At a Glance
- Tasks: Transform product ideas into reality by analysing data and designing innovative solutions.
- Company: Leading B2B SaaS company with a vibrant and collaborative culture.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential.
- Why this job: Join a passionate team and make a real impact in the tech world.
- Qualifications: Experience in product ownership or data analysis, with a knack for problem-solving.
The predicted salary is between 68205 - 80000 £ 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 in London 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 collaborates to solve challenges while enjoying the journey, offering ample opportunities for personal and professional growth. With a primarily home-based role and occasional engagements in London, we provide a flexible work environment that supports a healthy work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land SaaS PRODUCT OWNER / DATA-ALGORITHM ANALYST in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace SaaS PRODUCT OWNER / DATA-ALGORITHM ANALYST in London
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 AxiaMetrics, 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 AxiaMetrics. 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 AxiaMetrics
✨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 AxiaMetrics!
✨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.
