You'll collaborate closely with Data Engineering to ensure high-quality, reliable data pipelines while partnering with analytics engineers and analysts to establish and maintain dbt and Looker best practices. As a Staff-level individual contributor reporting to the Senior Director of Analytics, you'll play a key role in shaping Aurora's analytics foundation and enabling data-driven decision-making across the business.
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.
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.
Qualification
Experience supporting Finance
Preferred
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.
