What if.. you could join an organisation that analyzes connected and electric vehicle data to create real-time insights to enable a variety of industries to innovate, drive growth, transform communities, save lives and improve the world we live in?

As a Data Analytics Engineer at Wejo you will be working with Big Data, with over 13.8 million cars globally we collect data for more than 92 billion journeys every day! A core part of your role will be to discover new techniques for drawing meaningful insights from connected car data for real-life applications.

WHAT YOU'LL BE DOING AS A DATA ANALYTICS ENGINEER

At Wejo, we’re turning that data into insights & intelligence products. As a Data Analytics Engineer you will be:

• Review new external data sets and open data sources to understand potential usage.
• Take business requirements and build into queries and pipelines.
• Ad-hoc analysis of CVD – volume in areas, behaviour of sensors etc.
• Build and maintain visual reports for self-serve across multiple platforms including Databricks.
• Perform research into techniques for extracting valuable insights from connected car data.
• Evaluate usefulness of data sources and analyses for increasing understanding of Wejo data holdings.
• Socialise learnings from research and assist other members of the Data Function to incorporate candidate technologies.
• Propose new data structures and methodologies for manipulation of connected car data.
• Participate in establishing and implementing processes and best practices around development standards, version control, quality control, deployment, maintenance, and change management.

We know that working together and listening to each other is what makes us strong, so in this role we want to hear your ideas of new data structures and new methodologies we can implement to further improve the way we derive value from our connected car data.

WHAT YOU'LL NEED AS A DATA ANALYTICS ENGINEER

• 3+ years working in the Data Analytics field, preferably with Big Data.
• Experience working with Big Data Analytics platforms using tools such as Spark, SQL, Python and Scala or related tech.
• Experience of building data pipelines for own and others' analytics use cases.
• Strong analytical skills with the ability to disseminate significant amounts of information with attention to detail and accuracy.
• Ability to analyse large, complex, multi-dimensional datasets using SQL, R and / or python.
• Strong knowledge of and experience with reporting packages/visualization tools.
• Experience of storytelling with data.
• Experience of working with Tableau/Power BI.

We know our tech stack is unique, and as we always like to say it's all about the journey. You don't need you to be an expert in all of these right now, but to have a combination of them and along with the right attitude we will help get you there by upskill and cross training you into the new and emerging technologies that we use.

Nice to have

• Experience working with an Agile environment.
• Experience working with geospatial data (GIS) and understanding of appropriate analytical tools and techniques.
• Experience managing data ingestion and processing operations.

ABOUT US

Wejo is a global leader in the connected car market and is shaping the future of mobility. The connected car space is one of the fastest growing sectors in the IoT industry. Car manufacturers are looking to extend traditional infotainment systems, insurers are seeking a better understanding of risk, users are demanding more feedback and firms are generating increasing amounts of data and require support in understanding its applications and value. We specialise in creating new services and products to help clients make the most of their data and realise its value.

We bring together the brightest minds and industry experts with award-winning platform technology and advanced privacy and security to revolutionise the way we live, work and travel using connected car data, insights and analytics.

Department

Technology

Locations

United Kingdom - Remote

Remote status

Fully Remote

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