Senior Data Analysts

5 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Clarksons Research, the market leading provider of data and intelligence across shipping and trade, is seeking hard-working and enthusiastic individuals to join our expert team to support the expansion and development of our business. Clarksons Research is part of the Clarksons group, the world’s leading integrated shipping services provider and a FTSE 250 company headquartered in London.

Clarksons Research is looking for experienced data analysts that are keen to take responsibility for delivering insights to clients based on wide ranging, interesting data sets using the latest data science and analytical techniques, and building data pipelines to facilitate analysis.

The Role

-         Lead in proposing plans and implementing systems for processing and analysing big data sets.

-         Work with a high-volume data set, including spatial data.

-         Develop and use algorithmic and machine learning techniques to extract, transform, derive, aggregate and validate data.

-         Work in a fast-paced, motivated and agile team.

-         Work alongside data engineers and developers to deliver big data processing solutions and analytics.

Requirements:

-         Must have 5+ years’ experience in data analytics or data science having worked with big data to build processes and workflows.  

-         Azure Databricks (minimum 4 years’ experience),

-         Excellent technical skills in SQL, Python and the Azure eco-system (Storage, ML, Event Hubs)

-         Strong numerical, data handling and analytical skills in relation to complex data sets are required.

-         Fluency in spoken and written English is essential with the ability to articulate analysis.

-         Have an excellent degree in a relevant numerate or analytical subject (e.g. mathematics, chemistry, physics, computer science, engineering etc.)


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Further details

https://www.linkedin.com/company/clarksons-research/


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