Staff Analytics Engineer

Role Description

In this role, you will partner cross-functionally with Finance, Product, and Go-to-Market teams to design scalable dbt data models, build intuitive Looker dashboards, and integrate data from a variety of SaaS applications. You'll transform complex datasets into trusted insights that guide business decisions, forecasting, and execution.

• Collaborate closely with Data Engineering to ensure high-quality, reliable data pipelines.
• Partner with analytics engineers and analysts to establish and maintain dbt and Looker best practices.
• Play a key role in shaping Aurora's analytics foundation and enabling data-driven decision-making across the business.

Your Impact

• Design, build, and evolve scalable dbt data models that accurately represent company KPIs and business metrics.
• Develop and maintain intuitive Looker dashboards that enable stakeholders to make informed, data-driven decisions.
• Partner with Finance, Product, Go-to-Market, and other cross-functional teams to understand business requirements and translate them into scalable analytics solutions.
• Collaborate with Data Engineering to ensure reliable, high-quality data is available for reporting and analysis.
• Partner with analytics engineers and analysts to establish dbt and Looker best practices, perform quality assurance on data models and dashboards, and support analytics needs across the organization.
• Analyze complex datasets to uncover actionable insights that improve business performance, forecasting, and operational decision-making.
• Help scope, prioritize, and execute analytics initiatives that deliver measurable value across the company.

Qualifications

• 4+ years of experience in analytics, analytics engineering, or a similar data-focused role using SQL to develop data models and generate business insights.
• 2+ years of experience working with dbt and Looker in a production environment.
• Strong experience designing, building, and optimizing scalable dbt models and Looker dashboards based on business and performance requirements.
• Advanced SQL and analytical problem-solving skills, with the ability to independently solve complex data challenges.
• Experience leveraging AI tools to accelerate analysis, troubleshoot data issues, and support complex data modeling workflows.
• Experience owning the end-to-end analytics lifecycle, including data modeling, validation, quality assurance, and delivery of trusted reporting.
• Excellent communication skills with the ability to explain technical concepts and analytical insights to both technical and non-technical stakeholders.
• Demonstrated ability to work cross-functionally, influence stakeholders, and independently drive projects from concept through implementation.

Nice to Haves

• Experience building forecasting models using Python.
• Experience supporting Finance, Revenue Operations, or SaaS business analytics.
• Experience working with modern cloud data warehouses such as Snowflake.
• Familiarity with Fivetran or similar ELT tools.

Benefits

• ️ Flexible PTO - Take the time when you need it
• Parental Leave - 16 weeks with 100% base salary + gradual return to work
• WFH Stipend - An initial $500 (Non-engineers) or $750 (Engineering roles)
• Coworking Stipend - $300 / month if you prefer to be at a coworking facility near you
• ☀️ Energize Fridays - Company-wide days to log off and recharge
• Connectivity Stipend - Up to $100 / month towards internet or phone
• Learning & Development - $720 / annually to use towards professional development (You have to complete 90 days of employment to receive this stipend)
• Medical, Dental, and Vision - Premiums are 100% covered for Aurorans and 90% for dependents