INSIGHT ANALYST / DATA SCIENTIST
We are searching for a Analyst with proven experience in statistical programming, insights delivery and strong communication skills, to join an exciting data driven digital agency.
You will need to have intermediate experience with one of the following analytical tools:
SQL, R, SAS, SPSS or Python
This is a great opportunity for a candidate with some commercial experience in analytics, to gain exposure to modern technologies and work with digital data.
Established in 2012 our client describe themselves as a data driven digital start-up, comprising of 15 people and rapidly growing - both in culture and rapid growth. Initially an ESP, they have developed their offering to include media planning and buying and advanced analytics.
Over the last 2 years one of our trusted Data Science contacts in industry, joined to set up and develop their Data Science offering. This includes digital attribution modelling, reporting on digital campaign performance (including programmatic), managing and developing algorithms to predict online customer purchasing behaviour and delivering actionable insights. They have now decided to move on and hand over the reigns to someone more junior who can take over the processes which have been set up and work to continue to grow the offering. In line with this you will receive any necessary training required and close support from your Analyst and Developer peers, with whom you will partner on projects. And of course there is your line manager who has a very impressive and credible background in data analytics, so you will work closely with them too.
You will be working with well-known fashion retail brands, building relationships through offering expertise and knowledge share in data science and analytics.
Technically you will employ Python and Spark, Tableau and PowerBI for reporting and SPSS for analytics (possibility to use R here too - they are very flexible).
POSITION - Insight Analyst / Data Scientist
LOCATION - Central London
SALARY - £30k - £40k plus benefits and training
- Educated to degree level or above in a numerate subject Mathematics, Statistics, Economics, Machine Learning, Computer Science etc.
- Skilled to an intermediate level in an analytical programming tool such as R, Python, SAS or SPSS
- Exposure to digital media (paid, PPC, programmatic) or customer level data in large volumes (millions or billions of rows)
- Confident in presenting your insights and findings to managers
- Adaptable, comfortable with ambiguity and take a solutions focused approach
- Excellent communication skills, both written and verbal; concise, articulate, engaging
For further information or to apply please contact:
Managing Consultant - Blue Pelican Marketing
For more vacancies which may suit your needs, please visit us at www.bluepelican.com
- big data
- data science
- data scientist
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