Analytics Engineer

Posted 2024-11-09

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💎 Seniority level: Senior

📍 Location: US, UK, Philippines, Poland, South Africa

🔍 Industry: Financial services / Remittance

🏢 Company: Zepz

🗣️ Languages: English

🪄 Skills: AWSPythonSQLKubernetesAirflow

Requirements:

Comfortable with daily use of SQL in a modern cloud data warehouse environment.
Able to automate processes and deploy applications in Python, developing production standard scripts.
Confidence working with command line, version control, testing, and code reviews.
Problem-solver who understands business issues and communicates commercial impact.
Advocate for data-driven decision-making and strives to improve processes.
Familiarity with dbt for designing and implementing data models is a nice to have.
Open-minded with respect to diversity and inclusivity.

Responsibilities:

Building and maintaining data models to expose reliable data for analysis and reporting.
Communicating with analysts and business stakeholders to understand commercial requirements and translating them into technical solutions.
Developing standards and best practices for data consumption, including educating data consumers on data quality.
Identifying opportunities to reduce complexity and increase efficiency across data models and the data warehouse.
Ensuring data quality is high, including testing, automation, scalability, and documentation.

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Analytics Engineer

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