Data Analyst

Hi, I am managing this position

Annie Usher


Greater London
£36k - 43k per year
Data & Analytics

A brilliant Permanent opportunity for a Data Analyst to join a fast growing geoscience consultancy.

Data Analyst Role:

  • Translate business requirements into functional and technical data designs, develop data and analytical solutions in collaboration with stakeholders, iterate on interactive data visualization with users.
  • Setup ETL process for data from multiple sources using python/logstash.
  • Create solutions that solve business challenges and meet user needs using Kibana/Grafana/React/Python/SQL
  • Identify and recommend opportunities for process improvement and liaise with business and technical team s to implement these changes.
  • Design, develop and automate solutions.
  • Engage with stake holders at all levels to understand and document business requirements.
  • Advise, train and support users where necessary

Data Analyst Experience:

  • At least 5 years commercial experience in working as a Data Analyst or similar role.
  • Experience of ELK stack/React/Python/SQL coding.
  • Good understanding of Business Analysis, Data modelling, Data Infrastructure and ETL processes.
  • An eye for data quality and integrity, loading, cleansing and querying data from

structured and unstructured databases.

  • Experience in working as part of Agile and multi-disciplinary team s
  • Strong problem solving, analytical and logical skills.
  • Designing and building dashboard for clients (Kibana/Grafana etc )
  • Good understanding of Kafka, Docker, Kubernetes, Microservices
  • The ability to articulate ideas and proposed to stakeholders across the business, both technical and non-technical audiences.
  • Create documentation for technical and non-technical users.
  • Willingness to learn new skills and have a Can-do, Will-do attitude.
  • ·

If this opportunity sounds of interest, please apply now!  The base salary is between 36-43K (DOE) and Interviews will commence from 15th September 2021.


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