, if today’s buyers buy experiences over tangible products, then ensuring the experience is important to bridging the gap between customers, marketers, and developers. This, when done right, helps to build and retain customer relationships; the foundations upon which business is built. Design User Experience with M&D By bringing marketers and developers (M&D) together, you create the opportunity for innovation. But there are some key elements to consider when designing UX and it follows four stages. Do your research. Identify needs, spending patterns, buying behaviours, and historical data to determine what it is customers desire. Find out what they want or need and give it to them. This is the role of the marketer backed by development.Gather the data. Using multiple touch points across multiple sources and channels, find what works. What product offers usability and determine how design choices can help to create a seamless experience for your customer.Design your idea and create a prototype. Brainstorm your design. What are its product features, user interface, and aesthetics? Does it look user friendly? Would you pick it up off the shelf? Why? What is it about the product that makes you want to have it? What problems can it solve for you?Time to Test it. Is your product user friendly? What are its useful functions? How does it look? Feel? Incorporate feedback to improve its performance, function, or aesthetic. What does your test market say? Would they buy it? Why or why not? Bridging the Gap with collaboration We can forget sometimes, lost in our jargon and our buzzwords, that it’s the customer who we hope will benefit from our product or service. Yet, traditionally, marketers gathered customer preferences and drove sales, while developers designed products based on those preferences. However, the two departments were often siloed and creativity, usability, function, and aesthetics either got overshadowed or underrepresented to varying degrees. Enter customer feedback an integral point of reference for all parties involved. Customers are at the heart of user experience and it’s their feedback which can inform the user experience. What better marketing insights than those straight from the customer? Working with Marketers and Developers, customers provide a crucial component to helping marketers understand market dynamics. On the flip side, customer feedback can help mitigate risk or issues down the road by providing solutions and helping to resolve problems. the impact on Product Development By conducting user experience testing, marketers and developers can determine if a product is a good fit for customer needs. At the same time, they may identify issues to be resolved which can be learned of in real-time for a better user experience once the product is launched. Each has their role to play in designing the user experience and contributing to market insights for more informed business decisions.  These include: Marketers are part of the design experience from conception to inception. They are responsible for gathering the data to identify problem areas, working with Developers to create a product or service to solve a problem, and gathering data from the customer. Do they like this product? Why? What pain points does it serve? And how can it be made better or improved? Developers are the designers. They must take the information the marketers have collected and try to make the product into something functional and aesthetically-pleasing. Though they operate more at the back-end, they too much collaborate with customers to capture issues and solve problems. Developers test the products, making improvements as needed. Each stage a constant in UX design.Customers offer invaluable data and metrics through their feedback and reviews. The insights they contain as the end user about using the product, revealing its challenges, and suggesting room for improvement, make this three-part collaboration the final link in the chain between marketers, developers, and customers when it comes to designing the ultimate user experience. If you’re interested in the relationship between insights and UX, we may have a role for you. Check out our current opportunities or get in touch with one of our expert consultants to learn more. 

Rachel O'Keeffe

Rachel O'Keeffe

21. November 2019

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