Senior Analytics Engineer

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Requirements:

• Experience with relevant tools in data engineering and analytics.
• Sound understanding of the SaaS industry, especially regarding LTV:CAC, Activation levers, and Conversion Rates.
• Ability to approach new projects objectively without bias.
• Great time management skills.
• Excellent written and oral communication skills for summarizing insights and designing data assets.

Responsibilities:

• Design, develop, and maintain essential data models for various business functions to ensure consistency and accuracy.
• Define and implement data engineering standards and best practices, providing guidance to other teams.
• Collaborate with multiple business areas to understand their requirements and deliver scalable data solutions.
• Influence the future direction of analytics infrastructure, offering strategic insights to drive business impact.