At a Glance
- Tasks: Lead and shape data products, driving strategy and delivery for impactful analytics.
- Company: Dynamic Birmingham-based company with a focus on innovation and growth.
- Benefits: Competitive salary, bonus potential, excellent benefits, and hybrid working options.
- Other info: Join a collaborative environment with opportunities to define best practices.
- Why this job: Be the first dedicated Product Owner and make a real impact in a growing team.
- Qualifications: Experience in product management and data analytics, with strong strategic skills.
The predicted salary is between 65000 - 65000 £ per year.
Salary: £65,000 - £65,000 per year
Requirements
- Proven experience as a Product Owner or Product Manager with the ability to link product delivery to business value
- Strong understanding of modern product discovery and delivery practices
- Experience in Data Analytics and managing data-related products
- Good understanding of BI or analytics tools
Responsibilities
- Own and advance all data products within our growing data team
- Define and execute the product strategy across data products, analytics, and insight tooling
- Define and own the data product vision, strategy, and roadmap
- Identify and scope data and analytics products that address business needs
- Translate complex operational requirements into clearly defined product outcomes
- Own and maintain the data product backlog, ensuring stories are well defined
- Drive end-to-end delivery of data products, including data pipelines, datasets, dashboards, and self-service analytics tools
We are a business in Birmingham offering a permanent Data Product Owner opportunity within our growing Data team. This is a newly created role and the first dedicated Product Owner in our Product team, giving you the chance to help shape what good looks like from the ground up. We offer a salary of up to £60,000, a company bonus of up to 10%, excellent benefits, and hybrid working. This is a business-facing role with a requirement to be in the office at least two days a week.
Data Product Owner in Birmingham employer: Sivara GmbH
Join our dynamic team in Birmingham as a Data Product Owner, where you will play a pivotal role in shaping our data products from the ground up. We pride ourselves on fostering a collaborative work culture that values innovation and employee growth, offering excellent benefits, a competitive salary, and the flexibility of hybrid working. This is an exciting opportunity to make a meaningful impact while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner in Birmingham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sivara GmbH!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product Owner at Sivara GmbH.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Owner at Sivara GmbH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Product Owner in Birmingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sivara GmbH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sivara GmbH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sivara GmbH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sivara GmbH!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
