Job Description - Audience & Product Data Analyst (15635)
We have a brilliant opportunity for an Audience & Product Data Analyst to join our Customer Data team on a permanent contract, based in Luton. (Hybrid Working)
This exciting role will be responsible for creating the audiences, segmentations and customer attributes required for marketing, reporting, customer engagement across operations and service, web and app personalisation and media planning.
The Customer Data team is responsible for enabling the business with the customer data and insight it needs, when it needs it. The team has access to lots of customer data from the many millions of customers who have flown with us and continue to fly with us every year, plus the millions who now enjoy their package holidays we offer through easyJet holidays.
Reporting into the Data Product Manager, you’ll utilise your analytical expertise to create solutions in both Databricks and our CDP (mParticle). This could be creating audiences, or using in-built CDP capabilities to build predictive models, or enabling triggered marketing campaigns reaching millions of customers.
What you’ll be doing
Creating data solutions (such as views, segmentations, profiles) in Databricks to enable targeted marketing, operational communications, and detailed customer reporting and analytics. Creating real-time customer data products and audiences in mParticle to enable triggered and ad-hoc marketing, targeted customer engagement, real-time web and app personalisation, and media planning. Providing customer analytics and insight to business stakeholders, and supporting insight teams with data products they need to create reports and dashboards through tools like Tableau and Thoughtspot. Working closely with data engineering and data product teams to identify and resolve any data/technical issues. Delivering all your work in an agile manner, enabling the business to meet its challenges and priorities and being ruthless on building solutions that are repeatable and not throw away. Requirements of the Role
What you'll bring to the team
Significant experience working in a direct to consumer business. A good knowledge of e-commerce and customer experience (CX) is essential. Strong SQL and/or Python skills with a proven ability to analyse and develop customer data from very large data sets. Experience of using Databricks, and knowledge of medallion architecture and how to build and deploy data products for business use in downstream platforms. Previous experience manipulating data, creating audiences, and activating data through a Customer Data Platform (CDP), preferably mParticle or similar solution. Previous experience working with JIRA/Confluence to manage and centralise documentation. Inquisitive and able to learn on the job. Able to work to an agile methodology, and adapt to changing priorities and to thrive in a fast-paced work environment. What we offer in return
Up to 20% bonus. 25 days holiday. BAYE, SAYE & Performance share schemes. Private Medical Cover. Life Assurance. Flexible benefits package. Excellent staff travel benefits.
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Creating data solutions (such as views, segmentations, profiles) in Databricks to enable targeted marketing, operational communications, and detailed customer reporting and analytics. Creating real-time customer data products and audiences in mParticle to enable triggered and ad-hoc marketing, targeted customer engagement, real-time web and app personalisation, and media planning. Providing customer analytics and insight to business stakeholders, and supporting insight teams with data products they need to create reports and dashboards through tools like Tableau and Thoughtspot. Working closely with data engineering and data product teams to identify and resolve any data/technical issues. Delivering all your work in an agile manner, enabling the business to meet its challenges and priorities and being ruthless on building solutions that are repeatable and not throw away. Requirements of the Role
What you'll bring to the team
Significant experience working in a direct to consumer business. A good knowledge of e-commerce and customer experience (CX) is essential. Strong SQL and/or Python skills with a proven ability to analyse and develop customer data from very large data sets. Experience of using Databricks, and knowledge of medallion architecture and how to build and deploy data products for business use in downstream platforms. Previous experience manipulating data, creating audiences, and activating data through a Customer Data Platform (CDP), preferably mParticle or similar solution. Previous experience working with JIRA/Confluence to manage and centralise documentation. Inquisitive and able to learn on the job. Able to work to an agile methodology, and adapt to changing priorities and to thrive in a fast-paced work environment. What we offer in return
Up to 20% bonus. 25 days holiday. BAYE, SAYE & Performance share schemes. Private Medical Cover. Life Assurance. Flexible benefits package. Excellent staff travel benefits.
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