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- Tasks: Lead the development of data products and ensure quality and accessibility.
- Company: Join Motability Operations, a leader in innovative data solutions.
- Benefits: Enjoy flexible working options and a supportive team culture.
- Why this job: Be part of a dynamic Agile team making a real impact with data.
- Qualifications: Experience in product ownership and a passion for data analytics required.
- Other info: Opportunity to work on cutting-edge technology and drive meaningful change.
The predicted salary is between 36000 - 60000 £ per year.
Motability Operations is seeking an experienced Product Owner to become an integral part of our Agile development team. In this role, you'll drive the evolution and implementation of data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower.
Product Owner- Data & Analytics employer: Motability Operations
Contact Detail:
Motability Operations Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Owner- Data & Analytics
✨Tip Number 1
Familiarise yourself with Agile methodologies, as this role is part of an Agile development team. Understanding the principles and practices of Agile will help you communicate effectively with your future colleagues and demonstrate your readiness to contribute.
✨Tip Number 2
Showcase your experience with data products in your conversations. Be prepared to discuss specific projects where you've driven the evolution of data products, focusing on how you ensured high-quality and accessible data for analytics and machine learning.
✨Tip Number 3
Network with professionals in the data and analytics field. Attend relevant meetups or webinars to connect with others who work in similar roles. This can provide insights into industry trends and may even lead to referrals.
✨Tip Number 4
Prepare to discuss cross-functional collaboration. Think of examples where you've worked with different teams to create data products. Highlight your ability to bridge gaps between technical and non-technical stakeholders, which is crucial for a Product Owner.
We think you need these skills to ace Product Owner- Data & Analytics
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and expectations of a Product Owner in Data & Analytics. Highlight your relevant experience in driving data products and working within Agile teams.
Tailor Your CV: Customise your CV to reflect your experience with data products, analytics, and machine learning. Use specific examples that demonstrate your ability to deliver high-quality data solutions and your cross-functional collaboration skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and analytics. Explain how your background aligns with the company's goals and how you can contribute to creating accessible and trusted data products.
Highlight Relevant Skills: In your application, emphasise key skills such as Agile methodologies, data product management, and analytical thinking. Mention any tools or technologies you are proficient in that are relevant to the role.
How to prepare for a job interview at Motability Operations
✨Understand Agile Methodologies
As a Product Owner, you'll be working within an Agile framework. Make sure you can discuss your experience with Agile practices and how you've successfully implemented them in past projects.
✨Showcase Your Data Expertise
Be prepared to talk about your experience with data products and analytics. Highlight specific examples where your work has led to improved data accessibility or quality, as this will resonate well with the interviewers.
✨Cross-Functional Collaboration
Since the role involves working cross-functionally, think of examples where you've successfully collaborated with different teams. Emphasise your communication skills and how you ensure alignment across various stakeholders.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Practice articulating how you would handle challenges related to data product development, ensuring you demonstrate a strategic mindset.
