At a Glance
- Tasks: Transform data into actionable insights that shape our product roadmap and drive decision-making.
- Company: Join 9fin, the AI platform revolutionising global debt markets with cutting-edge technology.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on collaboration and career advancement.
- Why this job: Be at the forefront of innovation in a fast-paced environment impacting major financial institutions.
- Qualifications: Experience in product analytics, data modelling, and a passion for driving product success.
The predicted salary is between 60000 - 80000 £ per year.
About 9fin9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.
Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.
Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors.
The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.
We’re at a defining inflection point.
With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.
What you’ll work on
You’ll sit at the core of how 9fin builds our product; turning behavioural data into the decisions that shape our roadmap.
Working alongside another product analyst and our analytics engineers, you’ll own product analytics end-to-end, from instrumentation through to the insight that changes what we build.
Own North Star Metrics across product squads.
Define, sign off and implement NSMs for each product team end-to-end, from metric definition with PMs, to dbt models on Big Query, to Omni topics and dashboards that become the source of truth.
Build and own product data models.
Author and maintain dbt models, tests and docs that turn raw event streams into reliable, reusable product datasets, and own the Omni semantic layer (topics, metrics, dimensions) so stakeholders trust the numbers.
Own instrumentation as a governed product.
Design and maintain the event taxonomy, embed a tracking spec into every PRD before build, and partner with engineering to reconcile front-end (Amplitude) and backend events so data is trustworthy by design.
Drive post-launch, retention and activation analysis.
Diagnose how features land — measuring adoption, retention, time-to-value and activation by persona, using Amplitude, SQL and Omni to turn findings into clear recommendations.
Be the analytical partner to Product.
Embed in discovery and PRDs, define success metrics, size opportunities to inform prioritisation, and translate ambiguous questions into analysis that drives roadmap decisions.
Answer high-impact ad-hoc questions.
Rapidly investigate usage, segmentation, funnels and data-quality issues for product, leadership and commercial stakeholders.
Connect product usage to commercial outcomes.
Move from user-level to
Senior Product Analyst in London employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Analyst in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Doist!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Doist would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Doist through your school's career services!
We think you need these skills to ace Senior Product Analyst in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Analyst, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Product Analyst position at Doist. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Doist
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
