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9fin

Senior Product Analyst

Posted 11 Days Ago
Be an Early Applicant
Hybrid
London, Greater London, England
Mid level
Hybrid
London, Greater London, England
Mid level
As a Senior Product Analyst at 9fin, you will analyze complex datasets using SQL and Python to drive data-informed decisions. Your responsibilities include consulting on user behavior metrics, building and optimizing data models, developing dashboards, and supporting experimentation efforts while collaborating with cross-functional teams to enhance product performance.
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About 9fin

The world's largest asset class, debt, operates with the worst data.

Technology has revolutionized equity markets with electronic trading, quant algos and instantaneous news. However, in debt capital markets, the picture is completely different. It still behaves like it’s in the 1980s; trillions of dollars of trades are placed over the phone, news is slow, and corporate credit information is imperfect and scattered.

Our mission is to change this.

9fin's proprietary technology delivers fast and comprehensive financial, credit, legal & ESG analysis. Our clients are able to make faster, more informed decisions, win more business and most importantly, save time.

Our fast growing list of clients include 9 of the top 10 Investment Banks, leading Asset Managers, Hedge Funds and Law Firms.

What you’ll work on

As our first dedicated hire into the Product Analytics team, you’ll have the opportunity to shape how data is used to improve our product offering. You'll play a key role in defining best practices, processes, and tools for product analytics, working closely with teams across the organisation to drive data-informed decision-making. This is a high-impact role where you’ll have the autonomy to build from the ground up and make a meaningful difference.

  • Deliver actionable insights by analysing complex datasets using SQL and python, helping teams make data-driven decisions that improve product performance and user experience.

  • Act as an expert partner for product analytics - Consulting with Product Managers and Engineers on the best way to measure and track user behaviour in Amplitude

  • Build and optimise data models in BigQuery and dbt to support self-service analytics and scalable reporting.

  • Investigate and troubleshoot data issues, ensuring data integrity and consistency across multiple sources.

  • Collaborate with cross-functional teams, including Product, Engineering, and Go-to-Market teams, to define key metrics, track performance, and identify growth opportunities.

  • Develop dashboards and reports in BI tools to enable real-time monitoring of product and business performance.

  • Contribute to data governance efforts, ensuring best practices in data quality, documentation, and reporting standards.

  • Support experimentation and A/B testing, providing analysis and recommendations for product improvements.

About You

This role will be a great fit if you:

  • Have strong experience with modern product analytics tools such as Amplitude

  • Have strong proficiency in SQL and data modelling (experience with dbt is a plus).

  • Are comfortable working with large datasets and using statistical methods to generate actionable insights.

  • Have experience with data visualization tools (e.g., Looker, Tableau, Mode, or similar).

  • Possess excellent communication skills and can work effectively with both technical and non-technical stakeholders.

  • Enjoy problem-solving and can tackle complex data challenges in a fast-paced environment.

  • Have a solid understanding of data warehousing concepts and familiarity with cloud platforms like BigQuery, Snowflake, or Redshift.

  • Are proactive in improving data processes, documentation, and analytics best practices.

  • (Bonus) Exposure to Python for data analysis is a plus!

Our benefits

We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.

Financial & Insurance

  • Competitive Salary (our salary bands are benchmarked at the top end of the market)

  • Equity options

  • Pension (your minimum contributions are 4% with 9fin matching up to 7%)

  • Private Medical Insurance

  • Paid sick leave with Income Protection for long periods of illness

  • Group Life Assurance 

  • Season Ticket Loan & Cycle to Work schemes

Time off 

  • 25 holiday days per year

  • Local public holidays (with the ability to exchange them for alternative days)

  • Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work

  • Work abroad for up to 3 months a year

  • 1 month paid sabbatical after 5 years of service

  • Enhanced parental leave & flexible working arrangements available

Training & Culture 

  • Professional learning and development budget

  • Quarterly team socials

  • Summer and Winter company social events


A note from the hiring manager

At 9fin, data isn’t just a support function; it’s at the core of our product. You’ll be surrounded by smart, curious people who are passionate about using data to make better decisions, improve our product, and create meaningful impact. If you’re looking for autonomy to own high-impact initiatives from conception through to delivery, and the opportunity to influence the entire organisation, then 9fin might be the perfect fit for you. I’d love to hear from you, apply now to learn more! – Rory, Analytics Engineering Manager

9fin is an equal opportunities employer

At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.

Top Skills

Python
SQL
HQ

9fin London, England Office

77 Leadenhall St, London, United Kingdom, EC3A 3DE

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