Analytics Engineer

• You will deliver scalable, clean, documented models that abide by best practices and frameworks, helping to aid data discoverability, accessibility, maintenance, reporting and machine learning.
• You will be a key partner with data engineering, machine learning and data science teams, to translate technical requirements into non-technical outcomes and vice versa.
• You will optimise our reporting to reflect consistency in sources of truth, and align stakeholders in your domain on definitions of metrics and dimensions.
• You will act as translator between business and analyst requirements and applications to the data model.
• You will be a data steward, in charge of the governance, maintenance, and scalability of the data model you own, ensuring smooth communication of updates, changes, and downstream impact.
• You will be an expert in our data viz tool, error and data observability tooling, automation, ci/cd, iac, dbt and warehousing (glue/snowflake/spark), and understand and proselytize on best practices and standards when it comes to efficient querying, automation, and computational costs.
• You will practise design thinking when architecting data models, pipelines and automation.
• You will engage with both technical and non-technical stakeholders and team members to define and develop analytical solutions to drive the growth of the business or better attract and retain talent.
• You will collaborate with subject matter experts, data users, and other stakeholders to understand organizational processes and deliver relevant support which could range from dashboarding, data modeling, automation, computation at scale, ci/cd workflows, building agents and onboarding new users.

Analytics Engineer

Analytics Engineer

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