Senior Product Analyst

Pennylane SAS; France; Hybride; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Pennylane SAS is seeking a Senior Product Analyst to help Product teams understand user behavior, identify opportunities, and translate insights into roadmap decisions.

You will collaborate with the Science & Analytics team within the Data department to drive a data-driven culture across Product, Design, Engineering, and Data.

Qualifications

• Experience turning user behavior data into actionable product insights.
• Ability to translate analyses into product roadmap recommendations.
• Strong collaboration with Product, Design, Engineering and Data teams.

Responsabilités

• Understand user behavior across Pennylane frontend experiences using Amplitude and data warehouse.
• Turn behavioral data into strategic insights to guide product decisions.
• Partner with Product leaders to frame analyses and translate findings into roadmaps.
• Help define success metrics and measurement strategies early in product development.
• Collaborate to ensure pragmatic, actionable measurement aligned with product decisions.
• Contribute to self-service analytics by supporting Product partners’ needs and data model enhancements.

Connaissances

Data analysis

Product analytics

Stakeholder alignment

Outils

Amplitude

DBT

Python

Redshift

Description du poste

Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)?

Are you looking for a work environment that values trust, proactivity, and autonomy?

Then Pennylane is the right place for you !

Our vision

We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones).

We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while providing them with access to key financial information to assist in making the best decisions for their business.

About us

Pennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)

In 5 years of existence, we’ve managed to :

Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants

Raise a total of €400 millions, including from Sequoia, the famous fund from the Silicon Valley who invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal and much more...

Grow from 7 cofounders to 1000 happy Pennylaners : we’re now recognized as one of the greatest places to work in France (and also remotely), with a 4.6/5 rating on Glassdoor.

Build an international environment with more than 25 nationalities, with a strong remote-friendly culture, where 30% of the employees are already working from all parts of Europe

Earn the trust of thousands of customers and accounting firms and obtain outstanding ratings

Already more than 1 300,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!

WHY this position is of utmost importance to reach our mission

At Pennylane, every decision that is not backed by data is likely to be challenged (when data is available of course). This culture is embraced by the leadership team, and actively promoted everywhere. The role of the data team is to make this possible by treating data like a production asset, making it available company-wide, and using it proactively to improve Pennylane’s user experience.

By joining us as a Senior Product Analyst, you will have a pivotal role in helping Product teams understand how users behave in our product, identify the most important opportunities, and turn those insights into roadmap decisions.

HOW you will contribute to the company

As a Senior Product Analyst, you will be part of the Science & Analytics team focused on Product topics (6+ people), inside the Data department (40+ people).

• You will help Product teams deeply understand user behaviors across Pennylane’s frontend experiences, using tools such as Amplitude and our data warehouse to identify adoption patterns, friction points, opportunities, and risks.

• You will turn behavioral data into clear, strategic insights that help Product leaders decide what to build, improve, simplify, or stop.

• You will be a real sparring partner for Product leaders, feeding their strategy by anticipating the most important questions, framing the right analyses, and translating findings into product roadmap recommendations.

• You will contribute to developing a stronger product measurement mindset across Product, Design, Engineering, and Data: helping teams define success metrics, clarify what needs to be measured, and think about measurement earlier in the product development process.

• You will partner with the relevant owners on tracking and implementation when needed, ensuring measurement choices remain pragmatic, actionable, and connected to product decisions.

• You will contribute to our self‑service approach to analytics by understanding Product partners’ needs and promoting a data‑driven culture. You will contribute directly to data models in the data warehouse (using dbt) used by Product teams.

WHAT you can expect from your life at Pennylane

Within one month:

• You will learn everything about our company, our teams, and our vision during the first onboarding week.

• You will get familiar with our stack, and have delivered a few small projects which will give you a concrete taste of our tools & processes.

• You will be given time to meet your future stakeholders, and gain a deep knowledge of the Product area you support.

Within 3 months:

• You will be fully in charge of supporting a Product area, prioritizing your topics with its decision makers and helping them connect user behavior insights to roadmap choices.

• You will be confortable with our technical stack (Python, Redshift, DBT).

• You will contribute to larger cross-company projects.

Within 6 months:

• You will proactively contribute to the Product area’s roadmap by surfacing strategic opportunities from behavioral analyses.

• You will work with Product, Engineering and Data practitioners to improve how we measure product success.

• <