Senior Product Analyst London

Stenn Group
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Business Analyst, Data

Senior Data Analyst - Customer Experience

Senior Data Analyst

Supply Chain Data Analyst CGT

Head of Development - Fintech SaaS. Full Remote

Senior Business Intelligence Engineer EU Hardlines CX IDQ Marketing

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.

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.

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.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.