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Senior Product Analyst

9fin

London

Hybrid

GBP 40,000 - 80,000

Full time

30+ days ago

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Job summary

An innovative firm is seeking a data-savvy professional to join their analytics team. In this role, you will delve into complex datasets using SQL and Python, providing actionable insights that drive product performance and enhance user experience. You will collaborate with cross-functional teams, build and optimize data models in BigQuery, and develop dashboards that enable real-time monitoring. This position offers a unique opportunity to influence decision-making processes while working in a supportive and inclusive environment. If you're passionate about data and eager to make a significant impact, this role could be your next great adventure.

Benefits

Equity Options
Private Medical Insurance
Paid Sick Leave
Pension Contributions
Professional Development Budget
25 Holiday Days
Work Abroad Opportunities
Enhanced Parental Leave
Flexible Working Arrangements
Quarterly Team Socials

Qualifications

  • Strong experience with product analytics tools like Amplitude.
  • Proficiency in SQL and data modelling, dbt experience is a plus.

Responsibilities

  • Analyze complex datasets using SQL and Python for actionable insights.
  • Collaborate with teams to define key metrics and identify growth opportunities.

Skills

SQL
Data Modelling
Statistical Methods
Problem-Solving
Communication Skills

Tools

Amplitude
BigQuery
dbt
Looker
Tableau
Mode
Python

Job description

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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

  • 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

  • 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.

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