Analyst II, Full Stack (Revenue Analytics)

Remote; San Francisco (CA); A distancia; USD 70.000 - 111.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% subsidized medical coverage, and

Equity rewards

Visa sponsorship (Spain)

Wellness days

Flexible Spending Wallets for tech, 
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Descripción de la vacante

Affirm is redefining credit with a global, remote-first approach. We are seeking a curious analytics engineer to join Revenue Analytics, owning end-to-end data products, modeling, dashboards, and automation to empower day-to-day decision-making.

You will build scalable data infrastructure, help strengthen semantic layers, and collaborate with engineering and business stakeholders to translate requirements into durable data solutions leveraging SQL, dbt, and BI tools.

Formación

• 3+ years of work experience in an analytics engineering or business intelligence role.
• Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization.
• Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake).
• Understanding of the data foundations required for reliable AI, including semantic layers, metadata, evals, metric definitions, documentation, and data quality.
• Demonstrated experience integrating AI tools into day-to-day analytics engineering workflows to improve development speed, quality, and scalability.
• Familiarity with Salesforce and experience supporting commercial areas of the business.
• Ability to identify user needs and translate them into robust, scalable data products.
• Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work toward an impactful solution.
• Ability to communicate findings and recommendations clearly to both technical and non-technical audiences.

Responsabilidades

• Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts.
• Build and maintain critical reporting data models that power external merchant reporting.
• Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions.
• Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products.
• Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows).
• Develop processes, governance, and foundations to scale the impact of analytics within Revenue.

Conocimientos

SQL

dbt

Python

Data modeling

Data visualization

Herramientas

Sigma

Looker

Tableau

Databricks

Snowflake

Descripción del empleo

Defining the future of work & living globally

5,812 jobs · 6 companies

Analyst II, Full Stack (Revenue Analytics)

Remote

Software Engineering, IT, Data Science · Full-time

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 curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power AffIRMs Revenue organization.
As a Analyst at Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement.
You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure.

What you’ll do

Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts

Build and maintain critical reporting data models that power external merchant reporting

Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions

Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products

Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows)

Develop processes, governance, and foundations to scale the impact of analytics within Revenue.

What we look for

3+ years of work experience in an analytics engineering or business intelligence role

Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization

Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake)

Understanding of the data foundations required for reliable AI, including semantic layers, metadata, evals, metric definitions, documentation, and data quality

Demonstrated experience integrating AI tools into day-to-day analytics engineering workflows to improve development speed, quality, and scalability

Familiarity with Salesforce and experience supporting commercial areas of the business

Ability to identify user needs and translate them into robust, scalable data products

Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work toward an impactful solution

Ability to communicate findings and recommendations clearly to both technical and non-technical audiences.

Compensation and Benefits

Base Pay Grade - K

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 monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by affirm holdings, inc. (parent company).We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.

ESP base pay range per year: 63,000 - 99,000 EUR

Additional benefits include:

Type of employment: Contract of Employment

Flexible Spending Wallets for tech, food and lifestyle

Away Days - wellness days to take off work and recharge

Employee Resource & Community Groups

This role is eligible for creative tax benefits, subject to applicable law and company policy

Location - Remote Spain

The majority of our roles can be located anywhere in Spain.

**This job description is not a contractual document, and is not intended to have binding force.**