Analytics Engineer II

August 1

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Ollie

Premium Pet Food β€’ Home Delivery β€’ Healthy Food β€’ Direct to Consumer

Description

β€’ Design and implement analytical data models using SQL in dbt and Snowflake, focusing on accuracy, performance, and scalability for our eCommerce business β€’ Own and maintain the semantic layer of our data modeling, defining and managing metrics, dimensions, and joins to ensure consistent and accurate reporting across the organization β€’ Collaborate with the Analytics team to understand their data needs and translate them into effective data models and metrics β€’ Own the implementation and maintenance of our Segment tracking plan, ensuring comprehensive and accurate event tracking across our digital properties β€’ Support the Product team in their use of Mixpanel for event analysis, ensuring alignment between Segment data and Mixpanel insights β€’ Develop and maintain self-service analytics strategies for Lightdash and Looker, empowering business users to access insights independently from our team β€’ Assist in documenting data lineage, definitions, and usage guidelines to promote data literacy across the organization β€’ Collaborate with the Sr. Data Engineer and Sr. Machine Learning Ops Engineer to ensure analytics infrastructure aligns with broader data platform initiatives

Requirements

β€’ 3+ years of experience in analytics engineering, data engineering, or a related field, preferably in an eCommerce or subscription-based business β€’ Strong proficiency in SQL and experience with dbt, with a focus on dimensional modeling for business intelligence β€’ Hands-on experience with Snowflake or similar cloud data warehouses, and familiarity with data pipeline development β€’ Expertise in Segment implementation, including structuring tracking plans and designing event properties for comprehensive analytics β€’ Familiarity with event analytics tools like Mixpanel, and an understanding of how to align event data across platforms β€’ Experience with business intelligence tools such as Lightdash, Looker, or similar platforms for creating self-service analytics dashboards β€’ Solid understanding of eCommerce metrics and KPIs, and how to model data to support their calculation and analysis β€’ Strong analytical and problem-solving skills, with the ability to translate business questions into data models and queries β€’ Proactive and self-motivated, with the ability to manage projects and priorities in a fast-paced environment β€’ Enthusiasm for learning and adapting to new technologies and methodologies in the rapidly evolving field of data analytics β€’ This is not a checklist, so if you don’t have all of these, apply anyway!

Benefits

β€’ Competitive salary and a stake in the company β€’ Sponsored 401k program with employer match up to 4% β€’ Comprehensive health coverage including medical, dental and vision β€’ Unlimited vacation policy that you're encouraged to use β€’ Paid parental leave β€’ 1-week paw-ternity leave for new dog parents β€’ Free Ollie subscription β€’ Inspiring pack members!

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