Назад
2 месяца назад

Analytics Lead, Full Stack (Fintech)

185 000 - 245 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Analytics Lead, Full Stack (Fintech): Building comprehensive revenue analytics, business cases, dashboards, and scalable data solutions for merchant and marketplace growth with an accent on KPI design, experimentation, and stakeholder communication. Focus on standardizing analytics infrastructure, automating decision support, and quantifying product value for prospective and existing merchants.

Location: Remote US; most roles can be done from almost anywhere within the country of employment. New hires attend an in-person onboarding experience.

USA base pay range per year: $185,000–$245,000 in CA, WA, NY, NJ, and CT; $164,000–$224,000 in all other U.S. states.

Company

Affirm provides transparent buy-now-pay-later payment solutions that help consumers pay over time and connects merchants and consumers through its products.

What you will do

  • Partner with Client Success and Marketplace teams as the data subject-matter expert for Revenue segments and merchants across point-of-sale and Marketplace businesses.
  • Create business cases, insights, dashboards, and experiments for external merchants, demonstrating Affirm’s value proposition and product performance.
  • Analyze Revenue performance, develop recommendations, and inform segment strategy and execution.
  • Standardize common analytics use cases, build analytics infrastructure, and automate analyses and dashboards for Revenue and external merchants.
  • Define KPIs, benchmarks, methodologies, and data sources to generate actionable insights.
  • Guide cross-functional analytics projects and experiments, monitor execution, quantify Affirm’s value to prospective merchants, and support upselling to existing merchants.

Requirements

  • 5+ years of experience in an analytically driven role, such as consulting, finance, or analytics.
  • Strong working knowledge of SQL and data visualization tools such as Sigma, Looker, or Tableau.
  • Demonstrated aptitude in leveraging AI tools for analytics.
  • Exceptional problem-solving skills and the ability to establish analytical frameworks in ambiguous situations.
  • Ability to create structure, align stakeholders, and select impactful data for decision-making.
  • Ability to communicate effectively and craft compelling narratives for internal and external business and technical stakeholders at all levels.
  • Strong organization and execution skills, including the ability to work independently and drive multiple strategic initiatives simultaneously.
  • Track record of building successful cross-functional relationships and driving projects end to end, from strategy through implementation.
  • Passion for improving the retail and lending industries, resourcefulness in finding faster ways to complete tasks, humility, and a team-oriented approach.

Nice to have

  • Knowledge of the FinTech or Payments industry.
  • Prior data analytics experience for marketplace platforms.
  • Understanding of or demonstrated aptitude to learn Python.
  • Demonstrated aptitude in AI tools for analytics, including Cursor or Claude Code.

Culture & Benefits

  • Remote-first work environment with flexibility within the country of employment.
  • 100% subsidized medical coverage, dental and vision coverage for employees and dependents.
  • Monthly stipends for technology, health, and wellness spending.
  • Flexible time off and generous holiday calendars.
  • Employee stock purchase plan with discounted Affirm stock.
  • Inclusive interview process with accommodations available for candidates with disabilities.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →