Product Data Analyst (Experimentation)
Motorway, United Kingdom

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

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.

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

In this role, you will work closely with Product managers and teams to ensure that data insights are driving business decisions. You will be responsible for managing a series of experiments across a range of Product teams and developing a standardised readout of results to implement with stakeholders.

You will also focus on establishing a culture of automated AB testing that will scale as our company continues to grow.

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'll do

• Work 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
• Work with our analytics engineers to ingest new data sources into our data stack for analytics
• Build data visualisations and dashboards for Product stakeholders to monitor KPIs and facilitate data-driven decision making in line with their roadmaps
• Propose new ideas for Product experiments based on analysis and assist stakeholder teams in identifying success criteria
• Design, setup and conduct experiments in collaboration with Product stakeholders, working with other Analytics teams in the business to ensure results are robust and reproducible
• Dive into test results, conduct statistical tests and understand trends using advanced analytical methods
• Standardise our approach to testing to allow us to scale fast in a growing business

Requirements

We encourage you to apply, even if you might not meet all the requirements.

• Strong and proven background as a Data Analyst (or similar role) in a Product environment
• Advanced SQL skills and experience querying large data sets, experience with GoogleBigQuery and dbt a plus
• 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, particuarly with Product stakeholders who embrace an Agile way of working
• Experience of working with experimental design and results, and using this data to report on business performance and drive product improvements (experience with Snowplow or experimentation vendors such as Optimizely or ABTasty 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 to drive value for the business
• An understanding of the end-to-end data lifecycle from data sourcing to ETL/ELT, data warehousing, experimentation, data visualisation and sharing of results, using tools such as GitHub for version control of SQL code
• 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
• 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 y

Job Rewards and Benefits