What’s the job?

  • We train you together with the rest of your cohort for four months in Tableau, Alteryx, data analysis, consulting, and more
  • Then, you gain experience working with clients over four six-month-long placements, leaving you with valuable cross-industry experience and networks

Who are we looking for?

  • You want to learn
  • You are happy to share your knowledge with others
  • You are open to feedback and to improve on it
  • You like the idea of helping others

When do I need to apply?

  • Our application process has recently changed and we have moved to an open application process. We have currently cohorts starting every four months in February, June, and October.

  • Interested in a specific cohort that works well for you? Apply for that one! Interested in the next cohort? Apply for that one! In other words, we’re always accepting applications.

  • Keep in mind that we still need to have deadlines for making offers for each cohort.

  • Note: Deadline and start dates are subject to change in light of the current situation regarding Covid-19.

Application Deadlines

COHORT DEADLINE START DATE
DS22 16/10/2020 01/02/2021
DS23 16/04/2020 07/06/2021
DS24 13/08/2021 04/10/2021
DS25 17/12/2021 07/02/2022
DS26 15/04/2022 06/06/2022
DS27 12/08/2022 03/10/2022

Who are we?

We have a simple mission: to help people make sense of their data. Since 2011, our UK team has grown to 100+ and our European community to 300+. We work with hundreds of companies of all sizes –  from small charities such as Dads Unlimited right through to renowned professional services companies such as PwC  – helping all of them make the most of their data. Sometimes this can be reconfiguring how they technically get and use their data; sometimes it can be through analysing it more effectively to make the right decisions. And sometimes it can be by training their teams internally. We do it all by specialising in becoming experts in the leading products for data visualisation and data integration: Tableau and Alteryx. Outside of our commercial work, we are also committed to building this mission by offering free and regular training to any individual or company who wants to attend.

What’s The Data School all about?

New to data or never heard of Tableau and Alteryx? Not a problem! The Data School was started as a way to train the next generation of data analysts and, particularly, Tableau and Alteryx specialists. For four months, you’ll be taught by two Tableau Zen Master head coaches along with other trainers from the wider team. You will also learn broader skills about storing, managing and presenting data, as well as personal skills to help boost your confidence in becoming an exceptional consultant. Then you’ll take part in four placements, where you’ll have the opportunity to use these skills to directly help our customers with their data.

Who is welcome?

Everyone! You may have noticed that the requirements to apply do not include any details regarding the technical skills or the background. That is because The Data School has been and always will be background-agnostic. Some of us do have strong technical backgrounds (in maths or data), but equally others have backgrounds in industries and interests as varied as journalism or hospitality and amongst us, we have both career starters and career changers. We want to continue to encourage a wider group to join us – not only with varied professional backgrounds but also cultural backgrounds. We know that our differences give us strength and that a greater variety of viewpoints leads to better insight into data. The only common ground needed therefore is a passion for the subject.

What are the Benefits?

  • £30k first year rising to £35k per year for the remaining time
  • Pension
  • Laptop
  • Mobile
  • 25 days holiday
  • Annual Christmas party (in May!) – previous locations Barcelona, Slovenia, Ibiza, Amsterdam and Hamburg 
  • Generous support for new parents
  • Employee Assistance Programme (EAP) membership
  • Regular and continuous support in your personal and professional development

What is it like to work here?

As a relatively young company, we’ve grown a lot in the last few years. Recruiting eight people every two months means we’re continuing to grow rapidly, so no one feels “new” for long.

Whether in training or on placement, you always have access and support from our internal community, where you can ask for help in technical and not-so-technical matters from the whole team. If you don’t like the idea of messaging the entire company, then we have pod and mentor systems to provide that extra layer of personal help.

You will be encouraged to keep on learning and to share what you’ve learned in the form of blog posts, videos, talks, and any other way you want. 

We’re committed to making The Information Lab a welcoming place for everyone, regardless of race, religion, religious belief, ethnicity, gender, age, disability, marital status or sexual orientation and know that this makes us a better place to work and in a better place to serve our customers. We have a flat hierarchy and a transparent way of working, where everyone is encouraged to put forward their views. We also host regular round table discussions on diversity and bi-weekly firm-wide Q&As, giving you the opportunity to have your opinion heard and learn from others to help us all be more inclusive.

Here's what we have to say:

It's a great place to work with a promising career ahead, following the stellar training and placements.

The application process is perfect as it truly asks you for what you can do rather than apologise for what you don't have. I didn't need to worry about being a fresh graduate nor having little-to-no coding skills.

Seffana, DS12

It’s fantastic to feel needed in organisations we go into and for good reason. We make a difference in people’s working lives that saves them time and money. The support and trust given by The Information Lab and other Data Schoolers alike are incredibly uplifting. Nothing is too big a task
Nathan, DS15

The Information Lab is a community as much as a company. By the end of my first week, I already felt like I was part of the team.

Gregg, DS12

The feeling that no time is ever wasted because you learn from every experience at The Information Lab. It really encourages me to try things, and feels great when you finally get it working or find someone who can help you get there.

Kolsuma, DS13

Joining The Information Lab after university has given me the opportunities that wouldn't have been possible. This is because The Data School does not require a certain degree from a certain university, the unique application process just looks at your passion for data. Coming from a Sports Science degree, I have already had placements at an asset management company and an insurance company

Jamie, DS16

The breadth of experience we get at The Information Lab, both technically and in terms of clients, has helped me shape my career and given me a great springboard for the future. For me, The Data School was the ideal place to start as it's an environment that actively encouraged learning and upskilling and provides access to lots of development and networking opportunities.

Louise, DS11

It is a great place to grow both your hard skills and your soft skills. While the first four months of training are tough, once you move into your placements you are still heavily supported and actively encouraged to keep growing. The Information Lab fosters a culture of growth and sharing. Everyone is willing to help each other grow on their data journey, whether they are new to the world of data or a seasoned pro.

Sam, DS13

The Information Lab is the only place I've ever worked where (1) I've learned something every day and (2) I'm encouraged to use my free time to learn and share.

Andy, Head Coach

Sounds great, how do I apply?

No need to send us your CV. Instead:

Join the community and download Tableau Public by creating a new account. For tips on how to get started, these videos are great.

From the submissions of our very first class, to the Tableau Public Gallery, there’s brilliant examples for you to look at and research. Need more inspiration, check out Coach Andy’s page to see what previous cohorts have created to get into The Data School.

Choose any data set you want! We mean it; from politics to sport, TV and popular culture. Tableau provide many data sets on their resources page. Still unsure of what data to use? Check out the 90+ datasets available on the Makeover Monday website. Our top tip is to find data that interests you.

Now the fun begins! Once you have your data set, you can begin creating your visualisation! Once it’s ready, publish it for all to see. Need help? Get in touch with any of the team or coaches! We’re more than happy to give advice and guidance.

There are plenty of training videos on Tableau Public and tons of tips written by Data Schoolers past and present.

Once your work is live on Tableau Public and collecting love from the community, click on ‘Apply’ button for the cohort you wish to apply for! Let our team of coaches help improve your viz. We review all visualisations sent our way and if you get it in early, we’ll provide feedback for you to make it even better. While you’re at it, send us a nice note too. Tell us a little bit about yourself.

If we see passion, creativity and a flair for data, we’ll follow up with you personally.

Ready to get started?

To get started complete the following form. We’ll send you a bunch of Tableau resources and more information on submitting your application.



What’s next?

Check out where did the Data School Alumni go after finishing!

Giorgia Umani

Giorgia Umani

Data School 7

Data & Business Analytics Manager
CBRE (London, UK)

Education
MSc Accounting and Finance
Queen Mary University of London

BSc (Hons) Economics
University of Plymouth

Placements
Nutrition Integrated
Close Brothers
Solar Turbines

Work Background
New Grads.

Charlie Daffern

Charlie Daffern

Data School 7

Data Analyst
Sporting Group (London, UK)

Education
MPhil Polar Studies
BA Geography
University of Cambridge

Placements
IAG Cargo
KPMG
Solar Turbines

Work Background
New Grads

Joe Macari

Joe Macari

Data School 7

Data & BI Manager
TAKKT AG (Glasgow, UK)

Education
BSc (Hons) Mathematics and it's Applications
University of Stirling

Placements
National Trust
Cargill
Solar Turbines

Work Background
Higher Education.

Mina Ozgen

Mina Ozgen

Data School 6

Principal Consultant
Aimpoint Digital

Education
BSc (Hons) Economics
SOAS (University of London)

Placements
Boston Consulting Group
Solar Turbines
Kurt Geiger
Aldermore

Work Background
Analyst

William Guicheney

William Guicheney

Data School 6

Senior Analyst
BCG GAMMA (London, UK)

Education
B.A. Economics & International Development, McGill
Msc Development Management, LSE
MicroMasters, Data & Economics, MIT

Placements
JLL
BCG x2

Work Background
Economic Development & Analytics

Anna Noble

Anna Noble

Data School 4

Senior Analyst
Jaggaer (London, UK)

Education
MA Online Journalism
Birmingham City University

BA Economics
Newcastle University

Placements
Eli Lilly
Virgin Atlantic
Inmarsat

Work Background
Journalist/blogger and various roles with a plane ticket to a different country.

Alex Jones

Alex Jones

Data School 6

BI Specialist
JLL (London, UK)

Education
Business Administration + Sociology BSc Hons
Aston University

Placements
Solar Turbines x 2
JLL

Work Background
Management Consultant at Atkins

Rachel Phang

Rachel Phang

Data School 5

Transaction Data Analyst
Refinitiv (London, UK)

Education
MSc Finance & Management
Keele University

BSc Economics, Econometrics & Finance
University of York

Placements
ISS
UBS
JPMorgan

Work Background
Investment Management
Credit Rating Agency
Legal Secretarial

Amanda Patist

Amanda Patist

Data School 3

Senior Self Service Analytics Coach
Cargill

Education
PhD Biomedicine
University of Manchester

MSc in Structural Biology and Biophysics
University of Manchester

BSc Biomedical Science
University of Manchester

Placements
Elly Lilly
BCG x 2

Work Background
Molecular Endocrinology & Stem Cell Research

Dan Watt

Dan Watt

Data School 4

Lead Analyst
Nutrition Integrated (Windsor, UK)

Education
BEng Civil Engineering
University of Exeter

MSc in Applied Physiology
University of Brighton

Placements
UBS
Virgin Atlantic
Clarus One Sourcing

Work Background
Market Resarch / Marketing

Naledi Hollbruegge

Naledi Hollbruegge

Data School 3

Analytics Manager
Operation Fistula (London, UK)

Education
BSc in Psychology
University of East Anglia

MSc in Social and Cultural Psychology
London School of Economics

Placements
Deloitte
Exasol
The Information Lab Germany

Work Background
Social Research

Emily Dowling

Emily Dowling

Data School 3

Senior Analyst
Boston Consulting Group (London, UK)

Education
BA (Hons) Ancient History
University of Bristol

Placements
Ocado
Boston Consulting Group x2

Work Background
Management Consultant

Peter Gamble-Beresford

Peter Gamble-Beresford

Data School 3

Consultant
The Information Lab (London, UK)

Education
Bachelor of Science (BSc), Economics
University of Warwick

Placements
UBS (Service Management)
Jones Lang LaSalle (JLL)
UBS (Neo)

Work Background
Social Media Analytics at Media Measurement
Ski & Snowboard Instructor in Obertauern, Austria

Damiana Spadafora

Damiana Spadafora

Data School 1

Senior Data Intelligence Analyst
Financial Times (London, UK)

Education
Bachelors in Economics
LUISS Guido Carli University

Masters in Management
Stockholm School of Economics

Placements
G Research
Virgin Atlantic
Schroders

Work Background
IT/Management Consultant

Hashu Shenkar

Hashu Shenkar

Data School 1

Analytics Consultant
Deloitte (London, UK)

Education
Bachelor of Science (BSc), Computer Science with Business Management and Accounting
Queen Mary, University of London

Placements
Financial Microscope
Coca-Cola
Conduent

Work Background
IT Analyst at NHS

Lorna Eden

Lorna Eden

Data School 2

Group Insight Manager
Edward Mellor Estate Agents (Stockport, UK)

Education
Bachelor of Science, Sports and Exercise
Edge Hill University

Master of Science, Sports Science (Biomechanics)
University of Chester

Placements
United Utilities
UBS
Jaguar Land Rover

Work Background
Performance Analyst at British Gymnastics

Jules Winceslaus

Jules Winceslaus

Data School 2

Analytics Consultant
Deloitte (London, UK)

Education
Bachelors of Medicine, Surgery and Medical Sciences with Psychology
University College London

Placements
Deloitte x 3

Work Background
Medical Doctor

Simona Loffredo

Simona Loffredo

Data School 2

BI
Natoora (London, UK)
Business Analyst
Exasol (London, UK)

Education
Bachelors in Mathematics
University of Naples Federico II

Masters in Mathematics
University of Milan

Placements
Boston Consulting Group (BCG)
Inchcape Shipping Services
Conduent

Work Background
Management Consultant

Rob Suddaby

Rob Suddaby

Data School 2

Senior Data Analyst
Noetic Marketing Technologies (London, UK)
Data Analyst
Leicester City FC (London, UK)

Education
Bachelor of Science with Honours, Applied Accounting
Oxford Brookes University

Placements
Xerox
Jones Lang LaSalle (JLL)

Work Background
Finance Analyst at Vodafone

Nai Louza

Nai Louza

Data School 2

Data Analyst
UBS (London, UK)

Education
Bachelors of Arts in Psychology
Minor in Anthropology
University of British Columbia

Masters in Management
University College London

Placements
Eli Lilly
Conduent
UBS

Work Background
Research Assistant

Ben Moss

Ben Moss

Data School 2

Consultant
The Information Lab (London, UK)

Education
Master of Science, Performance Analysis in Sport
Cardiff Metropolitan University

Bachelor of Science (BSc), Sport and Exercise Science, BSc
Coventry University

Placements
UBS
Boston Consulting Group (BCG)
Jaguar Land Rover (JLR)

Work Background
Clinical Audit at NHS and Sports Analytics

Emily Chen

Emily Chen

Data School 1

Consultant
The Information Lab (London, UK)

Education
Bachelor of Business Administration, Marketing
Simon Fraser University

Placements
Eli Lilly
Financial Microscope
Ocado

Work Background
Marketing and eCommerce

Ravi Mistry

Ravi Mistry

Data School 1

Consultant
The Information Lab (London, UK)

Education
Bachelor of Science (BSc), Economics
University of Plymouth

Placements
Boston Consulting Group (BCG)
Deloitte
Novartis

Work Background
New Grad

Anuka Teggart

Anuka Teggart

Data School 2

Data Analyst
Haven Claims (Kent, UK)

Education
Masters in Environmental Biology
University College London

Placements
Coca-Cola
British Petroleum (BP)

Work Background
New Grad

Alex Muntus

Alex Muntus

Data School 1

Senior Analyst
BravoSolutions (London, UK)

Education
Bachelor’s of Science, Physics
University of York

Master of Science, Fusion Energy
York Plasma Institute

Work Background
Database Administrator

Benedetta Tagliaferri

Benedetta Tagliaferri

Data School 2

Consultant
The Information Lab (London, UK)

Education
Bachelor of Business Administration, Business/Managerial Economics
University of Florence

Masters in Financial Markets and Institutions
University of Bologna

Placements
Virgin Atlantic
Inchcape Shipping Services (ISS)
British Petroleum (BP)

Work Background
New Grad

Pablo Sáenz de Tejada

Pablo Sáenz de Tejada

Data School 1

Consultant
The Information Lab (London, UK)

Education
Business & Marketing Analytics
ESIC

Licentiate in Sociology, Human Ecology and Population
Universidad Complutense

Placements
Easyjet
Deloitte
Inmarsat

Work Background
Market Research

Sasha Ougolnikova

Sasha Ougolnikova

Data School 1

Consultant
The Information Lab (London, UK)

Education
Bachelor of Science, Developmental Biology
University of Manchester

Masters in Molecular Plant and Microbial Sciences
Imperial College London

Placements
UBS
Higher Education Statistics Agency (HESA)
Boston Consulting Group (BCG)

Work Background
New Grad

Niccolò Cirone

Niccolò Cirone

Data School 1

Regional Data Coordinator
World Food Programme (Johannesburg Area, South Africa)

Education
Bachelors in Philosophy
Roma Tre University

Master of Science, Management
LUISS Guido Carli

Placements
Virgin Atlantic
Boston Consulting Group (BCG)
Deloitte

Work Background
Business Development and Management