At a Glance
- Tasks: Lead onboarding experiences and optimise customer journeys using data and insights.
- Company: Dynamic tech company focused on enhancing customer experiences.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a collaborative team and drive innovation in customer onboarding.
- Why this job: Shape how customers interact with our platform from day one and make a real impact.
- Qualifications: 3+ years in product ownership, strong data analysis skills, and UX understanding.
The predicted salary is between 54000 - 66000 £ per year.
We're looking for a Product Owner to take ownership of one of the most important parts of the customer journey: onboarding. From account creation and identity verification through to system configuration and activation, you'll help shape how merchants get up and running and realise value from day one.
You'll use customer insight, behavioural data and commercial thinking to identify friction points, prioritise improvements and deliver experiences that help merchants start trading faster.
- Identify customer problems through research and data analysis
- Validate solutions before development begins
- Use Data to Guide Decisions
- Monitor customer behaviour and conversion performance
- Explore opportunities to automate and optimise journeys through AI and intelligent workflows
- Continuously improve experiences across payments, identity verification, hardware setup and platform configuration
3+ years' experience as a Product Owner, Product Manager or similar role
- Experience working in agile product environments
- Ability to turn customer insight and data into clear product decisions
- Experience working with identity verification, compliance or KYC processes
- Ability to work with data and perform basic to intermediate SQL analysis
- Experience with BI tools such as Looker, Power BI or Tableau
- Strong understanding of UX principles and customer journey mapping
- Experience writing PRDs, user stories and success metrics
- Comfortable prioritising work using frameworks such as RICE or MoSCoW
Working alongside experienced product, engineering and commercial teams, you'll play a key role in shaping how customers experience the platform from their very first interaction.
If you're passionate about building seamless customer experiences, solving complex problems and delivering measurable product outcomes, we'd love to hear from you.
Tableau Product Owner employer: Epos Now Group
Epos Now Group is an exceptional employer that fosters a dynamic and supportive work culture in Norwich, where employees are encouraged to grow their skills and advance their careers. With a focus on high-impact outreach, the company offers comprehensive training and development opportunities, ensuring that each team member can thrive in their role while contributing to meaningful B2B engagements.
StudySmarter Expert Advice🤫
We think this is how you could land Tableau Product Owner
✨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 Epos Now Group!
✨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 Tableau Product Owner at Epos Now Group.
✨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 Epos Now Group.
✨Apply Directly through Our Website
When you find a suitable opening like Tableau Product Owner at Epos Now Group, 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 Tableau Product Owner
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 Epos Now Group, 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 Epos Now Group. 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 Epos Now Group
✨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 Epos Now Group!
✨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.
