Analytics Engineer, Moonpig

• Advanced SQL Skills: Exceptional ability in SQL is required for effective data manipulation, analysis, and crafting of complex queries
• Dbt Expertise: Extensive experience with dbt is crucial for designing and maintaining robust data models and transformation processes that are efficient and scalable
• Big Data Systems Proficiency: Knowledge of Snowflake is recommended but experience with other big data systems like BigQuery will be considered. We’re looking for a well-rounded skill set in managing large data environments
• Python Skills: Familiarity with writing clean and efficient code for data manipulation, automation, and integration tasks is beneficial
• Agile and Adaptive: Comfortable working in an agile environment, you should be adept at balancing technical precision with timely project delivery, demonstrating flexibility and effectiveness in a dynamic setting
• Technical Curiosity: Demonstrate a keen interest in continuously enhancing your capabilities in data technologies. This includes potential integration of tools like Metaplane for advanced data flow monitoring and performance optimisations

Desirable

• At Moonpig, we are committed to enabling impactful, data-driven decisions to improve the lives of our customers
• Joining our Data Platform Team means you're at the heart of our mission, transforming raw data into valuable data products that drive our business forward
• As an Analytics Engineer, your role is crucial in shaping our understanding and use of data
• Beyond expert SQL development, you will apply best practices to analytics code, collaborate extensively with stakeholders, and ensure our data systems support robust business decisions
• The role sits within the Analytics Engineering team, which is part of the Data Platform Team, and wider Data function
• The position reports into the Engineering Manager for Analytics Engineering
• Data Transformation Leadership: You own the 'T' in ELT, focusing on delivering clean, transformed data that powers business analytics
• Engage closely with stakeholders to meet their data needs and ensure the reliability and timeliness of data delivery
• Platform Ownership: Manage and govern our primary data platform, Snowflake
• Ensure secure data access and compliance, maintaining high standards of data protection and accessibility
• Data Integrity: Develop and enforce data quality checks, build comprehensive data dictionaries, and conduct tests to guarantee the reliability of our data architecture
• Collaboration and Communication: Work within an agile team environment, liaising between business stakeholders, engineers, and analysts to translate business needs into effective data models
• Your ability to communicate complex technical concepts to non-technical team members is vital