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About Motability Operations Ltd
Motability Operations Ltd is a leading provider of mobility solutions for individuals with disabilities. As the largest car fleet operator in the UK, we serve over 700,000 customers by leasing vehicles and mobility aids, always prioritizing exceptional customer service.
Data Analyst Role Overview
We are seeking a talented Data Analyst to join our growing Analytics team. In this role, you will play a crucial part in enhancing our analytical capabilities to optimize pricing strategies and effectively manage residual value risks within a dynamic market. Working closely with the Analytics Lead, you will leverage your expertise in data science techniques and technologies to generate valuable insights that drive informed decision-making and elevate customer service.
This is an exciting opportunity to contribute to the development of our new Analytics function within a company committed to its data strategy. You will be instrumental in utilizing advanced systems and analytical tools to facilitate data-driven decisions and foster your professional growth.
Responsibilities:
- Translate complex business challenges into actionable projects and solutions.
- Apply advanced analytics techniques to optimize key business processes.
- Deliver compelling insights through comprehensive reports and impactful data visualizations.
- Provide data-driven recommendations to support strategic decision-making.
- Collaborate effectively with stakeholders to communicate findings clearly and concisely.
Desired Skills:
- A strong analytical mindset with a passion for problem-solving.
- Exceptional critical thinking abilities and creative problem-solving skills.
- Genuine interest in data and analytics, coupled with a commitment to continuous learning.
- Commercial acumen and understanding of business operations.
- Numerate degree with a solid foundation in mathematics and statistics.
- Proficiency in SQL, Python, Excel, model building, and data visualization.
- Experience with Oracle tools, Tableau, and Snowflake is highly advantageous.
