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Experience Analytics Engineer

Porto

Job description

As an Analytics Engineer, you will analyze and evaluate business needs to deliver transformed, tested, documented, and code-reviewed data sets. You will collaborate closely with data engineers and data modellers to translate business requirements and user stories into technical specifications.

Working alongside the data modeller, you will design and implement data models that serve as the foundation for analysis, dashboards, and self-service reporting.

You will create reusable data assets prepared for analysis and reporting, applying software engineering best practices to analytics code. Additionally, you will perform data analysis to assess the consistency and accuracy of source data, maintain comprehensive documentation — including data catalogues and lineage—to enhance data literacy, and act as a data steward to support data governance objectives with a strong focus on data quality. You will also coordinate or conduct user acceptance testing to ensure product features meet business requirements and monitor data pipelines to troubleshoot issues and ensure data quality and integrity.

Requirements

Proven experience as a Data Engineer or Software Developer
Strong SQL skills
Solid Python with the standard data science stack (Pandas, NumPy, etc.)
Hands-on experience with Snowflake
Experience with dbt or SQLMesh
Building and maintaining robust ETL/ELT pipelines
Solid understanding of data modeling (Kimball, Inmon, Data Vault)
Applying data quality and testing best practices
Working in Agile/Scrum environments
Communicating clearly with both technical and business stakeholders
Explaining complex logic in simple, business-friendly terms
Strong problem-solving and cross-functional collaboration skills
Fluent English, written and spoken
Comfortable working with remote and offshore teams

Nice to Have:

Experience with automated testing for data pipelines
Background in Business Intelligence or Business Analysis
Knowledge of Terraform or infrastructure-as-code
Familiarity with CI/CD (e.g. GitHub Actions)
Experience with visualization tools (e.g. Tableau, Astrato)
Integrating third-party data via APIs
Familiarity with observability tools for data platforms

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