Shotgun propose des opportunités professionnelles visibles dans le catalogue Screeningpass, avec leurs informations de contrat, de localisation et de candidature.
Product Data Analyst - Money
Shotgun recherche un Product Data Analyst pour accompagner l’équipe produit Money sur les paiements, la conformité fiscale et l’architecture PSP à Paris. La personne définira les métriques financières, fiabilisera les données et contribuera aux modèles analytiques avec SQL, Python, dbt et Snowflake. Le poste requiert au moins deux ans d’expérience ainsi que la maîtrise du français et de l’anglais.
Repères sur Shotgun
- Secteur
- Médias et divertissement
- Siège
- Paris
- Domaine officiel
- shotgun.live
- Création
- 2014 · 12 ans
- Effectif public
- 93 employés
- Offres ouvertes
- 4
Détails de l’offre
La description complète publiée par Shotgun.
Description de l’offre
What is Shotgun? Shotgun is a leading platform dedicated to empowering live music event organizers and touring artists, driving the future of the live music industry. We provide powerful tools to sell tickets, build strong brands, and connect with fans in meaningful ways. We are 100+ people across Paris, Miami, São Paulo, Lisbon and Marseille, growing fast and profitable. Mission We're building a dedicated product squad around Money , focused on payments, tax compliance, and a revamp of our PSP (Payment Service Provider) architecture.
Many topics are already identified, and the squad is being shaped right now. As the Product Data Analyst of the squad, you are its analytical partner: you turn data into decisions and recommendations, you make sure no product decision is made without a data foundation, and you are a guardian of data quality and reliability within your scope.
What you will do
Define and monitor the squad's metrics, including financial metrics, and educate the team and stakeholders on how to read them
- Lead data reconciliation projects between PSP data (Stripe and others), internal ledgers and accounting systems
- Design advanced data models for financial flows (payments, payouts, taxes, compliance reporting) and challenge the existing data model and metrics Define a clear standard and set up ownership for business-critical financial data
- Support the PSP architecture revamp: data quality checks, migration validation, monitoring Contribute to discovery, tracking specs and QA, monitoring after launch, bug analysis and A/B tests when relevant
- Collaborate with your squad, Ops and Finance Contribute to the Data Platform (dbt, Snowflake, Airbyte) beyond your squad scope Context engineering for AI: build and keep up to date the context source of truth (metric definitions, business rules, documentation) that our AI agents rely on The job is made for you if...
Must have
You have 2 years of experience minimum , including one solid full-time experience on a similar topic (financial data or a regulated, high-rigor environment: fintech, payments, fraud, compliance) You have very strong data modeling skills and solid SQL (complex queries) You have a strong analytical mind and a solid academic background You are comfortable with numbers and want to go deeper into Python, dashboards and product metrics You have a strong appetite for the product (product experience is not required) You use AI tools in your day-to-day work You are fluent in French and English Nice to have Basic understanding of payment flows and main players
Stripe or other PSP data modeling knowledge, data reconciliation, notions of tax compliance Airbyte, dbt, Metabase, Hex, Snowflake, PostHog (willingness to learn is a requirement) B2B experience, advanced use of AI tools (agents, automation, context) A passion for entertainment: music, gaming, events Who you are Humble and simple : we set the bar high but don't take ourselves too seriously Curious : you want to dig and understand Owner and organized : autonomous, you drive projects and move the team forward
Rigorous : you care about details and you can challenge an analysis A great communicator : you make the numbers speak, in writing and out loud, and you can present technical or analytical topics to different audiences without losing them A team player in a cross-functional squad (PM, designer, developers) Comps &
Perks
Company health insurance Alan (Shotgun covers 50% of contributions) Swile restaurant vouchers (50% covered by the employer, restaurant voucher value of 9 euros) 50% reimbursement of transportation pass (Navigo-type pass, public service bike subscription) Sustainable mobility bonus to encourage green transportation (set at 35 euros/month) A Gymlib subscription (access to sports and wellness facilities at reduced prices; Shotgun covers part of the subscription) Shotgun-related benefits: 50% discount on Shotgun commissions for event organizers on the platform 150 € Shotgun credit per quarter
Prérequis
- very strong data modeling skills
- solid SQL (complex queries)
- strong analytical mind
- strong appetite for the product
- use AI tools in day-to-day work
- basic understanding of payment flows
- data reconciliation
- notions of tax compliance
- B2B experience
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