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Analyst I, Full Stack

Affirm

London

Remote

CAD 90,000 - 130,000

Full time

3 days ago
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Job summary

Affirm is seeking a driven analyst to join the Growth Analytics team, responsible for leading analytics workflows to enhance consumer products. The ideal candidate should be analytically minded with SQL experience, eager to collaborate and support organizational goals effectively. This role provides competitive compensation and a comprehensive benefits package in a remote-first environment.

Benefits

100% subsidized medical coverage
Generous stipends for Technology and Lifestyle expenses
Competitive vacation and holiday schedules
Employee stock purchase plan

Qualifications

  • 1-3 years in an analytically-driven role.
  • Strong SQL knowledge, preferably with Snowflake.
  • Experience with analytics tools like Git and Looker is a plus.

Responsibilities

  • Own end-to-end analytics workflow and define success metrics.
  • Support the analytics community through documentation and collaboration.
  • Identify key business metrics for improved discoverability.

Skills

Analytical skills
Problem-solving
Interpersonal skills
Creativity

Education

Bachelor's or Master's degree in statistics, math, finance, or economics

Tools

SQL
Git
Looker
DBT

Job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

We’re looking for a driven, analytically-minded professional to join the Growth Analytics team! Growth Analytics at Affirm encompasses Product, Marketing, Operations, and Foundations. The team is responsible for the research, reporting, and experimentation vital to build outstanding consumer-facing and merchant products.

The ideal candidate will have strong analytical and problem-solving skills, an eagerness to collaborate with different teams, curiosity to learn more every day, and patience to work through difficult problems.

What you will do

  • Own end-to-end analytics workflow, including defining success, generating insights and hypotheses, performance metrics, socializing them across the organization, and developing scalable analytics solutions and data models
  • Support the broader analytics community by driving analytics growth through knowledge sharing, documentation, and collaboration across teams.
  • Continuously seek out implementing improved operational workflows and more effective analytics solutions.
  • Support efforts to identify and organize key business metrics, helping improve discoverability, alignment, and clarity across teams.
  • Evaluate colleagues pull requests to ensure adherence to Affirm's code review best practices and guidelines.

What we look for

  • Passion to redefine the lending and financial industry for the better
  • 1-3 years of experience in an analytically-driven role (analytics, consulting, finance, etc.); Preferably previous experience as an Analytics Engineer, Business Intelligence, or Data Analyst role that supported other analysts
  • Strong working knowledge of SQL (preferably Snowflake)
  • Knowledge of analytics development tools such as Git, Looker, Sigma, DBT, and Statsig is a plus
  • Practical and theoretical knowledge of A/B testing is a plus
  • Strong interpersonal skills and ability to work cross-functionally and influence both technical and non-technical audiences
  • Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
  • Bachelor's or Master's degree in a quantitatively rigorous subject area like statistics, math, finance, economics desired
  • Enough laziness to find a faster way to do your least favorite tasks
  • Humility and team player - you go out of your way to help teammates

Pay Grade - I

Equity Grade - 3

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

CAN base pay range per year: $90,000-130,000

LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

Benefits

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
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