Junior Data Analyst / Engineer

London Borough of Camden, London, UK Full-time

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 junior data analyst / engineer to build and scale analytics throughout WeSwap as we rapidly expand in 2019. 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 2019 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
  • Trial and test new data pipeline products
  • Exploratory data analysis to identify opportunities for growth and increased revenue including investigation of retention and engagement
  • Test and evaluate statistical packages in R and Python
  • Documentation of work including the definition of metrics and recording all issues and bugs
  • Development and improvements to the data pipeline, especially automation of manual processes
  • Assist with data pipeline architecture and development which will require communicating requirements to the tech team
  • Helping to 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
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What will success look like?

  • Delivering accurate, automated reports and proactively anticipating future reporting requirements
  • Helping to develop and implement automation of any existing manual reporting

 

Experience

  • 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)
  • 25 days’ holiday plus bank holidays!
  • Child care vouchers
  • Monthly socials
  • Friday afternoon drinks in the office
  • Season ticket loan
  • Commission free currency exchange

 

Apply for this opening at http://weswap.recruiterbox.com/jobs/fk0j6wr?apply=true