Customer Data Analyst

Description Motability Operations are currently recruiting for a Data Analyst to join our team in Bristol, Edinburgh or London on a full-time, permanent basis. What you'll be doing The Data Analyst role is responsible for using Data Analysis and modelling techniques to address critical questions for both the business and our customers.

This includes understanding the challenges our customers face with regards to electric vehicle (EV) adoption, understanding how rising costs will impact customers' affordability thresholds and identifying key data points that indicate potential misuse of the Scheme.

These are some of the primary issues that this role will help resolve. The role sits within the Data Science and Analytics team within Customer Insight and Analytics and will be primarily focused on using data to generate customer insights to help the business solve key issues.

The postholder will collaborate with key stakeholders within the business to enforce key Data Governance policies on quality, metadata management and data lineage. On a day-to-day basis, the postholder will be tasked with using their technical skills to help the team deliver key pieces of analyses relating to understanding customer behaviour.

They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Perform Data Steward responsibilities including managing and monitoring customer data quality, measuring accuracy, maintaining definitions and ensuring compliance.

Will act as the key bridge between technical and business areas on customer data issues. Provide deep statistical analysis and actionable insights to help the business understand, anticipate, and respond to evolving customer needs, enabling evidence-based decision-making on key customer issues.

Design, develop and maintain insightful Power BI dashboards and reports that transform complex data into compelling narratives, enabling stakeholders to understand customer behaviour and spot emerging trends. Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse customer data.

Act as a trusted advocate for customer data and analytics, educating stakeholders on analytical methodologies and best practices to build trust and confidence in the insights and recommendations produced. Supporting the team in meeting ad hoc requests for customer insights from the rest of the business.

Qualifications The ideal person will have: Strong experience in collecting, analyzing and interpreting complex data and applying data visualization techniques using tools such as Power BI. Demonstrates strong attention to detail when wor...

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