The Data School Team
Currently in Training (DS8)
Ollie studied Philosophy and then Natural Sciences at the University of Cambridge, before spending a couple of years in the wilderness as a professional singer. After sinking hours into Excel and SPSS trying to make his final research project look perfect, discovering the ease with which he could achieve this in Tableau was a thrilling moment. He instantly knew that this was where he wanted his career to go, and the Data School was the best place to make that happen.
Throughout his PhD in chemotherapeutics in Australia and the UK, Robbin found himself enjoying the translation and presentation of complex data for everyone to understand the most. Being exposed to Alteryx and Tableau opened up a whole new world of streamlined data processing, which was often missing during his previous roles. The Data School will be an amazing new challenge in order to continue to fast-track his experience in big data science.
Tim’s love for analysing data stems from his childhood, where he created spreadsheets and charts for his toy cars. After graduating from university, he discovered Tableau and was amazed at how intuitive and accessible it was to somebody who had never used it before. The Data School is to him a brilliant opportunity to master both Tableau and Alteryx.
Tom developed a passion for analytics when carrying out Biological research, when he discovered Tableau by chance. Enjoying the analytical side of his work, but not the entire scientific process, he decided to apply to the Data School to further increase his analytical skills. He particularly enjoys combining this with his sporting interests, to build sports vizzes.
Gauthier found his passion for data and analytics while undertaking his MA in advertising. Through online trainings, he came across Tableau and Alteryx, which convinced him to pursue a new career at the Data School.
When not working with data, Gauthier loves cooking, triathlon and photography.
Being a Theoretical Physics graduate, Jevon has looked at the world in terms of numbers and the story one could infer just from looking at data. Seeing how powerful Tableau was in handling and manipulating data and making sense of the world made him realize that this was a revolutionary tool and felt like he had no other option but to apply to The Data School.
Laura is a MSc Graduate in International Business Management and she fluently speak Italian, Russian and Spanish. She is passionate about all the different types of communication, which she studied during her bachelor in Translation as well as during her experience in Marketing. Data analytics in Tableau is just the next level of communication, where verbal, written and visual blend together. Whilst not working with data, Laura spends hours at the gym.
Nora recently finished her PhD in Chemistry where she got her first exposure to serious data. It was during this time that she discovered her passion for data analytics and the science behind it. She now looks forward to using Tableau and Alteryx to answer all the questions that pops up all around her.
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Charlie recently submitted her MPhil in Polar Studies at the University of Cambridge. Whilst carrying out the research for this masters she undertook data analysis and visualization using Matlab, Excel and QGIS. Following this experience, discovering Tableau through The Data School website was a breath of fresh air, showing her an exciting path into the future.
Charlie spends her free time training for the GB Under-24 ultimate frisbee team.
Steph found Tableau & Alteryx as part of a previous role in analytics, realising quite how much she enjoyed using them when she moved to a company without them. This is when she discovered the Data School – a job that would allow her to work with them everyday!
Jeremy’s career has focused on trying to make public services more effective for the people who use them. Having worked in a think tank, local government, arts fundraising and the welfare-to-work sector, Jeremy discovered Tableau whilst analysing unemployment programmes. He immediately saw the value of intuitive, self-service analytics for making better business decisions, and consequently joined the Data School to learn more.
As a Maths & Stats graduate Joe has always had a passion for working with data. His love for data, similar to Maths, is that it is in everything and there is no getting away from it! With an eagerness for data driven decision making Joe was amazed by the power at his fingertips when using Tableau, and knew instantly that this was the path for him.
Having started his career in the motor insurance industry Michael found his way into analytics through a desire to simplify his team’s role; and improve decision making within the business. Following a move to Business Intelligence he discovered Tableau while creating a series of operational dashboards and hasn’t looked back since. He sees Tableau as a crucial discovery tool and is now looking to grow and develop alongside the company.
Eliott developed a passion for Data and Analytics through his studies in GeoInformatics, where worked with spatial datasets. Using mostly software such as ArcGIS, R and SPSS, the hours spent on producing good analytical pieces and presentations accumulated quickly over his studies, leading him frustrated about the effectiveness of those tools, but more motivated than ever to get to the bottom of data analytics and visualisations.
He genuinely believes that Tableau is a contender for the perfect solution, and hopes to learn all that he can while at the Data School. Apart from Data Analytics, Eliott loves watching and playing football, as well as cooking.
David Sánchez Martín
David is a biomedical scientist that sees Tableau and Alteryx as a powerful way of making science accessible for the general public and for organizations funding research.
Giorgia discovered her love for data during her undergraduate in Economics when she took her first module of Interpreting Economic Data. Since then, she had the goal to work one day in the field. After founding out about Data School she thought it was the best opportunity to engage in a job she would certainly love.
In her previous role, working as an analyst, Mina discovered Tableau and Alteryx which, at first, she did not realise how life-changing these would be. Prior to discovering these software Mina studied Economics and dabbled in programming to solve her data problems and could immediately see the value in Tableau and Alteryx.
Jamie’s passion for sport and data analysis resulted in him spending the last 5 years as a sports trader, for bookmakers as well as proprietary data firms. After spending the last few years working with excel to create in play algorithms he is now looking forward to working with tableau and alteryx to broaden his data analytical skills.
Marcus fell in love with data whilst working in the NHS using various data analytical methodologies to reduce the amount spent on clinical events which lead to one organisation saving over £20,000 in that financial year. Since then Marcus has seeked out roles that included working with medium to large datasets in which he can put his curious and analytical mind to work on.
With an analytical mindset and background in both science and education, Lee has a passion for exploring new information, understanding it and helping others to do so as well. Lee wants to expand his passion for Tableau into the world of business and has set out learn everything he can about Tableau and Alteryx so he can be well equipped to facilitate companies in making well-informed and evidence-based decisions.
William’s passion for the field of international development and its mission to find innovative, sustainable, and scalable solutions to challenges faced by developing nations has been the guiding force behind his academic and professional careers. After completing a B.A. in Economics and an M.Sc in Development Management, and working as an impact and strategy consultant for various startups and social business, he chose to join the Data School in order to strengthen his analytical, technical, and skills.
After crafting each of his roles as a management consultant to have a data focus, Alex established himself a brand as a consultant with a unique blend of both the technical and soft skills required for working with data. Having received ministerial approval for several Excel dashboards he designed whilst working in the public sector, Alex is keen to utilize this previous knowledge with both Tableau and Alteryx.
A passion for visual arts was always something that stood out about Elena. She has a background in finance and marketing. New to Tableau she’s looking forward to taking her data analysis skills to the next level with The Data School. She strives to communicate via outstanding data visualizations that make an impact and help people make decisions and solve problems.
Aj found his passion for data and consultation whilst working with entrepreneurs in Kenya. At this stage he was only using excel and powerpoint but after discovering Tableau he has never looked back. At the Data School, he really wants to learn how to use Tableau as an analytical tool instead of just visualisation. Whilst not playing around with data, he likes to play football and tennis.
Wiktoria has 7 years of marketing experience growing profitable brands in the European market. After her first experience with Tableau, she immediately realised how it can significantly help companies grow by easily identifying opportunities in their data. She left her career and dedicated to mastering Alteryx and Tableau skills.
After her MBA Laura spent over 6 years working in Excel-based environments as a consultant and then as a finance analyst. Now, she is excited to learn Tableau, Alteryx, and the art of data visualization from the very best.
With a background in software engineering, English teaching abroad and business analysis, Marc completed an MSc in Business Intelligence and then work in Human Capital Analytics. After seeing the power of Tableau to uncover insights, Marc is looking forward to helping people explore and visualise their data.
Natasha has always loved art and has a background in finance where she used to analyse business processes and helped to optimise costs. After discovering Tableau, Natasha became fascinated by the world of data visualisations, and applying to Data School was an opportunity to turn her analytical skills and passion for creativity into a practical mix. She is looking forward to learning how to create simple and yet appealing visualisations, as well as mastering the skill of sending a powerful message and telling stories with data.
When Neil was a little boy he had a dream, that dream was to become an archaeologist. That didn’t pan out. So he whittled away his years moving from job to job trying to find that one true calling. That calling finally came as a piece of software called Tableau. Through Tableau, Neil hopes to become a data hero and spread the word according to Tableau around.
Philip relishes problem-solving and making valuable insights into data. He has two Master’s in quantitative disciplines and several years of image analysis experience. He joined the Data School to become proficient in data analysis and problem-solving in the challenging world of BI.
Coming from a financial background, Rachel is excited about learning to work with data sets in a visual way.
After doing BA in Economics Anna took a break from the world of data for 4 years, working odd jobs in several different continents and blogging about her experiences. She then returned to the UK to do a Masters in Online Journalism at Birmingham City University. During the course she discovered data visualisations was a great way to merge her storytelling and data skills. After attending the Tableau Zen Master Tour, the Data School was the logical next step.
Having recently finished her MSc in Applicable Mathematics at LSE, Bethany is passionate about using her mathematical skills to help people make sense of data. She is excited to learn everything there is to know about using Tableau for data visualisation from the experts at The Data School!
Dan discovered a passion for data analysis and visualisation whilst researching the role of the brain in exercise during his Masters degree. This led to analysing client data for some of the UK’s top law firms at a research consultancy. At the Data School Dan wants to hone his storytelling skills to make data accessible to a wider audience. At the same time, Dan strives to make a name for himself in the world of distance running, competing for Kent at cross country and getting ever closer to the dream of a sub 2h30 marathon.
Gwilym first started serious data analysis during his PhD in the neuroscience of language where he examined his participants’ brain activity during language learning, but soon realised it was more fun to use those same techniques to look at sports statistics. After honing his data skills through scraping cricinfo and falling in love with ggplot2 in R, he decided to switch out of academia and into the big wide world of data visualisation. Outside the office, Gwilym also brews his own beer, which may or may not help the data viz creative process.
Data has been a part of Ian’s life since he could read the weekend’s football results and understand how a league table works. Following the somewhat traditional route of learning Excel at school and Matlab at university, his introduction to Tableau and Alteryx was a real eye opener to how intuitive and feature rich powerful software can be. Ian has come to the Data School to master these programs and help more people take their data analysis and visualisation to the next level.
After working as a librarian in several academic institutions for over a decade, Meg became interested in data visualisation during her time as an Open Access (OA) consultant for the European Commission funded PASTEUR4OA project. The opportunity to combine a passion for graphic design with the skills she learnt curating large data sets lead her to Tableau. Her driving interest has always been to make complicated concepts and datasets more accessible and easy to understand.
After a brief experience in the world of sports data collection, Peter unearthed a keen interest in the potential to guide understanding and tell stories through data analysis. The chance to join the Data School straight from university was not to be missed and he is excited to learn from the best in the data visualisation business.
Rachel is a journalist who after 10 years telling stories with words decided to discover the world of data visualisation. Her inspirations are the new interactive stories which have been populating the news in the past years. Making information clear, beautiful and accessible for the desired audience are their aims.
Ben has moved from academic research to work more deeply with data, having been inspired by the increasing sophistication of tools and techniques to render data into compelling stories. With training and skills in both science and graphic design, Ben has found a discipline at the nexus of his abilities and interests.
After graduating with a BA in Ancient History, Emily started working in business consultancy, delivering service improvement and lean transformation projects in NHS Trusts. This is where her interest in data analysis developed, specifically in understanding service demand vs. capacity.
Since studying Economics at university, Peter has worked in two national banks, a social media analytics consultancy, and an Austrian ski-school. He first used Tableau when working with large social media data sets, and, impressed with the software and the community, quickly decided he wanted to use Tableau every day.
Naledi is a Social and Cultural Psychology graduate interested in the use of data to help understand societal dynamics and address social issues. Before coming to The Data School she worked in a variety of social research jobs.
Since studying his MSC in Sports Performance Analysis Borja recognised the importance of Data Analysis. During his various work experiences within the sports world he faced the recurrent problem of explaining data and being able to communicate the message. From that point Data Analysis and Data Visualization became his focus.
After moving to the UK and discovering Tableau, Elnisa became fascinated with how easy it was to draw meaningful insights from data while building and designing beautiful and sleek dashboards. Fascinated by Tableau’s user friendly interface, she developed a passion for story-telling through attractive and compelling visual aids.
The opportunity to help people making sense of their data, led Elnisa to apply to the data school and learn from the best in the field.
Lorna has always been passionate about data, and is excited to replace her old tool of choice Excel with Tableau and Alteryx. After first discovering Tableau at British Gymnastics she can’t wait to apply some new skills to sports data.
After 3 years working in management consulting in Milan, Simona has decided to move to London to continue her professional career in data analysis at the Data School. It’s been her dream since graduating Mathematics in 2012.
Nai is a graduate of the University of British Columbia and the University College London who never really abandoned her identity as a student and information-seeker. She continues to use data as a resource contributing to understandings of human motivation, business analysis, and social solutions.
The mix of Benedetta’s curiosity, creativity and her analytical background in finance, pushed her through the data world, and especially to Tableau. After many financial forecast projects with Excel she appreciates an easy and colourful way to tell stories.
Having finished her masters in Environmental Biology, Anuka discovered the data viz world and was immediately intrigued. After more research and trying Tableau for herself, she knew this is where she wanted to be and is eager to learn more.
Everyone loves great storylines, so it’s exciting to join a company that’s all about telling stories with data! I joined The Data School to learn data visualisation from the best & gain experience in a variety of industries.
Niccolo’s data driven journey started in Italy, attempting to translate the breath-taking Italian cultural heritage into figures. He was challenged with starting a BI solution from scratch. It was ‘sink or swim’, and he fell in love swimming through data!
Alexandra’s inquisitive nature and drive to solve problems has meant a natural attraction to a career in science. Ready to take on the challenge of BI, she strives for expanding our understanding of the world and improving performance.
Ravi’s interest in using and manipulating data piqued after discovering public sources of sports data. Having studied Economics for the last four years, he is looking forward to learning from the data Jedis of Tableau and Alteryx.
‘Do what you love and you will never have to work a day in your life’ – that is exactly what Hashu did. He turned his hobby into a career by jumping head first into Tableau & Alteryx
While learning about cloud technologies and their potential Damiana kept hearing about the importance of data analysis and how Tableau was changing this field. After realising how data analysis was changing every field, Damiana eagerly jumped at the chance to learn everything about how to do it best with Tableau.
As a bonafide Biz Nerd, Emily loves telling stories with data. She’s currently learning the art of data visualization and eager to apply these skills in Banking and B2C strategy.
Recent Blog Posts
Our team does a lot of blogging! Follow their projects and progress every week.
Three different uses of Parameters collected together from Workout Wednesday week 43 and week 33read more
Ever wondered what Workout Wednesday is? Or need some help solving calculations for it – here’s my top tips.read more
Have you ever wondered how to create a pop up chart in a dashboard using actions? Find out here if your answer is yes or no!read more
Our training for today here at The Data School was to complete one of more Workout Wednesdays. Here I explain how to complete part of it, having three marks on one axis.read more
Tips and ideas from two WorkoutWednesday exercises about Date Functions, Title in Tooltip and Waffle chartread more
A brief intro to the Modulo operator and how it can help you split up your sheet into small multiple grids (trellis) without loosing your rank order. Today at the data school, we worked through old #WorkoutWednesday exercises to further enhance our Tableau skills. I...read more
Apply for The Data School
Our application process is always open. Get started with your application today!