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- Tasks: Transform data into insights to optimise pricing strategies and decision-making.
- Company: Join Motability Operations, the UK's largest car fleet operator with a strong customer focus.
- Benefits: Enjoy competitive pay, generous leave, private medical cover, and flexible working options.
- Why this job: Make a real impact in a fast-paced environment while growing your analytical skills.
- Qualifications: Numerate degree, strong communication skills, and experience with SQL and Python.
- Other info: Inclusive workplace with excellent career development opportunities and a culture of trust.
The predicted salary is between 28800 - 48000 £ per year.
As a Data Analyst you can make a powerful contribution, expanding our analytical capacity to transform and optimise our pricing strategies and residual value risk management whilst we navigate through a fast-moving and quickly evolving marketplace.
Reporting into the Analytics Lead, you will use a wide range of technologies and data science techniques to create valuable insights which will improve our decision-making and processes that will serve our customers and ensure the scheme’s sustainability.
The company has invested significantly in its data strategy, and for the right person this is an exciting opportunity to help grow and establish a new Analytics function. Alongside this, we have reached the end of a large-scale project upgrading our systems and analytical tools - you will play a pivotal role in leveraging these systems to create insight and data-driven decisions, providing a platform for your personal growth and career development.
Your key responsibilities will include:
- Translating business problems into requirements, projects, and solutions
- Leveraging advanced analytics to optimise business processes and decision making
- Executing the delivery of insights via reports and data visualisation
- Proactively providing data-driven recommendations to the business for key decisions
- Business partnering and clearly articulating findings in a compelling way to key stakeholders
You should have:
- An analytical mindset, you enjoy figuring out how and why things work
- Keen critical thinking skills and creativity look at problems from a unique perspective
- A strong interest in data and analytics with a passion for learning and self-development
- Commercial awareness and a keen interest in how the business operates
Core requirements:
- Numerate degree which demonstrates strong mathematical and modelling/statistical skills
- Strong written and verbal communication skills
- Intermediate SQL and Python skills, with Advanced Excel skills
- Experience of model building, data visualisation, and/or process automation
Desirable: experience using Oracle tools (OBIEE/OAS), Tableau and/or Snowflake
At Motability Operations Ltd we provide a unique mobility proposition for the specific needs of people with disabilities by leasing cars, scooters, and powered wheelchairs to those in receipt of Disability Living Allowance and Personal Independence Payment. We are the largest car fleet operator in the UK (purchasing c. 10% of all the new cars sold in the UK) and have over 700,000 customers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10.
Our values are at the heart of everything we do, and our people demonstrate these values: We find solutions, we drive change, and we care.
As a Motability Operations team member, the benefits you can expect are:
- Competitive reward package including an annual discretionary bonus
- 15% non-contributory pension (9% non-contributory pension during probation period)
- 28 days annual leave with option to purchase and sell days, in addition to bank holidays
- Funded Private Medical Insurance cover
- Electric/Hybrid Car Salary Sacrifice Scheme and Cycle to Work Scheme
- Life assurance at 4 times your basic salary
- Employee Discount Scheme with an app to save on the go
- Free access to healthcare apps, such as: Peppy, Unmind, Aviva Digital GP and volunteering app On Hand
- Generous family leave policies
- Funded health screening for over 50s
- Voluntary benefits: charitable giving, critical illness insurance, dental insurance, health and cancer screenings for you and your partner, discounted gym memberships and season ticket loans
We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility.
Please note, Motability Operations reserves the right to bring forward the closing date of any of its job vacancies if we receive a suitable number of quality applications from which to make a shortlist. Therefore, we recommend that you apply as soon as possible rather than wait until the published closing date.
Data Analyst in London employer: Motability Operations
Contact Detail:
Motability Operations Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Get comfortable with explaining your thought process and how you approach problem-solving. Remember, it’s all about showcasing your analytical mindset!
✨Tip Number 3
Show off your skills! Create a portfolio of projects that highlight your SQL, Python, and data visualisation abilities. This will give you an edge and demonstrate your passion for data and analytics.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your analytical skills and experience with data visualisation. We want to see how you can translate business problems into actionable insights, so don’t hold back!
Show Off Your Skills: Don’t forget to mention your SQL, Python, and Excel skills! We’re looking for someone who can leverage these technologies effectively, so give us examples of how you've used them in past projects.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to articulate your findings and recommendations, as this will show us your strong communication skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Motability Operations
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in data visualisation and model building. This will show that you're not just familiar with the tech but can leverage it effectively.
✨Translate Business Problems
Prepare examples of how you've translated complex business problems into actionable insights. Think about specific scenarios where your analytical mindset helped optimise processes or decision-making. This will demonstrate your ability to connect data analysis with real-world business needs.
✨Communicate Clearly
Practice articulating your findings in a clear and compelling way. You might be asked to explain technical concepts to non-technical stakeholders, so being able to communicate effectively is key. Use simple language and focus on the impact of your insights.
✨Show Your Passion for Learning
Express your enthusiasm for data and analytics during the interview. Share any recent courses, certifications, or personal projects you've undertaken to improve your skills. This will highlight your commitment to self-development and staying current in a fast-evolving field.
