Data Analyst

London, England, United Kingdom | Full-time

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WeSwap is the people’s currency exchange! We offer a peer-to-peer travel money platform (iOS, Android and web) enabling travellers to swap currencies directly with each other – avoiding banks and corporates allowing us to offer the best rates on travel money. We want our customers to ‘stress less and travel happy’ hence our mission is to help travellers everywhere swap and manage their currency in the cheapest, fairest, and most transparent way possible. We currently have over 400,000 users and have swapped over £150 million since the start of our journey. If you are looking for the rare opportunity to be part of an exciting fast paced, high growth, tech company then read on!

 

The Candidate

We are looking for a data analyst to build and scale analytics throughout WeSwap as we rapidly expand in 2020. You will help deliver the second phase of a data pipeline project, trial and implement new business intelligence products, and create incisive, well-designed and accurate analyses. You will be meticulous, embrace TDD and ensure your results are always correct and reproducible.

You will love full stack data pipelines and be enthusiastic about turning your hand to anything: data engineering, visualisation, analysis and, of course, cleansing. We work with an AWS stack (Athena, Glue, Lambda, Quicksight) and Tableau but enthusiasm and potential are more important than technology-specific skills. The ability to create and productionise data pipelines and analyses is more important than formal qualifications.

Most of all, you will love working in a highly innovative, rapid iteration environment, and be able to communicate and diplomatically challenge colleagues at all levels. Data is essential to the ambitious growth of WeSwap in 2020 and this fast-paced role will give the candidate exposure to all areas of the business.

 

Responsibilities

  • Design and build data visualisations using business intelligence tools
  • Ad hoc reporting and analysis using SQL as required by colleagues
  • Prepare and communicate reports for senior leadership and month-end processes
  • Gathering requirements for new reports and analyses
  • Helping to define and report on key metrics
  • Define data requirements and measures of success for new products and markets
  • Reconciliations and audit of existing data
  • Record a backlog of requests and tasks and prioritise with the data lead
  • Identifying, analysing, and interpreting trends or patterns in complex data sets
  • Working with our Engineering team to develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Working across all departments to ensure that requirements are understood, and suitable methodologies are chosen to complete delivery of projects and tasks
  • Maintaining and developing your own knowledge about technology, systems and approaches to data manipulation

 

What success will look like…

  • You will be WeSwap’s go to person for anything relating to data
  • You will bring transparency to WeSwap’s data therefore creating efficiencies and new opportunities

 

Qualifications & Skills

  • Degree, ideally with a mathematical background (Computer Science, Statistics, Mathematics etc), including experience with descriptive and inferential statistics, but online courses from reputable providers or public analyses and projects on sites like Github or Kaggle are also okay
  • 1-2 years’ experience in an analytical role
  • SQL, scripting (Python, R, Javascript etc), bash, AWS (Athena, Glue, Lambda) data pipelines or equivalent (Hadoop, Scala, Kafka, Hive etc)
  • Data visualisation/Business Intelligence tools (Tableau, Sisense, Qlik, Looker, Jupyter, RShiny or similar)
  • Understanding of key start-up metrics and analysis techniques (cohort retention, churn, DAU/MAU, customer lifetime value etc.)
  • Some exposure to machine learning and statistical packages in python and/or R (or any other statistical analysis tool)
  • Good communication skills and understanding of importance of delivering results in a product-focussed company
  • Ability to manage and prioritise a busy workload

 

Above all, we want someone who…

  • Is comfortable communicating with stakeholders at all levels
  • Is extremely organised and detail oriented
  • Has a knack for problem solving
  • Is proactive, not reactive
  • Is adaptable to fast changing environment, flexibility is key
  • Can work off their own initiative, and challenge when appropriate

Benefits

  • Ride to work scheme
  • Life assurance (4x salary per life)
  • 25 days’ holiday plus bank holidays!
  • Child care vouchers
  • Monthly socials
  • Friday afternoon drinks in the office
  • Commission free currency exchange

 

Location

London – Kentish Town

Interested? We’d love to hear from you