Analytics Engineer, Gopuff

• Bachelor’s in Engineering, Business, Information Systems, or other quantitative discipline
• 4+ years of professional experience architecting and building data models that integrate complex and disparate data sources, using tools such as dbt
• 2+ years of professional experience building, maintaining reporting, and dashboards in various enterprise Business Intelligence platforms, such as Looker
• Expert in SQL and database table design - able to write structured and efficient queries on large data sets
• Experience and strong knowledge in data warehousing concepts, big data technologies, and analytics platforms. Redshift, Azure, and/or Snowflake experience strongly preferred
• Experience working in git workflows
• Excellent communication skills to work with stakeholders to translate business needs and ideas into tractable work items
• Top-notch organizational skills and ability to manage multiple projects in a fast-paced environment
• Move fast, be a team player, always be learning, and give back

Desirable

• Be our go-to data expert and have a deep understanding of our data warehouse and data processing layers
• Partner with data analytics, product managers, engineers, data scientists, and business stakeholders to obtain a holistic understanding of each team’s data needs and translate into infrastructure and tooling that enables a data-driven culture
• Own data integrity, availability, transformation logic, and efficient data access to support the growing needs of the organization
• Identify gaps in existing data, create data product specs, and work with Engineering teams to implement data tracking
• Incorporate automation wherever possible to improve data pipelines and analyses
• Create testing and monitoring systems to ensure data quality and observability
• Build and maintain documentation to ensure data accessibility to all stakeholders