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*DATA CONSULTANT ANALYST - LONDON - £35K+ - (SAS/R/SQL/Python)*

Job Title: *DATA CONSULTANT ANALYST - LONDON - £35K+ - (SAS/R/SQL/Python)*
Contract Type: Permanent
Location: City of London, London
Industry:
Salary: £35000 - £40000 per annum
REF: 8375
Contact Name: Peter Tam
Contact Email: peter.tam@parallelconsulting.com
Job Published: 6 months ago

Job Description

*DATA CONSULTANT ANALYST - LONDON - £35K+ - (SAS/R/SQL/Python)*

We are looking for enthusiastic professionals (with data science experience), to work as a consultant on in-house and external projects, in a dynamic fast-paced environment.

Our client has surpassed its "start-up" phase and is looking forward to the next level of its progression. Their clients vary across the following sectors: FMCG, Media, FS, Retail etc..

We are looking for a experienced person with a data analysis background, who is able to tell a story from the data, and convert this to actionable insights for the business.

Working amongst a team of brilliant data scientists and software engineers, with the projects being managed by the senior data consultants.

This role consists of working directly with clients to understand their business critique, dive into the insights and recommend actions.

Requirements for this position:
- Numerical degree: Maths, Science, research etc..
- Programming Languages: (E.g. SAS, SQL, R, Python etc)
- Experience of working with customer data
- Strong communication skills
- 1-2 years commercial working experience
- Passion for data
- Good organisational skills and self planning working in a dynamic environment
- Exposure to visualisation tools

*Unfortunately this role does not provide sponsorship*

Interview process:
- Technical phone screen
- Technical case study
- Face to face interview and presentation with Q&A

Apply now if you are looking for a step up in your career!

Parallel Consulting is a multi-awarding winning, global leader in Analytics & Data Science recruitment.
With over 12 years expertise, we assist our clients within Analytics, Customer & Marketing Insight, Web Analytics, Big Data, Data Science, Credit Risk and BI.