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Data Analyst in London

Flit Technologies

Workplace
Onsite
Hours
Full-Time
Internship
No
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Job Description

At Karhoo, we are creating the largest and most transparent marketplace for ground transportation: the Karhoo Mobility Exchange.

By aggregating ground transport around the world, with regulated/licensed taxi and PHV fleets, we will give greater choice to consumers and corporates alike, bring new opportunities and data for the private and public sector, and help to enable ‘smart cities’ for citizens everywhere.

Karhoo, the first fully-integrated global, neutral, booking platform for regulated Taxis and PHVs was bought out of administration in January 2017, funded by RCI Bank and Services, the financial services provider for the Groupe Renault brands in the world and for the Nissan Group brands mainly in Europe.

Data Analyst

As a marketplace for mobility services, Karhoo aggregates data from hundreds of fleets and demand channels, across a multitude of software systems that vary greatly in data quality and data type. The challenge for the data team is to enhance and compensate for the capabilities of legacy dispatch systems, model and predict supply and demand in the marketplace, and to create data insights to understand the quality, health and performance of the exchange, software integrations, fleet performance and Business, Finance and Operations.

Karhoo is looking for a motivated, intellectually curious Data Analyst to join our aggressively growing company, to manipulate data to provide powerful and easily interpretable analytics-based reports and interactive dashboards to all levels of the business, to drive informed business decisions.

Responsibilities

Core Duties will include:

  • Design, maintain and automate data reports with actionable insights to stakeholders internally and externally

  • Continuously strive to ensure analysis and reporting provides clear actionable insights, which effectively communicate information and drive informed decisions

  • Be responsible and work with other stakeholders to help improve the reporting framework and tooling

  • Support different stakeholders in interpreting data and analysing results

  • Identify different data sources, extract, transform and manipulate data, and ensure database data structures evolve to keep pace with the requirements

Experience/Competence


Essential Skills:


  • 3+ years experience in a previous Data Analyst role
  • Excellent data manipulation and analytical skills

  • Strong experience writing SQL queries to join, filter and analyse data

  • Experience of Business Intelligence tools, e.g. Metabase, Looker, Data Studio, etc

  • Data curiosity to understand problems and surface interesting facts

  • Attention to detail; to quality check own work and assess source data quality

  • Clear & confident technical communication

  • Ability to thrive in a fast-paced, collaborative, agile environment

  • An advanced degree or equivalent in statistics, mathematics, economics, engineering or an applied science

 

Desirable Skills:

  • Demonstrable programming experience in Python or R

  • Experience working with a Data Warehouse (e.g. Google BigQuery)

  • Experience of Agile, preferably using Jira

  • Familiar with software tools including Google G Suite

  • Experience of geospatial data analysis tools or packages

 

Personal Qualities:

  • Demonstrable ability to self-manage and be organised with a strong work ethic

  • Good technical communication skills & excellent attention to detail

  • Excellent analytical skills and team working abilities

  • Strong commercial awareness, with an understanding of business priorities

  • Proactive, self-starter, who is able to manage time effectively and complete tasks within agreed timeframes

  • Highly adaptable and capable of working in a high pressure environment

Company Benefits

  • WeWork office space and perks (free beer on tap!)

  • Private medical and travel insurance

  • Dental insurance

  • Life assurance - £150,000 per life

  • Full time employee shares


 
  • Logistics

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