Product Data Analyst

London based (1-2 days/week on site)

About us

Motorway is the UK’s fastest-growing used car marketplace – our award-winning, online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of more than 400 people across our London and Brighton offices.

About the role

We are looking for a Data Analyst to join our growing Product Analytics team.

As our new Data Analyst, you will work closely with Product managers and teams to ensure that data insights are driving business decisions. You will be responsible for improving our current processes through the application of technology across a range of Product teams to improve our customer experience.

You will also focus on conducting AB testing on our new features to ensure we have a robust test and learn approach and we continuously improve our Product offering. This is a unique opportunity to develop industry-leading technology to fulfil our mission of building the car market of tomorrow through data-driven decision making.

What you will do

• Working with Product teams to provide insights and analysis; identifying what’s working well and what’s not for customers, spotting areas for improvement and proposing new opportunities
• Data analysis and data transformations within Google BigQuery data warehouse (primarily using SQL and dbt)
• Building data visualisations and dashboards for Product stakeholders to monitor KPIs and facilitate data-driven decision making in line with their roadmaps
• Design new features to automate our processes in collaboration with Product stakeholders
• Research new technologies which enable us to automate our customer interactions and scale fast in a growing business
• Propose new ideas for Product features and variants based on analysis and assist stakeholder teams in identifying success criteria
• Use python and R to dive into test results, conduct statistical tests and understand trends using advanced analytical methods, ensuring results are robust and reproducible
• Use data, experiments and BI together to drive business improvements which optimise conversions and achieve strategic business objectives
• Working with our analytics engineers to ingest new data sources into our data stack for analytics

Requirements

• Proven background as a Data Analyst (or similar role) in a commercial environment

• Advanced SQL skills and experience querying large data sets
• Proficient in python or R to conduct Advanced Analytics
• Stakeholder management experience; You’ll have the ability to foster and maintain meaningful stakeholder relationship across the business, particularly with Product stakeholders who embrace an Agile way of working
• Experience of automating traditionally offline tasks via Product innovations a plus
• An eye for detail that produces in-depth analysis that goes beyond the initial questions of stakeholders to deliver new and actionable insight
• An understanding of the end-to-end data lifecycle from data sourcing to ETL/ELT, data warehousing, experimentation, data visualisation and sharing of results
• Mathematical and statistical knowledge to understand different statistical tests to validate experimental results, either from an academic background or through on-the-job experience
• Experience of designing and building impactful BI dashboards using Looker or Tableau that serve technical and non-technical audiences, particularly to convey the results of experiments
• Excellent communication skills: The ability to articulate complex concepts both verbally and in-writing to stakeholders and colleagues at different levels of seniority
• A self-starter mindset: Comfortable working autonomously in a fast-paced environment with the ability to work to tight deadlines and a pragmatic approach to problem solving
• The motivation to make a big impact on our business and a passion for using data to effectively support business decision-making

Benefits

• A competitive salary
• Annual learning budget – with your learning budget, you can pay for learning experiences to support your progression.
• BUPA health insurance
• Discounted dental through BUPA
• Discounted gym membership through BUPA
• OnHand volunteering membership and one paid volunteering day per year
• Hybrid working from home (approximately 1-2 days in the office a week)
• Pension scheme
• Motorway car leasing scheme – lease a zero-emissions electric vehicle at a significant discount
• Enhanced parental leave – We offer enhanced maternity pay (26 weeks of full pay) and enhanced paternity pay (4 weeks of full pay) to eligible employees.
• Workplace nursery scheme
• Top spec MacBook Pro and peripherals
• Regular social events
• Cycle to work scheme

Equal opportunities statement

We are committed to equality of opportunity for all employees. We work to provide a supportive and inclusive environment where people can maximise their full potential. We believe our workforce should reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

We welcome applications from all individuals regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.