India Walker-Smith - Recruiter Profile | Harnham Recruitment

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India Walker-Smith

Managing Consultant - UK

Bio

India began her career in recruitment as part of Harnham’s graduate scheme and quickly became a key member of the Marketing & Insight team. India now works across the entire vertical helping companies find the best talent through her unique network of candidates.

My jobs

Insights Consultant

Salary

£30000 - £40000 per annum + bonus and benefits

Location

London

Description

We're working with a boutique analytics consultancy who are looking for a research focused Insights Consultant - £45,000

Reference:

76494/IWS6

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Salary

£30000 - £35000 per annum + bonus and benefits

Location

London

Description

A financially stable tech company in the property space are seeking a CRM Specialist.

Reference:

340/IWS6

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Analyst - All Levels

Salary

£45000 - £70000 per annum + bonus and benefits

Location

Birmingham, West Midlands

Description

An international telecoms company are looking for Analysts at varying levels to form a new analytics function in Birmingham.

Reference:

0939/IWS

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Pricing Data Scientist

Salary

£60000 - £80000 per annum + bonus and benefits

Location

London

Description

A well known financial company are seeking a Pricing Data Scientist to work on their pricing and Data Science projects.

Reference:

0448/IWS

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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.

National Storytelling Week: Telling A Story Through Data

A story is a lot more than just words on a page. It’s a combination of interesting language, images, colour and, perhaps most importantly, a brilliant narrator. This is no different in Data Analytics. Like any story, the beginning of any data report starts out as numbers and figures on a page which, let’s face it, isn’t the most interesting read. To ensure the data reaches its full potential and entices an engaged audience, a good Data Analyst will wind and weave them into a compelling story. So, how might you go about doing this? Know your audience How your story is crafted will be completely dependent on who will be reading it. It’s important to consider your audience’s age, knowledge and expertise. For example, if you were reporting to a junior team, the information given will be simplified, and specific language and jargon should be broken down to include explanations, making the data accessible. The story may also be a lot longer than usual to ensure all areas of information are covered, with room for questions if need be. This is crucial if you want your data, and your story, to benefit the learning and development of the team as well as to encourage their interest and curiosity in the topic. On the other hand, if you were telling your data story to a group of expert professionals, the explanations will be a lot more top line and the story much pithier and succinct. The depth should instead lie in the narrative of how the data impacts them and their company, providing solutions to problems or providing compelling ideas for innovation and change. Choose an engaging narrative Undoubtedly, your data will have thrown up all sorts of storylines, from the mundane to the thrilling. When you’re creating your presentation or report, if the data is relevant, opt to design your story around the most exciting dataset. Your aim is to keep your audience engaged and wanting to know more, not to bore them with too many, or figures that are not relevant or provide further guidance. Be creative No matter how electrifying your data may be, there's only so much information an individual can take in. Your story needs visuals to bring what you are reporting on to life. Typography, font and font size, colour, images, graphs and tables are all valuable assets to include to help stimulate your audience’s imagination. Of course, in this day and age, these visuals don’t have to be limited to static pictures either. Don’t be afraid to play around with movement and interactivity to get your audience involved and engaged. That being said, it’s important to find a good balance of static and interactive. Be an appealing narrator If you’re having to present your data, you’ve got an extra challenge on your plate. Your story is only as good as you are. No matter how visually fantastic your report is, or how apt it is for your audience, if you are bored, unengaged and uninterested by the information you are presenting, you will pass all these feelings onto your audience. Not only is it important you know the story you’re telling inside out, but you should be excited by the data you are presenting. Don’t be afraid to inject personality into your data, make it characteristic and make it feel human. If you are passionate about your data and your story, then your audience will be too. Data doesn’t just have to be statistics on a page. It can be thrilling, it can be colourful, it can be loud, and it can be enticing. You, as a Data Analyst, are that brilliant narrator. If you're looking to take the next step in your career or build out your Data & Analytics, we may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.

by India Walker-Smith

04. February 2021

Thank you for calling: loyalty cards and data collection

If your wallet is anything like mine, it is probably bursting with loyalty cards. They are a fact of life these days particularly in the retail supermarket environment where they are standard practice for most major chains. From the consumer point of view, a loyalty card is an attractive proposition because it brings with it rebates, offers and other benefits. From the supermarkets point of view, it is invaluable for data collection. Although the loyalty card may not be the best data gathering method for some vital retail information such as spending patterns. (Which are most likely to be best gathered at the till point.) They provide something that the supermarkets cannot otherwise gather, they provide information on the shoppers themselves.With a nod of recognition to a few notable attempts here and there it is probably safe to say the first genuine linked up loyalty card in the UK was Sainsburys/Homebase spend and save. In fact, the loyalty program as we know it could probably be said to be at least partially a product of the advent of computerised wide area retail systems. After all, there is little point in something like a Clubcard if it is not linked to user data and retail opportunities. The concept of a loyalty card whether a multi-return scheme such as Nectar or a more focused approach such as Clubcard has become endemic in our collective buying process.From a marketing point of view, the loyalty card has probably now become a war of attrition with each supermarket battling it out in the high street to stop the competition succeeding. There is probably a debate to be had about if the card does generate loyalty in the consumer. There would seem to be some support for this perspective when you place the loyalty scheme in the context of the lack of one from international retail giant Wal-Mart (Asda in the UK); Or the continuing campaigns for BOGOF and Price matching.For the supermarkets that employ a loyalty scheme, the real melting chocolate middle in the pudding is the data gathered by the card. Underneath the offers and the hype, is a real opportunity to do something often denied to larger corporate stores - the continual and casual gathering of specific consumer data. For the data analytics market, the data gathered by loyalty cards is a perfect opportunity to develop a clearer picture of the consumer. With the implementation of good data analysis the ‘who, what and when’ of consumption is taken from a generalisation at the checkout to potentially far more specific applications. Gathering and correct processing of loyalty card data allows the retailer to target promotions specifically, down to individual shopper level. For a retail organisation, the ability to specifically tailor offers and merchandise information to an individual is an astounding use of the data the card provides. If you want to see this in action, take a look at your next statement. When it arrives, notice the individual offers or the ‘usual items’ listing on the online shop that also features your recent retail purchases.So while the marketing of the card may very well be subject to the ebb and flow of current consumer trends, one thing is for certain. To the data analysis industry and the professionals within it, loyalty cards are not only an excellent data source, but also one that has clear, practical applications.

by India Walker-Smith

20. February 2015

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