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Become a Technical Support Analyst

Work at the cutting edge of data-driven analytics, developing software improving the working lives of hundreds of thousands of people.

Technical Support Analyst Old Street, London 

  • £26,000 - £28,000
  • Pension
  • Friday drinks
  • Share scheme
  • Cycle to work scheme

What you will be doing

We are looking to expand our Operations team in London with a tech support analyst who is interested in our client on-boarding and customer success management processes to deliver state-of-the-art tools and services for data transformation and machine-learning powered analytics.

Liaising with all nearly all areas of the business including Marketing, Sales, Consulting, R&D, Engineering, and QA.

  • Your primary responsibility will be supporting internal and external clients usage of the “data-wrangler”, our centralised data repository and transformation engine, which acts as the data interface between all our machine-learning and analytics tools.
  • The data-wrangler is written in Scala (2.12) and designed to be a high-performance columnar data-store, with an embedded scripting language (Qlearscript) for expressing high-level data transformations.
  •   
  • Your secondary responsibility will be to act as front line support for both internal and external clients.
  • This includes analysing and resolving issues related to our predictive analytics tools, and Natural Language Processing toolkit, which we use to analyse themes and sentiment within free-text employee survey responses. These tools are currently written in Python but may be rewritten in Scala in the future.

What you will have

Come join our team and work at the cutting edge of data-driven analytics, developing software which has already helped improve the working lives of hundreds of thousands of people, and could improve the lives of millions.

Knowledge of Python alongside some client-facing experience is desirable however it is not mandatory. We are looking for a graduate who fits the profile below.

  • You are numerate – degree in maths, computer science, or similar
  • You are very familiar with data structures and data manipulation techniques
  • You are comfortable translating tech to business and vice versa
  • You are intermediate to advanced experience in excel or similar (SPSS/SQL/R) 
Onwards to our company and culture…

We are Qlearsite Ltd

We are Organisational Scientists with a clear goal in mind; to improve working lives

About Qlearsite Ltd

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Our Culture - What we do

We have created a new scientific people analytics discipline, 'Organisational Science', that uses 'big data' techniques and artificial intelligence software to deliver actionable insights.

In a nutshell, we use our unique suite of technologies to solve organisational challenges, whether that be engagement, inclusion or retention of employees.

 

Our unique work environment  

Our work space is in the heart of London’s tech start-up hub, on the famous silicon roundabout. The office is spacious, open plan and artistically decorated, with food and drink aplenty.

Our culture is multi-disciplinary, from machine learning to psychology, ethnography to engineering. This fosters a genuinely collaborative and creative environment for learning that you won't find elsewhere.

We have a very friendly and sociable office, and get together on Friday evenings for drinks, nibbles and VR fun. We also plan all-hands social events on a quarterly basis- recent socials have taken us to ‘The Escape Rooms’ and other team building venues.

What makes our company great for a graduate

Unlike more traditional firms, as a graduate at Qlearsite you will receive responsibility and ownership of tasks from day one.

This means direct exposure to client challenges and projects and use of our unique, and pioneering set of workforce analytics technologies, offering a fantastic environment for learning and personal growth.

We have a flat structure which encourages you to shape how we work better at Qlearsite. This means you will continually develop our firm and care for our community of ‘Organisational Scientists’.

Like what you see?