Senior Analytics Engineer

Posted 4 months agoViewed

💎 Seniority level: Senior

📍 Location: United States

🔍 Industry: SaaS

🏢 Company: Apollo.io👥 501-1000💰 $100,000,000 Series D over 1 year agoSoftware Development

🗣️ Languages: English

🪄 Skills: Business IntelligenceSnowflakeStrategyData engineeringCommunication SkillsCollaborationCross-functional collaborationData modeling

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.

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.

Posted 25 days ago

📍 Germany, India, USA

🧭 Full-Time

🔍 Customer relationship management (CRM)

🏢 Company: HubSpot👥 1001-5000💰 $35,000,000 Series E over 12 years ago🫂 Last layoff about 1 year agoSaaS Analytics Marketing Copywriting Social Media

🔧 Requirements

Several years of hands-on SQL experience and expertise in relational databases and data modeling.
Strong organizational skills and the ability to document technical designs.
Proven communication skills to effectively bridge gaps between business leaders, engineers, and data scientists.
Experience in distilling complex information for both executives and front-line representatives.
Creative problem-solving abilities for flexible solutions to business questions.
Demonstrated curiosity and willingness to learn new technologies.
Experience with Snowflake, dbt, and/or Looker is preferred.

💡 Responsibilities

Collaborate with technical and non-technical teams to connect business and technical solutions.
Build scalable data models to analyze key business components.
Maintain technical best practices in data infrastructure and contribute to long-term data strategies.
Support operations teams in using foundational data models for reporting purposes.
Conduct complex root cause analyses and implement preventive recommendations.
Expand dbt patterns and macros for flexible data structures.
Scope requirements with stakeholders and guide projects throughout their lifecycle with clear roadmaps.
Mentor others to foster an inclusive and diverse team environment.

SQLData AnalysisSnowflakeData modeling

Posted 25 days ago