Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Bridge business needs and tech delivery, focusing on data analytics and cloud warehousing.
- Company: Join a dynamic digital team in Birmingham making a real impact.
- Benefits: Competitive salary, career growth opportunities, and a collaborative work environment.
- Why this job: Play a key role in developing innovative data solutions that drive business success.
- Qualifications: 2+ years in data projects, strong SQL and Python skills, and excellent communication.
- Other info: Flexible working with just one day in the office per week.
The predicted salary is between 40000 - 46000 £ per year.
We are seeking an experienced Product Owner - Data to join our Digital team in Birmingham. You will bridge the gap between business needs and technical delivery, leveraging your expertise in data analytics, cloud warehousing, and cross-functional collaboration. You will play a critical role in developing our Snowflake environment, ensuring accurate and timely data is delivered to support business objectives.
Key Responsibilities:
- Gather, document, and evaluate business requirements from stakeholders
- Translate business needs into functional specifications, ERDs, and user stories
- Act as a liaison between business and technical teams
- Perform data discovery, modelling, and process optimisation
- Conduct gap analysis and propose solutions
- Support testing and validation of solutions (including UAT)
- Create mock reports, dashboards, and visualisations to communicate insights
- Prepare detailed documentation covering requirements, processes, and solutions
Required Skills & Experience:
- 2+ years' experience in technical/data projects
- Strong data analysis skills and ability to interpret complex information
- Proficiency in SQL, Python, and workflow/requirement tools - DevOps
- Understanding of business operations, financial modelling, and process mapping
- Excellent communication, facilitation, and stakeholder engagement skills
- Prior experience with Snowflake preferred
- Background in Business, Information Systems, Data Analytics, or related field
Competencies:
- Strong data warehousing knowledge
- Business acumen with understanding of strategic data drivers
- Analytical and critical-thinking mindset
- Ability to manage multiple priorities and collaborate across teams
Why Join?
- £50,000-£55,000 per annum DOE
- Be part of a team that makes a real impact on people's lives
- Opportunities for career growth and professional development
If you are a proactive, analytical professional with a passion for translating data into meaningful business solutions, we want to hear from you!
Product Owner - Data in Birmingham employer: Macildowie Recruitment and Retention
Contact Detail:
Macildowie Recruitment and Retention Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Owner - Data in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Product Owner role.
✨Tip Number 2
Prepare for those interviews by practising common questions related to data analytics and product ownership. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience with SQL, Python, and Snowflake.
✨Tip Number 3
Showcase your skills through a portfolio! Create a few case studies or projects that highlight your data analysis and problem-solving abilities. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s super important to include your home postcode on your CV so we can match you with the right opportunities. Plus, it helps us ensure your application gets the attention it deserves!
We think you need these skills to ace Product Owner - Data in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Product Owner - Data role. Highlight your experience with data analytics, SQL, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Communication Skills: As a Product Owner, you'll need to bridge gaps between teams. Use your application to demonstrate your excellent communication and stakeholder engagement skills. Share examples of how you've successfully collaborated in the past!
Include Your Postcode: Don't forget to add your home postcode on your CV! This helps us ensure your application gets to the right consultant for the Birmingham area. It's a small detail that makes a big difference.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It streamlines the process and ensures your application is reviewed properly. Let's get your journey started!
How to prepare for a job interview at Macildowie Recruitment and Retention
✨Know Your Data Inside Out
As a Product Owner - Data, you need to be well-versed in data analytics and cloud warehousing. Brush up on your SQL and Python skills, and be ready to discuss how you've used these tools in past projects. Prepare examples of how you've translated business needs into functional specifications.
✨Master the Art of Communication
Since you'll be acting as a liaison between business and technical teams, strong communication skills are essential. Practice explaining complex data concepts in simple terms. Think about how you can demonstrate your stakeholder engagement experience during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific instances where you've performed gap analysis or proposed solutions in previous roles. Highlight your analytical mindset and how it has helped optimise processes or improve data delivery in your past projects.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world situations. Think through potential scenarios related to data discovery, modelling, or UAT testing. Practising your responses will help you feel more confident and articulate during the interview.