Senior Data Anlyst

Job Title

Location: Manchester

Rentalcars.com is part of the third largest e-commerce company in the world (Amazon and Alibaba are bigger) and we are the world’s largest car hire booking service, arranging over 8 million rentals a year in 49,000 locations in 167 countries across 40 languages.  Our mission is “Helping people experience the world” and our business and market sector is growing rapidly.

Engineering is a multi-skilled group of over 150 people responsible for providing the technology to enable the Rentalcars.com business.  It is a fast paced, dynamic, exciting and driven environment providing services on a 24x7 basis.  We provide all the touch points for our online customer experience through a market leading app, a great web site and all the software services and business systems to manage our customers and products.   Our goal is to create a great customer experience across all platforms which help us deliver growth for our business. 

We have a great journey ahead and our vision is to radically change the working practices to realise our ambition of being a “World Class” engineering function and the “Technology Employer of Choice” in the Northwest and beyond.  Make no mistake we have a challenging journey ahead but we are committed to delivering a great customer experience across web, mobile, call centre and partner channels and this is where you could fit in.

Where we are going

  • Cross functional agile teams who own their products in a Continuous Delivery DevOps environment
  • Revolutionise our online customer experience through a great web site and mobile app
  • Data driven decisions using Kibana, Hadoop, monitoring, Big Data, MI and MVT testing
  • Continuous improvement, keeping it simple and developing the team
  • Great engineering practices with a focus on TDD and BDD principles and a strong focus on non-functional requirements at the beginning rather than an afterthought
  • Decoupled service orientated architecture with resilience and adaptability built in

What we offer in return

  • Ownership of your work and a great technical challenge
  • A great new office to work in the heart of Manchester
  • Great facilities including subsidised canteen and Starbucks, free breakfast & fruit and cycle hub
  • An exciting and dynamic place to work
  • 25 days paid holiday plus bank holidays
  • Great discounts on car rentals and other group benefits
  • Opportunity to shape the future of the team
  • Software development kit that works

Role Description

You will work across the Data & Reporting and Data Sciences product teams, with responsibility for analysing, validating and reporting on the data that is used in our data warehouse & Hadoop platforms to help us improve our reporting & analytics through increased data quality and understanding of our data. Additionally, you’ll work closely with our Data Scientists, identifying the data from our various source systems based on the problem statement, helping them get a quality data set that could be used for modelling through advanced analytics.

Skills and experience that we are looking for

  • Strong experience working on large data sets especially in technologies such as Hadoop
  • Strong Excel and SQL skills
  • Strong data analytical skills
  • Excellent problem-solving skills
  • Excellent communication skills
  • Working knowledge of BI tools such as Power BI and Tableau would be a plus
  • Working knowledge of Spark, Hadoop, Python, R would be a strong plus
  • Experience with statistical and Machine Learning modelling techniques would be a strong plus
  • Strong organisational & time management skills
  • Previous experience in analytical roles in a commercial environment
  • Ability to talk the language of Data Science

Key Accountabilities

  • Work within a multi-disciplinary dev-ops team including developers, business analysts & test engineers, to improve the value the teams deliver through increased understanding of the data, predictive modelling, early identification of data quality issues, reconciliation of data across systems, and analysis of live data vs previous forecasts.
  • Execute quantitative analysis from multiple data sources to develop hypotheses and challenge assumptions that underpin the strategic direction of the team
  • Develop frameworks for assessing and reporting on data quality
  • Work effectively with diverse stakeholders across multiple departments within the business, including developers and architects
  • Able to defend analytical approach & explain benefits & drawbacks regardless of audience

Key Attributes

  • Analytical in approach, determined and passionate about delivering an impact on the business
  • A real team player
  • Commitment to personal and professional development, seeks and acts on feedback
  • Desire to understand how business processes and systems work, not afraid to get into the detail
  • Able to communicate effectively to all levels within the business – verbally and written, formally and informally
  • Robust & resilient, a completer/finisher with an attention to detail
  • Plans and prioritises effectively, while also demonstrating comfort with ambiguity and pragmatism when plans change
  • Sense of ownership of the understanding & quality of the data that the team rely upon
  • Have fun