Digital Parking Analyst (London, UK)

Digital Parking Analyst (London, UK)

Do you want to join a company who are trusted by over 1 million drivers in the UK, have recently been featured on Sky News, and are in The Sunday Times Tech Track 100 as one of Britain's fastest-growing private technology companies?

Look no further!

Think of Airbnb, but for parking!

YourParkingSpace is an online marketplace and parking reservation service for drivers looking to find and pre-book parking in the UK. The platform features over 350,000 privately owned and commercially operated parking spaces which are available to book by the hour, day or month on a subscription basis.

With so many exciting things happening, now is the perfect time to join our team!

What You'll Be Doing

  • Analyze customer journeys on web analytics platforms such as Google Analytics and AppsFlyer.
  • Monitor data, tag quality, and proactively investigate issues and discrepancies.
  • Monitor and optimize the performance of tags and the use of cookies.
  • Execute ad-hoc queries using multiple data sources within the company’s datalake ecosystem.
  • Preparing various ad-hoc analytical reports or insights to aid different departments within the company in decision-making.
  • Partnering with different teams, and understanding their processes in order to identify their needs and the required reporting.
  • Undertake analysis to monitor and report key performance indicators (KPIs).
  • Work with the engineering team to ensure data flows securely and optimally between all systems.

Who We're Looking For

  • A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience).
  • 2+ years experience in an analytics role, preferably in e-commerce or online marketplace.
  • An understanding of the complete Google Marketing Platform stack.
  • Strong experience working with Firebase and App tracking
  • Strong knowledge of Google Analytics architecture and the general customer journey.
  • An understanding of how analytics-generated audiences can drive marketing effectiveness.
  • Experience with Google Tag Manager.
  • Experience with SQL.
  • Comfortable in a small, fast-paced environment.

Preferred Qualifications

  • Experience with a scripting/statistical language such as R or Python.
  • Knowledge of the ETL (Extract, Transform & Load) framework.
  • Good understanding of the key principles behind ML, AI, data wrangling and the common algorithms.

What's In It For You?

  • 24 days annual leave + this increases after 3 years, with one extra day added each year (maximum 3 additional days)
  • Birthday off
  • Enhanced maternity and paternity leave
  • Learning and Development opportunities
  • Volunteering and fundraising for our chosen charity
  • Monthly parking credit, as well as free parking at the office
  • Gym membership
  • Mental health and wellbeing support
  • Cycle to work and tech scheme
  • Working in a company where there are no limits! If you work hard and want to achieve big things, this is the place for you
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