At a Glance
- Tasks: Transform product ideas into detailed requirements and analyse data for AI solutions.
- Company: Leading B2B SaaS company with a focus on innovation and growth.
- Benefits: Flexible home-based work, competitive salary, and opportunities for professional development.
- Other info: Dynamic role with excellent career progression and a fun, collaborative culture.
- Why this job: Join a passionate team and make a real impact in the tech industry.
- Qualifications: Experience in product ownership or data analysis, preferably in a B2B SaaS environment.
The predicted salary is between 54000 - 66000 £ per year.
PRODUCT OWNER / DATA-ALGORITHM ANALYST
The firm is a leading B2B Saa S company that provides a comprehensive and fully integrated Saa S solution to Managing Agents and Accountants who undertake Service Charge Accounting.
The company has a broad product offering and is continuing to expand it.
Utilizing desktop and native mobile apps as the user interfaces, AI Agents are being embedded into the products moving forward.
You will have the satisfaction of being a key contributor to an aspect of the essential growth of the business.
As you take on more responsibility and help the company grow, you will share in the success.
Currently a team of diverse, engaged, passionate and pragmatic people who thrive on solving challenges, achieving success and having fun while doing so!
The role is primarily home based but may require occasional working in and around London.
THE ROLE
The company is looking for a Product Owner / Data-Algorithm Analyst who will play a key position working to build out these new products.
The person will be working with the established leadership team, liaising with clients and internal stakeholders, and using their critical thinking, together with design and data analysis ability to help translate feature requirements into working product that can be used by clients.
You will understand the technical and data aspects of the system to facilitate a pragmatic approach to design and be able to demonstrate the ability to understand and exploit algorithms supported by AI toolsets we utilize to achieve our goals.
WHAT WILL YOU BE DOING?
- Translating high-level product features into detailed, unambiguous requirements outline screen/data designs with clear acceptance criteria.
- Analyzing data and process to look for patterns we can translate optimally to build AI agents.
- Structuring and tweaking algorithms utilized in client-facing solutions.
- Owning the delivery backlog for your products within the estate of products, refining feature requirements, writing user stories, setting priorities, and managing issues through to completion.
- Undertaking user acceptance testing based on acceptance criteria.
- Coordinating timelines and releases, ensuring developers are working to clear goals and delivery milestones.
- Working closely with internal stakeholders (marketing, development, customer support) to refine requirements, manage expectations, and communicate progress.
- Supporting the development team by removing blockers, clarifying requirements, and making delivery decisions quickly.
- Drafting release notes and help center updates associated with product releases.
- Providing assistance as needed to the Customer Support team for the product in the live environment.
WHO ARE YOU?
- Demonstrable experience as a Product Owner / Data analyst / Data scientist Functional Designer.
- Ideally experience of working in a B2B Saa S environment.
- Competent at technical writing; ability to create functional specifications / blueprints and solutions-oriented screen and data designs.
- Competent at understanding and extracting data in relational databases for assessment and testing (SQL).
- Competent in data analysis and basic statistics.
- Competent at understanding JSON data structures and being able to visualize data manipulation.
- Ideally some experience in Machine Learning / Artificial Intelligence and / or Native apps.
- #J-18808-Ljbffr
SaaS PRODUCT OWNER / DATA-ALGORITHM ANALYST employer: AxiaMetrics
As a leading B2B SaaS company, we pride ourselves on fostering a dynamic and inclusive work culture where innovation thrives. Our team of passionate professionals enjoys the flexibility of primarily home-based work while having the opportunity to collaborate in London when needed. We offer robust employee growth opportunities, competitive benefits, and the chance to contribute meaningfully to our expanding product suite, all while sharing in the success of our collective achievements.
StudySmarter Expert Advice🤫
We think this is how you could land SaaS PRODUCT OWNER / DATA-ALGORITHM ANALYST
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at AxiaMetrics or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to AxiaMetrics.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like AxiaMetrics.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like AxiaMetrics that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace SaaS PRODUCT OWNER / DATA-ALGORITHM ANALYST
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at AxiaMetrics.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AxiaMetrics and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at AxiaMetrics
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If AxiaMetrics uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
