November 5
• Wrapbook is seeking a Senior Analytics Engineer to transform raw data into high-quality datasets. • Develop data models and infrastructure, supporting data-informed decision-making across departments. • Collaborate with analytics teams to ensure metrics align with strategic goals and contribute to company growth. • Manage data transformations and ensure clean datasets for analysis, shaping the data team's culture.
• 3+ years of experience building and optimizing data pipelines, architectures, and datasets that drive business value • Desire to continuously learn and incorporate the latest tech and analytical tools into our tech stack • Exceptional communication skills, with the ability to translate technical concepts into easily understandable language for stakeholders • Strong organizational and time management skills, with a proactive, self-motivated approach to adapting in a fast-paced, evolving startup environment focused on iterative technical solutions • Extensive knowledge of data modeling, warehousing, and ETL processes, with strong SQL skills and expertise in code-based ETL frameworks like dbt, ensuring code reusability and processing efficiency • Proficient in Python, with experience in building and deploying predictive models • Familiarity with the modern data stack, including hands-on experience with tools such as Fivetran, Snowflake, dbt, Looker, Hightouch, or similar platforms • Experience with BI tools (e.g., Mode, Looker, Tableau, or similar), delivering data insights through reports and dashboards that drive business decisions • Proficiency with cloud platforms (AWS, Azure, or Google Cloud) and relational databases (e.g., MySQL, PostgreSQL) • Degree in Computer Science, Mathematics, or a related field preferred
• Unlimited Paid Time Off • Work from anywhere in Canada and USA • Health and Dental benefits • Up to $1500 towards IT set up for your home • Up to 2% matching RRSP / 401K • Learning and Development opportunities • Up to $50 USD/ $66.50 CAD towards Internet/Cell phone service
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