Analytics Engineer (Revenue Analytics)
A
AffirmRevenue analytics
Remote PolandFull-TimeMiddle
Salary18833 - 28833 PLN per month gross permanent
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Job Details
- Experience
- 3+ years of work experience in an analytics engineering or business intelligence role
- Required Skills
- PythonSQLSnowflakeTableauData visualizationData modelingdbtDatabricksLooker
Requirements
- Have 3+ years of work experience in an analytics engineering or business intelligence role.
- Bring strong working knowledge of SQL, dbt, Python, data modeling, and data visualization.
- Have hands-on experience with BI tools such as Sigma, Looker, or Tableau.
- Have hands-on experience with Databricks and cloud data warehouses such as Snowflake.
- Understand data foundations for reliable AI, including semantic layers, metadata, evaluations, metric definitions, documentation, and data quality.
- Have experience integrating AI tools into day-to-day analytics engineering workflows.
- Be familiar with Salesforce and have experience supporting commercial areas of a business.
- Be able to identify user needs and translate them into robust, scalable data products.
- Be able to break ambiguous problems into tangible steps and work toward a solution.
- Communicate findings and recommendations clearly to technical and non-technical audiences.
Responsibilities
- Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts.
- Build and maintain critical reporting data models for external merchant reporting.
- Build semantic, metadata, and context layers that help AI systems 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 version control, code review, documentation, and release hygiene using GitHub-based workflows.
- Develop processes, governance, and foundations to scale analytics within Revenue.
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