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Simon Tunmore

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Data Analyst | Medtech Startup | SQL, Python | 50-55k

London, UK

£50,000 - £55,000 per annum

GBP

Published

12-Feb-20

Type

Permanent

Ref No

BBBH13241

Contact

Simon Tunmore

Telephone

0203 206 1902

Data Analyst | Medtech Start-up | SQL, Python | £50,000-55,000

Our client, a successful, fast-growing start-up within Medtech is looking for a new Data Analyst to join their team!

This forward-thinking, technology-focused company is on a mission to build scalable products that will help others to feel better and live longer. Through their GP services platform and clinical information website, they are generating huge amounts of data that needs to be harnessed in the form of smart business insights. As a Data Analyst, you will be working to draw out these business-impacting decisions, present these to senior stakeholders in the business and ultimately help to steer the future success of the company. In return, you will enjoy great work flexibility, a strong benefits package, and the chance to do genuine good through a company that genuinely puts people first.

So, if you're looking for a Data Analyst role with great growth opportunities with a forward-thinking, ambitious company we need to see:

- Experience of SQL and Python for Data Analysis and insights generation

- Highly tuned communications skills; a proven ability to present data outcomes to non-technical stakeholders at all levels.

- Experience of working with large datasets in a cloud-based environment (AWS, GCP etc.)

- Great analytical abilities; highly numerate and passionate about data!

A successful candidate might also have:

- Experience in a Medtech or startup environment (or even both!)

- Experience in statistical data modelling with R or Python

So, if this sounds like a Data Analyst role you'd be interested in, don't hesitate and apply now for immediate consideration!

Data Analyst | Medtech Start-up | SQL, Python | £50,000-55,000

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

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