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VP PRODUCT SUPPLY CHAIN
Cet éditeur de logiciel SaaS à destination de la grande distribution recherche un VP Product Manager expérimenté dans le but de diriger et développer le produit sur la partie Supply Chain.
Vous aurez pour mission principale d'aider au développement du pôle Produit :
£40000 - £50000 per annum
A leading marketplace is looking for a highly skilled data analyst to work on customer-focused projects.
£30000 - £40000 per annum + bonus
DATA ANALYST LONDON UP TO £40,000 One of Europe's leading sporting retailers looking for Data Analyst to join their team, to develop data driven solutions.
US$95000 - US$105000 per year
Are you passionate about interactive media & how it can be used by a variety of audiences? If you're hands on working in marketing effectiveness, get in touch.
£50000 - £60000 per annum
Leeds, West Yorkshire
This is an opportunity for a senior marketing analyst to join a mobile games app company
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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The majority of the human population are visual learners. Our brains are wired in such a way where we can register 36,000 visual messages per hour, and visuals are processed 60,000 times faster than text. In short, one of the best ways to truly assimilate and understand new-found knowledge is through clear and digestible imagery. Because of this valuable insight, we are now witnessing the fast-growing trend of Data Visualisation. Over the next six years, the value of Data Visualisation tools is expected to reach $19.2 billion, over double what it was in 2019. Data & Analytics is one key area where data visualisation is used continuously. The raw data collected on a daily basis by Data Analysts can be incredibly time-consuming to sift through, not forgetting near-impossible to form palatable findings from. However, through the use of data visualisation tools such as graphs, heat maps, charts and infographics, confusing, text-based data can be transformed and brought to life. So, how can Data Visualisation help your business? Greater understanding of your data As Lydia, our Senior Recruitment Consultant, stated in her most recent article – data insights have the capability of not only improving decision-making, but also allow you to spot key trends, errors and predict future challenges. Nevertheless, all of these brilliant capabilities of data insights can only occur when teams can garner an in-depth understanding of the data being presented to them. Without a background in statistics, which very few members of any team would possess, the raw data simply wouldn’t mean anything, and key insights could be missed. Utilising data visualisations not only makes data more tangible, but it also allows every team member to understand the data, make decisions and implement changes more efficiently. Standing out from the competition The effectiveness of Data Visualisation is no secret, and time and time again it’s been proved that this way of presenting data is far more likely to produce results than simply reviewing text. Research within Analytics Insight reported that businesses using data discovery tools are 28 per cent more likely to find timely information compared to their dashboard-using counterparts, and 48 per cent of business intelligence users at companies with visualisation tools are able to find the information they need without the help of a specialist team. Nevertheless, despite the incredible benefits, only 26 per cent of businesses globally are using data visualisation tools. While the reasons for this slow uptake are varied, it’s clear that those companies who are willing to invest in Data Visualisation are far more likely to stand a head above their competitors. It can improve customer experience 98 per cent of companies will use data to help drive a better customer experience, but it doesn’t always mean that this data is collected, managed or presented well. Data is, and should be, used as a way to back up what brands are saying, especially if they’re shouting from the rooftops about how fantastic they are. When a business or brand uses accurate Data Visualisation to tell this story – for example, the percentage of consumers who report high levels of customer satisfaction, or the amount of money donated to CSR projects – audiences will respond much better than if the claim appears to be empty words without any evidence. Data Visualisation is undoubtedly one of the most effective ways to communicate data, both internally and externally. The comprehensible formats available enables information to be processed with ease, and for learnings and understandings to be absorbed and implemented with much more efficiency than text-based raw data. It’s clear that this trend is only going to grow in popularity as businesses begin to put more investment behind it in order to reap the benefits and watch the positive impact on their bottom lines prosper. For examples of how Harnham uses Data Visualisation, head over to our recent research reports. If you're looking to take the next step in your career or build out your Data & Analytics team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.
13. May 2021
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.
04. February 2021