At a Glance
- Tasks: Lead the development of Digital Shelf Analytics and drive actionable insights for online performance.
- Company: 83zero, a forward-thinking company in global retail and eCommerce.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a vibrant team focused on innovation and commercial success.
- Why this job: Make a real impact in a dynamic environment and shape the future of eCommerce.
- Qualifications: Experience in product ownership and strong collaboration skills.
The predicted salary is between 59400 - 72600 £ per year.
83zero is seeking an experienced DSA Product Owner to lead the development and optimisation of a Digital Shelf Analytics capability within a large-scale, global retail and eCommerce environment. You will bridge business stakeholders and technology teams, driving the evolution of DSA platforms to deliver actionable insights that boost online performance and commercial growth.
In this role you will own the DSA landscape, collaborate across commercial, eCommerce and digital teams to shape the future of digital shelf analytics.
DSA Product Owner: Lead Digital Shelf Analytics employer: 83zero
As a Senior Salesforce Developer with us, you'll thrive in a dynamic and inclusive work culture that prioritises innovation and professional growth. Our commitment to employee development is reflected in our comprehensive benefits package, which includes competitive salaries, healthcare, and ongoing training resources, all while working with cutting-edge Salesforce technologies in a hybrid environment across the UK. Join us to make a meaningful impact in a highly regulated sector, where your expertise will drive digital transformation and shape the future of our solutions.
StudySmarter Expert Advice🤫
We think this is how you could land DSA Product Owner: Lead Digital Shelf Analytics
✨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 83zero!
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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 83zero.
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When you find a suitable opening like DSA Product Owner: Lead Digital Shelf Analytics at 83zero, 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 DSA Product Owner: Lead Digital Shelf Analytics
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 83zero, 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 83zero. 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 83zero
✨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 83zero!
✨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.
