Logikk is working in partnership with an online comparison business looking for a Jnr Insight Analyst/Data Scientist to join the team on a permanent basis. This organisation is at the start of their data journey, so this is a fantastic time to be getting involved, as they move to a new data environment and become a more insight led business.
Given the nature of the role, you will be comfortable working with data from key operational areas from across the business, interrogating these datasets, writing python scripts to merge data and extract insight that will ultimately enable better decision making moving forward.
You’ll also ideally have some commercial experience already and won’t be afraid to put forward new ideas in order to help better refine subsequent outputs, e.g. the addition of new data sources. You will effectively have a blank canvas to come in and add some serious value immediately, with full support of a forward-thinking Company.
- Minimum 2:1 or above STEM-related degree, (Maths/Quant based ideally)
- Strong Python skills and associated packages (Pandas, Numpy, Sk Learn, Plotly)
- Strong knowledge of SQL
- Solid Data Vis skills (ideally Tableau)
- Machine Learning – (Regression, Classification, Statistical Learning, Clustering)
- Experience of working within a Commercial environment
- Able to demonstrate business acumen (solid understanding of a business, it’s functional areas and how it all fits together)
- A people person, able to communicate effectively with those around them, at all levels
- Flexibility! A team player, able to work for the greater good of the business and its objectives
This is an awesome business to work for, with a brilliant working environment and culture. Additionally, lots of opportunities to develop + performance related increases, meaning you can progress further in a shorter space of time.
The role comes with great benefits, a flexible salary of around £30k-£40k, Benefits and Bonus.
Please get in touch with me for a further discussion if this is of interest, on 07725 988 809 or via mail [email protected].
Insight analysis / Data Science / Operational Data / Customer Data / Customer Churn / Segmentation / Profiling / Pricing / Python / SQL / Tableau / Data Visualisation / Machine Learning