Analyst II, Full Stack – Revenue Analytics

Affirm

Analyst II building scalable data products for revenue analytics at Affirm. Collaborating with stakeholders to deliver analysis, reporting, and data solutions.

Posted 7/28/2026contractRemote • 🇵🇱 PolandMid-LevelSenior💰 PLN 226,000 - PLN 346,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in developing dbt data models and dashboards, with strong expertise in SQL, Python, and data visualization tools. Capable of translating business requirements into scalable data products while ensuring data quality and governance.

Highest-signal resume keywords

SQLDbtPythonData VisualizationBI Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingAutomation ProcessesData QualitySemantic LayersMetric Definitions

Soft Skills

Problem SolvingCommunicationCollaboration

Tools & Technologies

SigmaLookerTableauDatabricksSnowflake

Industry Keywords

Analytics EngineeringBusiness IntelligenceRevenue AnalyticsAI IntegrationSalesforce

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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