Analytics Engineer, Finance

Role Overview

Join the Finance team in Barcelona, Spain, on a hybrid basis, working 3 days a week from the hub. As a shared service, you’ll work with all of Scopely’s talented studios. You’ll help improve the reliability, accuracy, and maintainability of Finance data workflows by developing and supporting automated pipelines, data transformations, and reporting models.

What You Will Do

Develop and maintain data pipelines, SQL transformations, and reporting models supporting monthly close, revenue reporting, and accounting workflows. Investigate missing, delayed, inconsistent, or incorrect financial data, identify root causes, and implement reliable solutions.

Why It Might Be a Fit

You’ll work closely with stakeholders and the Lead Analytics Engineer in Finance, contributing to reducing manual processes, strengthening data quality, and ensuring dependable financial information for monthly close, revenue reporting, and accounting activities.

Requirements

• Strong SQL skills and experience developing and maintaining production data transformations
• Experience working with a modern cloud data warehouse such as BigQuery, Snowflake, or Redshift
• Experience with data transformation frameworks such as dbt, Dataform, or equivalent technologies
• Knowledge of Git, version control, code reviews, and collaborative software development practices
• Familiarity with data-quality checks, automated testing, monitoring, or reconciliation processes
• Strong debugging and problem-solving skills, including the ability to investigate issues in inherited or imperfectly documented systems
• Experience working with Finance, Accounting, Revenue Accounting, month-end close, or audit-related data
• Ability to communicate technical concepts clearly to non-technical stakeholders, collaborate with engineering colleagues, and independently progress defined technical problems while seeking guidance when appropriate

Tagged as: BigQuery, Snowflake, SQL