Data Analyst - SQL, Python, R, Statistics, Data Analytics


Premium Job From Michael Page

Recruiter

Michael Page

Listed on

8th November 2019

Location

City Of London

Salary/Rate

£45000 - £55000

Type

Permanent

Start Date

22/10/2019

This job has now expired please search on the home page to find live IT Jobs.

Data Analyst - SQL, Python, R, Statistics, Data Analytics

Brand new role for a Data Analyst to take ownership of digital asset investment analytics within an entrepreneurial business. Client DetailsMy client are a Cryptocurrency and Digital Assets business who are data-driven by their very nature and are growing their Analytics function. They crunch vast amounts of data and need an individual to take ownership. DescriptionAs a Data Analyst, you will be responsible for sourcing, maintaining, cleaning and analysing data from a variety of data sources that underpin the business' products. You will apply statistical and data science methods to internal and external data sets, running projects end-to-end and working with internal stakeholders and external partners to support in the creation of research for the Cryptocurrency industry.You will utilise various tools and languages to crunch large data sets and present information to stakeholders and non-technical audiences. You will work with a solution built in R / Python that integrates a number of API's, assuring this is maintained, developed and enhanced where appropriate.

This role would suit an entrepreneurial spirited person who wants to take ownership over analytics within an ever changing and constantly evolving industry. ProfileEssential skills & experience:Analytics backgroundApplying statistical methods using Python or RSQLAdvanced ExcelUnderstanding of FS investment productsDesirable skills & experience:API'sFamiliarity with digital assets, cryptocurrency or blockchain Job OfferMy client offers a starting salary of up to £55,000 and the opportunity to work in an exciting, fast-paced industry on innovative research where you can take ownership.

You are currently using an outdated browser.

Please consider using a modern browser such as one listed below: