Lead Data Analyst Python SQL

2 weeks ago

Devon, United Kingdom Staffworx Full time

Job Description Lead Data Analyst – South West, to £70K + bonus, full bens

Leading software company, looking for experienced senior / lead data analyst to lead the evolution of data infrastructure and analytics as they build and develop next generation of self-service data tools for customers and transition to new Azure Cloud platform.

We are looking for a critical thinker who has experience in building and developing new analytical data structures, to extract the most insight from our data.

Strong experience in data modelling, data warehousing, data processing (Map Reduce)
Expert in SQL and at least one analytical programming language (R, Python or Julia)
Proficient in at least one BI tool (Power BI, Tableau, Qlik Sense).

a key decision maker in the development of cloud based data warehouse.
in the development of new data structures.
in the creation of new analytical insights, vision for data
stakeholder management of internal and external consumers.
coaching and mentorship to junior members of the team.
best practice techniques for analytics (code review, optimisation, critical thinking, data validation, version control)
look to improve and expand data capabilities.

in a Senior Data Analyst/Scientist role
experience using data modelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques
Expert in SQL
programming language (Python (preferred), R or Julia)
of IAC principles and best practice coding (GIT, SVN)
to optimise workflows and analysis for map reduce processing
with BI software (Power BI, Tableau, Qlik Sense)
leading or managing a small analysis team
working in an agile team

If you are a highly motivated and experienced Data Analyst / Leader, passionate about driving innovation in the data science and analytics space, we would love to hear from you.

This advert was posted by Staffworx Limited - a UK based recruitment consultancy supporting the global ecommerce, software & consulting sectors.

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