The Data School Team
Currently in Training (DS18)
With an extensive background in Market Research, Timea enjoys analysing data and finding thought-provoking insights. She discovered Tableau after years of working with Excel and was amazed by its ability to easily create interactive visualisations. That is when she realised that a career in data analysis was possible and decided to join the Data School with the goal of becoming an expert in Tableau and Alteryx.
Molly developed a strong interest in analysing and working with data during her time at university. She has a passion for art and problem-solving and was therefore interested in pursuing a career that allowed her to combine the two. When she came across the Data School and consequently Tableau, she felt inspired and was excited to learn more.
Having graduated from Cardiff University with a degree in zoology, Theo took an editorial job in a life-science publishers. He soon realised that working with numbers and data was where his interests really lay and that he wanted to pursue a more analytical career.
Chris studied physics at university taking particular interest in computational and experimental physics. While there he engaged in many community related responsibilities, most notably, leading a society to win the Best Academic and Careers Society of the UK in 2018.
Angelos joined The Information Lab after completing his MSc at Imperial College London. While processing large mechanical testing datasets, he realised how the engineering community lacks the knowledge to effectively communicate information. Finding out about Tableau & Alteryx through a Meet and Greet event, Angelos immediately knew that his next career step would be in data analytics.
Etienne joined The Information Lab after finishing his degree in biological sciences at the University of Oxford. His love of statistics and mathematics stems from an interest in evolutionary theory. He first encountered Tableau after discovering The Data School and quickly realised the potential power of the software in data journalism and advocacy.
After studying German, Russian and Luxembourgish at university, Jack tested his linguistic skills in a B2B German-speaking job and then moved to Japan to teach English. He felt that he had something more to offer than languages so started teaching himself Python and learning more about data analysis. When he discovered Tableau he quickly realised the power it has to transform the way businesses work with data.
Having spent a few years investigating and reporting international human rights and humanitarian law violations in the Middle East and Asia, Gloria realised the importance of data visualisation in creating compelling stories, educating audiences and spotting and tracking patterns of violations to promote justice and accountability.
Currently in Training (DS17)
With a background in spatial data and asset management in the consulting space, Agnieszka was introduced to Tableau in her subsequent role at a credit bureau. Following that immersion, she is excited to master Tableau and Alteryx at The Information Lab’s Data School to empower organizations in making valuable, data-led decisions.
Juliana built a foundation in data analysis whilst earning her MSc in Applied Analytical Chemistry from UCL, where she graduated with distinction. As her analytical skills flourished, she decided to explore exciting applications outside of the lonely chemistry lab and joined The Data School to master the power of Tableau and Alteryx.
Ross discovered Tableau in a happy accident whilst looking for a new career direction and within a few hours he realised that Tableau, and more broadly a career in Data Analytics, could provide both a creative outlet and an opportunity to problem solve that had been so sorely missing from his life beforehand.
Clare joined The Information Lab from an arts and culture background, after discovering that data visualisation and analysis combined her innate curiosity and eye for design. Passionate about data democratisation, Clare is looking forward to helping organisations understand and utilise their data.
Whilst studying International Hospitality Management Alice realised her passion for research and analytics. She discovered Tableau at a meet and greet at the Information Lab, the enthusiasm of the team and the impressive capabilities of the software drove her to apply for DS17.
Chris is a history grad from the University of Edinburgh, where he met the Data School at a careers fair. After years of wondering what to do post-graduation he had suddenly found his calling; data consultancy promised both the intellectual and creative rigour to provide a satisfying career.
Anya started her career at EY, where she was a Senior Consultant. She worked in sales and marketing for art and cultural organisations, quantifying the performance of marketing campaigns, digital communications, events, and publications. Anya is a trained economist and art historian with a background in photojournalism, and holds an MA in History and Business of Art and Collecting at the University of Warwick.
Collin began using Tableau while working for a planetary health organization in Borneo. He fell in love with the program when he discovered that it was the tool he’d been missing to analyze the monumental amounts of data that companies and organizations collect, turning it from numbers on a spreadsheet into something of real value.
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Having recently graduated in Economics, Matthew was looking for a new opportunity to challenge himself and foster his passion for Maths, Data analysis and problem solving. He was introduced to Tableau through the Data School application, was immediately impressed by its power and simplicity compared to other tools.
Jamie was introduced to Tableau whilst on a university placement in Windsor. The company used The Information Lab and the Data School to help solve their questions. After coming into contact with the Data School at a client project, Jamie knew data would be the next step in his career.
Joe believes that data should be accessible to all and that data visualisation holds the key to this. With a degree in Earth Sciences and experience across Energy and Maritime sectors, he has seen the quantity of data that is created in these industries. Joe is interested in using Tableau to increase the impact of this data collection.
Ellie’s first experience of Tableau was at The Data School ‘Meet and Greet’ event. Immediately impressed by demonstrations and the range of clients that The Data School work with, Ellie decided that this could be a great career move. She is looking forward to developing her data analytics skills in a client centric environment.
Following her MA in International Business at the University of Provence, Sylvie started a career in the luxury retail industry as an export manager. When Sylvie realised that she enjoyed working on pivot tables and building sales reports far too much, she set upon finding like-minded people. This led to her coming across the Data School at a Data Plus Women event.
Ryan was first introduced to Tableau in 2016 when working as a consultant at a large consumer goods manufacturer. After discovering the Data School blog when looking for tips on how to improve his vizzes Ryan was struck by the breadth of creativity that Tableau allows, and for him the most exciting prospect of joining the Data School is the opportunity to refine his skills at visually presenting data.
Charlie was first introduced to the Tableau community while studying Game Design and Production Management at Abertay University. He quickly turned his focus to analytics and became passionate about working with data, combining his background in Graphic Design and Coding experience he put together an application to the Data School’s DS16 cohort.
After graduating with a degree in History and an MSC in HR Management, Eve spent two years working as a TEFL Teacher in South America and Madrid, where she discovered her passion for teaching. After returning to the UK worked in recruitment to improve her interpersonal and business skills. It was then that she discovered the importance of data and decided to pursue a career in analytics.
Ruth is a lifelong learner and teacher, and is passionate about sharing ideas. She has graduated from Civil Engineering, Economics, Architecture and Bespoke Tailoring. She’s looking forward to discovering many new trend lines with The Information Lab.
Michael developed a passion for science at a young age eventually leading him to complete a PhD in chemistry at Newcastle University. Seeking a transition into the world of data analytics, Michael discovered the Data School and was immediately drawn to it as a great opportunity to continue understanding and communicating insights in data.
Georgie graduated from the University of Auckland with a major in Geography and Statistics. She started her career as a Business Analyst in the Deloitte New Zealand Management Consulting team. Georgie moved to London and through her university and work experience, she discovered the importance of data and decided to pursue a career in analytics.
Sarah’s academic and professional experience has long entailed a dual interest in the arts and life sciences, especially the creativity and rigour required to solve novel interdisciplinary research problems. Sarah’s prior work as a pharmacy technician, archival researcher, writer, and editor required her to become an experienced user and critic of data analysis resources.
Nathan is a Chemistry graduate from Loughborough University. After a year and a half working in a chocolate factory, Nathan decided to put the analytical skills he developed whilst concocting chemicals during his time at university to good use.
Joe’s first experience with Data Analysis came in his final year of University where he studied a Year in Computing and underwent a Data Analysis dissertation. He really enjoys the intuitive nature of Tableau and marveled at the endless possibilities. He is really excited to start training and see where the journey takes him.
After graduating from Malaga University in Business and Management, he arrived in London to learn English to complement its curriculum. He managed to land a job at Pure as a Commercial Analyst, where he fell in love with data.
Ben completed his Masters in Economics from Stockholm University in 2017. began his role as a Business Analyst at a digital healthcare start-up, where he first encountered Tableau and data visualisation in a business environment. This is when Ben found the Data School, which seemed to be everything he was looking for!
Kamilla is a recent graduate from UCL with an MSc in Research Methods in Psychology, where she focused on programming, statistics, and visual perception. This is where she realised how much she liked analysing data and decided to pursue a career in the field.
After completing his 5 years in Petroleum and Petrochemical Engineering, Hesham wasn’t sure what to do. Wanting a bigger challenge, he decided to come to the UK to do his MBA at Coventry University London Campus. When he came across The Data School he was instantly hooked on the idea of presenting data in a creative and accessible format.
James graduated from International Relations at the University of Nottingham in 2016. After his graduation he ended up in challenging sales roles with an aim to improve his interpersonal and business skills. After some time in sales, he realised that it did not provide him with the kind of challenge he was looking for and realised the importance of making data understandable.
Sara joined The Data School from an entrepreneurial background, having started her first business at the age of 18 and later graduated with a Business Enterprise degree. It was through her own business experience and working with other organisations, that she discovered the power and importance of analysing and understanding data.
Jenny’s journey to the Data School started with a Maths BSc in Nottingham, then up to Edinburgh for an MSc in Operational Research, back down to Hertfordshire for a role in the Insight team at Tesco and finally into London. Having discovered Tableau and Alteryx whilst working at Tesco, she knew that these are the tools she wanted to learn more about and build her future career upon.
Natalia discovered her passion for data while studying Communication, Media and Culture at Oxford Brookes University. After graduation, Natalia landed a job at a media measurement consultancy providing qualitative and quantitative analysis for international blue-chip companies. She realised that she loved working with data and helping people understand it, and very soon wanted to do this at a larger scale.
Tom graduated from Aston University with a BSc in Business & Computing, and then worked as an account manager for an ERP reseller. When speaking to his various clients, he realised how important data was to their businesses which prompted his career change into the data world.
After 4 years studying BSc Information Management and Business Studies at Loughborough University, Hafeez then dedicated 1.5 years to playing football Semi-Professionally. Not satisfied with solely playing football and with the growing importance of sports analytics; Hafeez decided to pursue a career within data and fortunately came across The Data School.
Bona graduated from UCL with a Bachelor’s degree in Physics. When looking to start a career, he looked towards Data Analytics having been exposed to some during his university course. After applying to The Data School and picking up Tableau, Bona quickly became immersed in the community and eventually earning a spot in DS14.
Having spent 5 years studying at the University in Kent in Canterbury for his BSc Mathematics and MSc Computer Science degrees Jonathan began putting his analytical skills to work in the IT support sector. However, he soon found he missed being able to use mathematics and lacked a creative outlet. After researching how to get into data science, Jonathan stumbled across Tableau and the Data School and hasn’t looked back since.
Kolsuma graduated in BSc Economics and Management from King’s College London and has had previous internship experiences in marketing and analytics. During her degree, she enjoyed using econometrics software to gather interesting insights that help to test economic theories. After coming across The Data School, Kolsuma realized it was the perfect combination of training and client placements that would be a great start to her career.
Joe decided he wanted to pursue a more technical career whilst studying for a Masters in Applied Biosciences and Biotechnology at Imperial College London.
Débora studied Computer Engineering in Portugal while building her own business of music for special occasions. Wanting a bigger challenge, she decided to come to the UK to complete
people talk about Data Visualisation passionately and experiencing it herself using Tableau, she found the Data School and understood how it would be the best place to develop her skills and stimulate her creativity every day. Now in the Data School, the challenge she was looking for has finally
After a long career in the hospitality sector, Alessandro discovered The Information Lab thanks to a demonstration carried out at the University of West London, where he graduated in hospitality management. Alessandro was positively impressed by the hiring process of The Information Lab, which was based on the creation of a project rather than being tied with
After completing his master’s in mathematics in 2014, Robert found how much he loved working with data while working for an audit company that specialized in finding exceptions and missed funding for clients. This gave him a desire to build a career in data analysis and when he came across
Tableau, Robert became hooked on using visualizations to display insights from data. After playing around with tableau and meeting people involved in the data school, Robert knew that it was the perfect place for any inspiring tableau user to start their career.
Whilst Paul was studying for a Maths degree at Cardiff, he naturally drifted towards the more statistical modules. After finding that statistics could be related to sport, he became interested in data analytics and its application to his hobbies. Wanting to develop some more technical skills, he completed an MSc in data science at the same university, writing a dissertation on player recruitment in football. He spent a year working in the education department of the Welsh Government where he developed a love for data visualization.
Despite enjoying 5 years of studying Biomedical Engineering, Hanna got fed up with the theoretical point of view common in academia. After being introduced to Tableau during workshops with Luke, she decided to dig deeper into data visualization and data science. It was refreshing to find something that was focused on data but also allowed to be creative. Within the first week, Hanna got hooked on Tableau and Alteryx and was convinced the DS was the right move.
Sam graduated from Economics BSc at Plymouth University in 2015, unsure what to do he eventually found himself studying an MSc in Economics & Business,
After completing a Msc in International Business Management at the University of Kent, Aude has been working for an e-commerce company as a Digital Performance Marketing executive where she used data on a daily basis. She immediately understood the possibilities of Tableau when she trained for the application process, and realised that with a little experience and time, she produced nice and meaningful dashboards.
Brian developed an affinity for data analytics and visualisation while studying cognitive neuroscience. During his PhD, he analysed brain activity from older adults and individuals with dementia. While searching for opportunities that would afford him more data and a wider variety of projects, he found The Data School, applied, and hasn’t looked back. He is excited to get stuck into the world of visualisation and consulting.
After completing a degree in International Relations in 2017, Diego worked in a consulting company focused on attracting foreign investments for the development of sustainable projects in Chile. There he discovered the importance of data-driven decisions and decided to start learning data analysis tools during its free time. After six Excel online courses he finally discovered Tableau.
It was over the course of a two year stint working as a management consultant that Gregg decided to embark on a career in data analysis. Realising that the favourite part of his week was building models in Excel, he began to gravitate towards more of that type of work. He enjoyed solving this type of problem, even as he came to discover how these issues could be resolved in a few clicks with the right software and teaching.
After completing his undergraduate degree in Neuroscience, Jack was unsure where to begin his career and started to explore his options and found an interest at the prospect of working in BI. It was at this point that Jack discovered Tableau and became transfixed by its capabilities. After some self tuition of the software and exploration of the community, Jack discovered the Data School and knew it was the perfect place to develop his skill set and start his career in data analytics.
After graduating from university with a Mchem degree, Katharine entered the chemical industry but missed the creative freedom and problem solving she had enjoyed during her master’s year. She was considering potentially returning to academic life when she received an email about a Data School Meet & Greet event. Katharine was ignorant to the joys of Tableau prior to attending but found the availability of the software a refreshing change to academia.
Kofi joined The Data School from a Biomedical Sciences background, working in the NHS. Mainly unpacking, processing and entering data without exploring any of it. Becoming aware of the increasing importance of data and data analysis in Healthcare while becoming disillusioned with the repetitive and uninspired nature of the position, Kofi stumbled upon Tableau which piqued his interest in creativity and storytelling. Attending a Meet & Greet at The Data School solidified the decision to progress with data analytics and join.
Seffana is a recent graduate from the University of Warwick with a BSc in Systems Engineering. As much as she enjoyed studying engineering, she decided that she did not want to pursue a career in it. While looking for consulting roles, Seffana stumbled across The Information Lab and was considerably intrigued by their emphasis on wanting anyone that was simply passionate about data and visual analytics and did not need any prior experience required. This was exactly what Seffana needed!
Having utilised data analytics in his studies, he enjoyed the practice of distilling complex information into a digestible format, and often leveraged visuals for information transfer. A growing awareness of the widespread misuse of statistical analyses within the scientific community fostered a deeper interest in data analysis best practices, which led him to the field of data visualisation consulting.
Ellie has always been a numbers person, whether that be at her first job analysing weather models for the Met Office or more recently working with customer insights as a market researcher. She loved the analytical part of the roles and was enlightened by the impact data can have for an organisation.
The Data School is the perfect opportunity for Ellie to bring together her personal love for art and design with the career aspects that have captivated her so far.
Preferring the statistical side to his Psychology degree Harry was keen to find a job working with data. With no experience of data visualization tools and a degree not directly maths based he decided to complete an online course on Tableau. The speed and creativity it allowed cemented his desire to work with data and he is eager to build on the skills he has already developed.
After graduating from University with a degree in Financial Economics, Jonathan followed his passion to break down and simplify seemingly complex datasets into a manner accessible and comprehensible to suit every level of knowledge. Once he discovered the power of Alteryx and Tableau he was instantaneously hooked, perfectly marrying up his love to simplify a business’s data with the power to help others make sense of it.
After graduating with a Medical Engineering degree and a year working as a university researcher under her belt, Louise decided a career in engineering was not for her. Reflecting on what she enjoyed most about her past experiences, she realised she loved solving problems and finding interesting information from numbers. A career in data of some sort seemed like the right way to go.
Discovering the Data School and trying out Tableau opened her eyes to the possibilities in analytics (and she realised she suffered through Excel graphs, all the while Tableau existed). Louise knew a place in DS11 was what she wanted and here she is.
Maleeha graduated with a BSc degree in Psychology. Throughout her studies there was a heavy focus on research and analysis. Through this time she had heard about the Data School. While researching and learning the basics of Tableau, she became fascinated with the tool. Being able to divulge into data sets and easily utilise all the information. Maleeha since then has set her sights into a career in data analytics with a heavy focus using Tableau. After one too many business meetings where “we need more data” was mentioned, Louisa joined the Data School from a background of English, analytic programming and decision making psychology.
Manuela came across Tableau while working with a new Indian NGO on a pilot project in Delhi. While trying to turn the data into a dashboard, she soon discovered Tableau software, The Information Lab, and its blog loaded with useful resources. The Data School and its open application fascinated her. It offered a wonderful opportunity to learn, grow, and gain skills at the intersection of her many interests, from M&E to data journalism to civic tech.
Nearing the end of his MMath degree, Nicholas was looking for a career which used his love of problem solving in a much more real world environment that mathematical research could provide. After searching around it seemed data analytics was the next step for him as it is a powerful tool in such a variation of industries, which he hopes to be able to use to achieve his goal of having a positive impact of the environment. The Data School stood out as an amazing opportunity due to the brilliant coaching given and the range of experience gained from the placements.
After a master’s degree in English and Business Administration at the University of Bern, Switzerland, Thomas worked as a linguist and actor before joining the Data School, where he found the perfect place to combine his passions for storytelling and information technology. The joy of finding new insights, breathing life into numerical data and making complex issues easy to grasp is what got him hooked on Tableau.
After completed a master’s in chemistry focussing on white paint, Conrad wanted to add some colour to his working life. Having used high throughput engineering and modelling software to deliver six figure cost savings, he knew a career in data analysis was for him. It took the parts of science he loved, data manipulation and visualisation, and got rid of what he struggled with, hours of being stooped over in the lab.
Ellen’s background lies in various Social and Biological Sciences, having recently graduated from Warwick University with an MSc in Biotechnology, Bioprocessing and Business Management. Throughout her studies, Ellen enjoyed approaching scientific analysis with a creative flair. Accordingly, she revelled in gaining innovative insights from diverse sources of evidence and finding artistic ways to make complex biological concepts more communicable to wider audiences.
Whilst searching for a career after studying mechanical engineering, Gheorghie stumbled upon The Data School. He soon realised that Tableau and Alteryx was a quick and easy solution to many of the problems he ran into through his years at university. His new career marries his love for clear data and engaging presentation – which isn’t always easy to find!
Kirsty recently finished her degree in Mathematics at the University in Aberdeen. In her final year, she discovered a passion for data and analytics and knew she wanted to in data. Through word of mouth, she eventually encountered Tableau and The Data School and the fantastic programme offered to aspiring data analysts!
In her spare time, she plays guitar, piano and enjoys travelling.
Lily came across data visualisation whilst exploring options after a varied career as a nurse. She was instantly hooked on the idea of presenting data in a creative and accessible format, and wanted to learn more about the magical software that made it possible. Her curiosity and desire for self-development led her to the Data School, which offers the perfect chance to blend analytics and creativity in one exciting place.
After one too many business meetings where “we need more data” was mentioned, Louisa joined the Data School from a background of English, analytic programming and decision making psychology. She has previously worked in public and private organisations but found a common gap between the data that they had, and the questions they actually wanted to answer.
Nick graduated from the University of Manchester with a master’s degree in Geology with Planetary Science. Since then, he has worked as an environmental risk modeller for an agrochemical regulation consultancy. His constant passion for working with and understanding data led him inexorably to the Data School.
Before joining the Data School, Adi worked as a high school Geography teacher and subsequently spatial data analysis. Typically using PostgreSQL, QGIS and R Adi worked in environmental epidemiology research before becoming frustrated by the constraints of the academic process. With world-class coaching in two of the most globally in-demand software tools, Adi believes she has found the passions that fulfil her curiosity in The Data School.
Off the clock, Adi loves open water swimming, triathlon, singing and eating.
The great themes of Alexander’s life have been storytelling, design and data. Alexander’s storytelling skills have been developed through theatre and public speaking. His design skills have been developed through a international career in marketing. Alexander came across Tableau during his last job and it totally blew his mind.
Fuad’s interest in computing and video games sparked a passion for technology which later branched off into data. Curious to understand the value of data in the real world and the insights they create he finally stumbled across Tableau. In his spare time he loves to play sports, something that definitely brings out his competitive side, and having played almost 7 years at Essex County Cricket Club his progressive mindset is geared to take on the world of data.
After spending 3 months in rural Bangladesh, she discovered Tableau and became fascinated by its ability to quickly answer questions to global problems using data. Laine recently graduated in International Relations, fuelled by her curiosity to understand war, peace and international development.
Luisa has a background in Chemistry and Crime Science. She discovered Tableau while working as Researcher in a management consultancy where it enabled her to support consultants by analysing data in no time. Seeing how colleagues were fascinated by interactive dashboards, made her realise how powerful and accessible Tableau is. After hearing about The Data School she was convinced it would be the best place to master Tableau and Alteryx.
Via Massive Open Online Courses (MOOCS) Nils discovered the world of data analysis. Especially analysing the effects of anti-poverty strategies and policies fascinates him since he has worked in underprivileged communities in South Africa. He is a fan of Tableau because it helps him to tell compelling stories which raise awareness for social issues. His educational background is in Business Administration (MSc). Before joining the Data School, he worked as project management consultant in Germany.
Soha is a psychologist that developed an intrigue for data during her MSc in psychosis. She conducted a research study into factors affecting sense of presence in a virtual reality social environment, which has been submitted to the journal of Cyberpsychology, Behaviour and Social Networking. Her experience encouraged her to explore a career within the data field and led her to encounter Tableau, and the integral role of storytelling in data can have.
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.
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.
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.
Today DS18 received their first training on Macros in Alteryx. This is a challenging topic and has several concepts that are difficult to wrap your head round. One fairly simple thing I did take away was how to customize the macro tool. Configuring this isn't...read more
I’ve put together a few tips for using Tableau. Most are quick little ones that I use frequently. Enjoyread more
To be able to understand LOD’s we must first understand the basics of how Tableau visualises the data in your view. Dimensions can be dragged onto different shelves within a sheet to provide a level of detail to your viz. Depending on the dimension that you choose to...read more
Data preparation can take a long time, depending on the state and size of your data set(s), but there are different ways you can speed up your work in Alteryx. This is the first post of a five-part series on tools and techniques that will save you time when building...read more
The multi-row formula tool allows you to write expressions that reference the row preceding and/or the row following an active row. The tool gives you the option to update an existing field or create a new field and can be very useful if you need to reference multiple...read more
Every cohort in the Data School goes through infamous ‘Dashboard Week’. If you’ve not heard of this before, it involves getting a new unknown dataset every day, you then have until 5pm to prepare it, visualise it and write a blog on your process and your findings.read more
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