Pay: EUR 63,000–99,000/year · Base — pay source
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:
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Work setup: Remote stated — work setup source
Listed location: Remote Spain
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Employment: Unconfirmed

Before you apply

Sponsorship: Visa sponsorship not confirmed — sponsorship source
We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.
Read the full posting

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What you’ll work on

Full posting

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

From the employer’s posting

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

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

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

Tools in this posting

Python
SQL
Databricks
dbt
Snowflake
Tableau
Looker
Sigma

Source

- 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)

- 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

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

Benefits in the posting

Full benefits wording

Base Pay Grade - K
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).
Additional benefits include:
Away Days - wellness days to take off work and recharge
Learning & Development programs
Parental benefits
Employee Resource & Community Groups
This role is eligible for creative tax benefits, subject to applicable law and company policy
Location - Remote Spain
Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.

From the employer’s posting.

Job description

View original posting ↗

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

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 Affirm’s 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
Learning & Development programs
Parental benefits
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.**

#LI-Remote

Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.

Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:

Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

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Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: 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:
Location & working pattern: Remote Spain
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.
More source context
**This job description is not a contractual document, and is not intended to have binding force.** #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Work authorization: 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

Open source at job-boards.greenhouse.io ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 21, 2026
Recorded sightings: 54
Last seen by us: Oct 10, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Analytics Engineer II, Full Stack (Revenue Analytics)