Analytics Engineer: Data Products & Self-Service Analytics

Requirements

• At least 5 years of engineering experience with an analytical mindset
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• Solid understanding of architectures, design principles and engineering best practices
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• Experience across all stages of the data pipeline: ingestion, transformations, mart creation
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• (Desirable) Experience with our tech stack is a bonus: S3/Snowflake/Airflow/Python/DBT

What the job involves

• You will join a product delivery team and be responsible for ingesting, modeling, and publishing data to scale our business. You will design and maintain data products, collaborate on success metrics, and ensure interoperability by leveraging a self-service analytics platform and adhering to best practices
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• Working closely with product and business stakeholders to define and build meaningful product metrics
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• Developing analytical products such as data models, dashboards, reports and tooling to enable self-serve reporting and analysis for stakeholders
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• Improving our architecture (snowflake and dbt) based on what brings the most impact to cost reduction and speed, applying software engineering best practices
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• Taking ownership of projects from scoping to delivery and adoption, working autonomously