Data Analyst

Title: Data Analyst | Analytics | £22K - £26K | Paddington

Industry: Analytics

Role/Sector: Analyst   |   Data scientist

Location: West London

Placement: Graduate job (permanent)

Salary: £25,000 (per annum)

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Information on the company

Our client helps companies connect the online world with the offline world using mobile location technology data. They combine cutting-edge mobile location data collection with proprietary machine learning analytics to create new value and insights from location information.

Our client is media-agnostic and work with a variety of media, advertising, technology partners - plus the world's biggest brands. Their technology is well positioned to fulfil the need for greater accuracy and accountability in a growing market that is increasingly looking for superior data and verification.


We are the leading location technology company in the UK and set for huge growth over the next few years. We currently have two core products i) a UK location data insights platform where we generate solutions for the likes of CACI, Talon, Adsquare, JCDecaux, Nandos, Heineken, Google and Starbucks, from our fully anonymized, GDPR-compliant location data and ii) a first of a kind location verification tool for the $145bn global ad-tech industry.

We are looking for an ambitious, personable, team oriented person to join our rapidly growing Data team as a Data Analyst. Reporting to the Lead Data Scientist, the key responsibilities for the Data Analyst will be as follows:

  • Interpret client requirements into analytical tasks
  • Perform ad-hoc data analysis tasks using SQL and Excel.
  • Learn the curation and enhancement of our data-lake using data mining methods with Python
  • Assist in the production of client reports


  • Self-starter, proactive and ability to work to deadlines
  • Eager to learn and work extra hard to jump start career
  • Good hands-on knowledge of databases and SQL.
  • Good hands on knowledge of Excel and its formula/functions
  • Awareness of data file types, data transfer methods and data structures such as XML and JSON
  • Engineering/Mathematics/Analytical background to Bachelor level or above
  • Strong presentation skills & PPT experience

Good to have:

  • A functional programming language e.g. Scala
  • Experience with the AWS ecosystem: EMR, Spark
  • Good knowledge of data structures and algorithms
  • Hands on experience with Python and/or Jupyter notebooks
  • An interest in the mathematics behind the algorithms
  • Some knowledge of statistical distributions.


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