Senior Product Analyst

at  Stenn

Stenn is one of the leading FinTechs in Europe and a category leader in the verticals and markets it operates in. Founded in 2015, Stenn’s purpose is to connect international SMEs to the global financial system, helping to bridge a reported $3.6 trillion (USD) financing gap through a fast, simple online platform. To date, Stenn has enabled over $18 billion (USD) of finance to SMEs in 3 verticals and 4 markets, with capital provided by several blue-chip banks and institutional fund managers across the globe.
Rapid expansion continues at Stenn, as under-served SMEs seek financing solutions to manage significant macroeconomic and supply chain disruption; and this follows our $50 million Series A fundraise in 2022, valuing Stenn at $900 million.
Our HQ is in London with employees across the globe, including the USA, Europe and China. We are made up of diverse, highly skilled professionals who work in an innovative way to develop and drive our business further. Our people are empowered to work autonomously through a trusting leadership style which encourages learning.

QUALIFICATIONS:

• 5+ years of experience in Analytics and a Bachelor’s degree in a quantitative field.
• Excellent communication skills with the ability to translate complex data into clear, actionable insights.
• Proficient in data visualization and storytelling with data.
• Strong analytical and problem-solving skills with a solid foundation in mathematics and statistics.
• Extensive experience with product analytics tools such as Amplitude or Heap.
• Advanced SQL skills.
• Strong interest in both the strategic and operational aspects of product development.
• Experience in financial services analytics, especially with lending products, is highly desirable.
  At Stenn, we believe that every team member deserves to feel like they belong. We foster a culture of inclusivity, respect, and collaboration where everyone’s unique perspectives are valued. Join us and be part of a team where you can thrive and grow, both professionally and personally.
  We appreciate the support recruitment agencies can provide, however our in-house team do not require any 3rd party assistance at this time.
  We appreciate the support recruitment agencies can provide, however our in-house team do not require any 3rd party assistance at this time.
  At Stenn, we believe that every team member deserves to feel like they belong. We foster a culture of inclusivity, respect, and collaboration where everyone’s unique perspectives are valued. Join us and be part of a team where you can thrive and grow, both professionally and personally.

THE ROLE:

We are looking for a Senior Product Analyst to provide data-driven insights that will shape our product decisions and assess the impact of new features. The ideal candidate excels in using both quantitative and qualitative data to influence the product roadmap. You will work closely with the product, engineering, and analytics teams to support product development effectively.

RESPONSIBILITIES:

• Analyze product metrics, user behavior, and sales data to generate actionable insights for product improvements
• Conduct customer research and segmentation to inform product strategies and tailor solutions to diverse user needs
• Collaborate with product teams to identify, prioritize, and assess the impact of product features and initiatives, ensuring alignment with business goals and customer needs..
• Develop a deep understanding of the business and product landscape to identify opportunities that drive customer and business value.
• Define and implement key performance indicators (KPIs) and OKRs in collaboration with product leadership.
• Lead performance reviews with product squads to drive informed decisions.
• Collaborate with product and engineering teams to ensure relevant data is captured for product initiatives.
• Work with the analytics engineering team to prioritize essential data models and dashboards.
• Design and execute experiments to validate product ideas and enhance customer value.
• Advocate for data literacy and promote analytics best practices across the organization through workshops and continuous improvement initiatives.