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Data Analyst Python SQL - Energy

Premium Job From Client Server
Recruiter: Client Server
Listed on: 22nd June
Location: London
Salary/Rate: £45,000 - £55,000
Type: Permanent

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Data Analyst London / WfH to £55k

Data Analyst (Python SQL) *Hybrid WfH*. Are you data savvy with strong analysis and problem solving skills? You could be joining a tech driven real-time market data and research provider for Renewable Energy markets as part of a small collaborative team of software and finance professionals.

As a Data Analyst you'll have exposure to the full lifecycle, from data mining to building and maintaining data models and assisting with detailed analysis. Typically you'll be interacting with markets analysts to understand modelling requirements, collecting market data from external sources, cleaning and preparing for analysis, modelling market data scenarios, deploying models and supporting a range of strategic data initiatives.

You'll join a supportive team, where you'll receive mentoring and have continual learning and career development opportunities. You'll join colleagues in the Canary Wharf office with flexibility to work from home three days a week. There's perks such as the latest MacBook Pro, licenses to any software you want to use, training and personal improvement budget and when you are in the office, fresh fruit daily, breakfast, snacks, in-house bar open on Fridays and an annual company retreat.

Requirements:

  • You have commercial experience as a Data Analyst
  • You have good Python programming skills and can data build models from scratch using tools such as Pandas, Scikit Learn, StatsModels, TensorFlow
  • You have experience of collecting data from external sources (Websites, APIs, FTP etc.), using packages like requests, BeautifulSoup, Selenium, Scrapy
  • You have a good knowledge of SQL
  • You have strong analysis and problem solving skills
  • You're collaborative, keen to learn and progress

As a Data Analyst you will earn a competitive salary (to £55k) plus benefits.

Apply now to find out more about this Data Analyst (Python SQL) opportunity.