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Moderate competition due to strong brand and metro location but requires niche dbt/Snowflake analytics engineering skills.
Medium because analytics engineering skills transfer, but cloud and infrastructure domain knowledge is required.
High due to mandatory dbt/Snowflake, advanced SQL, Python and analytics engineering experience requirements.
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Design, build, and maintain scalable, modular data models using dbt and Snowflake to support analytics and reporting for Elsevier’s IT and multi-cloud infrastructure.
Translate business and reporting requirements into robust, reusable data models with clear metric definitions and logic.
Lead end-to-end analytics initiatives including data transformation, quality control, documentation, and stakeholder collaboration.
Significant experience in analytics engineering, data transformation, or modern BI engineering roles.
Advanced SQL skills with performance optimization and complex transformations.
Experience building and maintaining data models using dbt in production and working with cloud data warehouses, preferably Snowflake.
Work Experience Required: Not explicitly mentioned in the JD.
Strong expertise in cloud data environments, particularly AWS or equivalent cloud technologies, with focus on technology infrastructure and operations data.
Proven ability to lead technical design discussions and contribute to analytics architecture decisions.
Experience partnering with stakeholders to translate business needs into technical data models and ensuring high data quality with testing frameworks.