Product Analyst in Harrow

Product Analyst in Harrow

Harrow Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform product ideas into actionable requirements and analyse data to enhance AI solutions.
  • Company: Leading B2B SaaS company with a vibrant, diverse team.
  • Benefits: Flexible home-based 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 on innovative products.
  • Qualifications: Experience in product ownership or data analysis, preferably in a B2B SaaS environment.

The predicted salary is between 45000 - 55000 £ per year.

The firm is a leading B2B SaaS company that provides a comprehensive and fully integrated SaaS solution to Managing Agents who manage buildings and estates and Accountants who undertake Service Charge Accounting. The company has a broad Product offering and is continuing to expand it. Utilising desktop and native mobile apps as the user interfaces, and 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. And 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 have 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 products 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 utilise 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.
  • Analysing data and process to look for patterns we can translate optimally to build AI agents.
  • Structuring and tweaking algorithms utilised 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 centre 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 SaaS environment.
  • Competent at technical writing; ability to create functional specifications/blueprints and solutions-orientated screen and data designs.
  • Competent at understanding and extracting data in relational databases for assessment and testing (SQL).
  • Competent at data analysis and basic statistics.
  • Competent at understanding JSON data structures and being able to visualise data manipulation.
  • Ideally some experience in Machine Learning/Artificial Intelligence and/or Native apps.

Product Analyst in Harrow 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 be a key player in our exciting expansion, making us an excellent employer for those seeking meaningful and rewarding careers.

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Contact Details:

AxiaMetrics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Analyst in Harrow

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by practising common questions related to product analysis and data algorithms. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your problem-solving skills effectively.

Tip Number 3

Showcase your passion for the role! During interviews, share your enthusiasm for AI and data analysis, and how you see yourself contributing to the company's growth. Let them know you're not just looking for a job, but a place where you can make an impact.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our awesome team!

We think you need these skills to ace Product Analyst in Harrow

Product Ownership
Data Analysis
Algorithm Structuring
Technical Writing
Functional Specifications
SQL
JSON Data Structures

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about being a Product Analyst and contributing to our growth. Share why you’re drawn to this position and how your skills align with our mission.

Tailor Your CV:Make sure your CV is tailored specifically for the Product Owner / Data-Algorithm Analyst role. Highlight relevant experience, especially in B2B SaaS environments, and showcase your technical writing skills. We love seeing how your background fits into what we do!

Be Clear and Concise:In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that get straight to the point, so make sure your ideas flow logically and are easy to understand.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our awesome team at StudySmarter!

How to prepare for a job interview at AxiaMetrics

Know Your Product Inside Out

Before the interview, make sure you thoroughly understand the company's product offerings and how they integrate AI into their solutions. Familiarise yourself with their SaaS model and think about how your skills as a Product Owner or Data Analyst can contribute to their growth.

Prepare for Technical Questions

Given the technical nature of the role, be ready to discuss your experience with SQL, data analysis, and algorithms. Brush up on your knowledge of JSON data structures and be prepared to explain how you've used these skills in past projects.

Showcase Your Problem-Solving Skills

The company values pragmatic thinkers who enjoy solving challenges. Prepare examples from your previous work where you successfully tackled complex problems, especially in a B2B SaaS environment. Highlight your critical thinking and how it led to successful outcomes.

Engage with the Team Spirit

Since the company prides itself on a diverse and engaged team, demonstrate your ability to collaborate and communicate effectively. Share experiences where you worked closely with stakeholders or cross-functional teams, and express your enthusiasm for contributing to a fun and successful work environment.