Senior Product Analyst
Pennylane is hiring a Senior Product Analyst for a remote role open to applicants in France. Level rates it ; you can apply on Pennylane.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include SQL, product analytics and data analysis.
- Level classifies it as a senior role.
- Level lists 170 other open roles at Pennylane.
AI in this role
Analyze user behavior data to guide product roadmaps and feature decisions at a financial SaaS company.
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.
You will share your learnings and best practices within the team.
And beyond: the data team will continue growing with the company
Which means:
Opportunities to recruit and mentor new team members,
Increased accountability in project leadership,
Responsibilities to design and implement new processes, tools and best practices to make sure that your team works even more efficiently.
Who are we looking for?
You’re the right candidate if you:
Have had previous experiences as Product Analyst or Data Analyst working closely with Product teams, ideally in scale-up environments (5-6 years)
Are seasoned working with SQL, DBT and data visualization tools, and have strong experience with product analytics tools such as Amplitude or similar event-based analytics platforms
Are comfortable collaborating with Product Managers and Designers, as well as engineering partners, beyond the data team
You have a strong product and business acumen, and are seen as a trusted partner by your business stakeholders
Are able to connect user behavior, product usage and business impact into clear strategic recommendations
Have strong communication skills and are capable of articulating your ideas clearly
Are Fluent in English - French is a plus
What does the recruitment process look like?
A first interview with our Talent Acquisition Manager
A case study interview to discuss a topic closely related to one of our priorities (60 min)
A past project interview to hear about your experience (60 min)
An interview with our Tech & Product leaders to discuss our company culture (45 min)
What do we do to make your work life easier
🌴 Wherever you are based, you will get 25 vacations days paid by Pennylane
💵 You’ll have a competitive compensation package
📈 You'll get company shares to enjoy a piece of the success story you're building with us
🏡 You’ll have a budget to turn your home into a more comfortable workspace, as well as a monthly allowance to work from a coworking space whenever you feel like it
⛹️ Through our partner Gymlib, you’ll have access to 8000 fitness spaces in Europe and more than 300 activities related to wellness
💻 You’ll get the latest Apple equipment
🏢 Depending on the teams and the requirements of the position - you'll be able to work remotely from your country of residence, as long as it is in Europe and within a maximum time difference of two hours from the CET time zone
🎉 We are committed to regularly coming together for company events such as Tech Days (which bring remote Pennylaners together every 3 months) or our annual company seminar, fostering significant moments of cohesion for everyone.
If you are based in France, you will have a French contract following French regulation on top of the additional perks : 6 to 12 RTT, 5 weeks PTOs, lunch credits (Swile), Alan Blue healthcare cover and regular events in cities where Pennylaners are mostly presents (Lyon, Bordeaux, Nantes…)
We're working on providing those last advantages to our people based outside of France as well, but it can be quite more complex depending on different countries.
Who are we looking for ?
To thrive at Pennylane, you need :
-To speak English (level is assessed and appreciated according to the department you’re applying to)
-To be energized by an ever-shifting work environment
-To be highly collaborative (within your team or other stakeholders)
-Sufficiently experienced to prioritize business-led actions on your day to day activity
We know that some people are less likely to apply than others, if they don’t feel like they meet the full list of criteria.
If you’re hesitating, we encourage you to apply : who knows, it might be the start of a meaningful and long-lasting collaboration.
Important information for candidates
Recruitment scam attempts are on the rise. We invite you to remain vigilant during your exchanges.
Applications through official channels only : apply exclusively through our job postings published on our official platforms (career site, official partner pages).
Always verify the sender's email address: our communications are sent from professional email addresses with the domains @pennylane.com or @pennylane-partners.com
We will never ask you for payment or financial information
(bank details, payment for an interview, equipment purchases, etc.) as part of the recruitment process. If such a request is made to you, it is fraudulent. We invite you to not respond and to report it to us immediately.
We also want to emphasize that we fully embrace diversity, equity and inclusion and that we’re doing our best to create a safe and inclusive environment.
We are committed to providing an equal employment opportunity regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are. If anything, diversity makes us a more fun place to work at.
🇫🇷 Données personnelles
Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com.
Notre data policy
🇬🇧 Personal Data
Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more
🇩🇪 Personenbezogene Daten
Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren
🇪🇸 Datos personales
Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información
How we rate this
Senior Product Analyst at Pennylane rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product analytics was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where experimentation was part of your work. What did you do?
- What's a project where you used SQL hands-on?
Adapt your resume
- List these exact terms on your resume: Product Analytics, Data Analysis, Experimentation, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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