Postuler

Publié il y a 37 mois

Data Analyst

@ Stripe

Canada

2+ ans d’expérience
Postuler
SIGNAUX

En bref

Stripe is hiring a Data Analyst to partner with teams across the company on metrics, data pipelines, dashboards and reports that inform business decisions. The role turns business needs into data problems and delivers recommendations through analysis and data storytelling. Stripe asks for SQL proficiency, 2 to 3 years of analyst experience, and the ability to build self-service tooling for stakeholders.

Responsabilités :

  • Partner with teams to extract insights from complex data
  • Build metrics, scalable data pipelines, dashboards and reports
  • Translate business needs into data problems
  • Deliver actionable recommendations through analyses and data storytelling

Résumé des exigences :

  • MS/MA with 2 years or BS/BA with 3 years of analyst experience
  • Proficiency in SQL
  • Ability to manage multiple projects with attention to detail
  • Ability to build self-service tooling and train stakeholders

Outils et compétences

Source et dates

Site carrière / système de candidatures · greenhouse

Date publiée par l’employeur
2023-11-01
Première détection par notre source
2026-10-10
Mise à jour du dossier source
2026-11-04

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDonnées et analytique
Expérience2 an(s) et plus
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré)

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Stripe

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Help increase the GDP of the internet.

Description complète de l’entreprise

Stripe builds programmable financial services. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.

Abonnés LinkedIn
1 286 676
Personnes associées sur LinkedIn
14 284
Bureaux déclarés
  • 354 Oyster Point Blvd, South San Francisco, California 94080, US
  • 1 Wilton Park, Wilton Terrace, Dublin, County Dublin D02 FX04, IE
  • 920 5th Ave, Seattle, Washington 98104, US
  • 201 Bishopsgate, London, England EC2M 3NS, GB
  • 10, Boulevard Haussmann, Paris, Ile-de-France 75009, FR
  • 89 Neil Rd, Central Business District, Singapore 088894, SG
  • 1-5-8 Jingumae, Tokyo, Shibuya-ku 150-0001, JP
  • 515 N State St, Chicago, Illinois 60610, US
  • 28 Liberty Street, New York, NY 10005, US
  • Singel 542, Amsterdam, North Holland 1017, NL
  • Avenida Paseo de la Reforma 296, Ciudad de Mexico, Colonia Juarez 06600, MX
  • 222 Exhibition St, Melbourne, Victoria 3000, AU
  • Avenida Paulista 1374, Paulínia, São Paulo 13140-000, BR
  • Church Street Haridevpur, Shanthala Nagar, Ashok Nagar, Bengaluru, Karnataka 560001, IN
Catégories d’activité
  • Finance
  • InsurTech
  • SaaS
  • FinTech
  • Financial Services
  • Venture Capital
  • Mobile Payments
Autres noms enregistrés
  • Stripe
Le profil indique une agence de recrutement
Non
Investissement total déclaré
9 440 247 725

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Stripe builds programmable financial services. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.

ChampValeur
SecteurTechnology, Information and Internet
Taille5,001-10,000 employees
Siège socialSouth San Francisco, California
Type d’organisationPrivately Held
Fondée en2010
Offres sur Jobsy49
LinkedInVoir la page
Description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll also work with leaders to translate business needs into data problems. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

  • MS/MA + 2 years or BS/BA + 3 years of full-time experience exclusive of internships in Business Intelligence Engineering, Data Analyst, and Business Analyst roles
  • Proficiency in SQL
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact
  • Ability to design, implement, and maintain data pipelines and dashboards to generate actionable insights based on stakeholder requirements
  • Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses that provide recommendations
  • Ability to enable stakeholders and partners by building self-service tooling and providing training to empower stakeholder teams to be data literate and self-sufficient in autonomous reporting capabilities

Preferred qualifications

  • Prior experience at a growth-stage internet or software company
  • Experience with distributed data frameworks like Spark to write and debug data pipelines
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing
  • Strong statistical knowledge
  • Working knowledge of Python
  • Experience creating leadership-level reporting, such as QBRs, MBRs
  • Proficiency with AI tools to accelerate model development, analysis, and coding

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