Senior Analytics Engineer II

Summary

Join Wrapbook as a Senior Analytics Engineer II to drive data-informed decision-making across the company, building scalable data models and products that support business strategy and growth.

Requirements

• 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

Responsibilities

• Design, build, and maintain scalable data models, ETL processes, and data warehouses to support growing analytics needs
• Contribute to data team culture by influencing processes, tools, and systems that enable scalable, better decision-making
• Create and maintain BI dashboards, catalog and document data sources, and provide training to foster data democratization, ensuring all teams have access to actionable insights
• Develop and maintain high-quality, accessible data models aligned with business metrics to support exploration, analysis, and decision-making across departments
• Manage data transformations by applying technical processes and business logic to raw data, ensuring clean and usable datasets for analysis
• Collaborate with business partners and analytics teams to address short-term and long-term data needs, fostering alignment and informed decision-making across departments
• Design, implement, and maintain efficient ETL pipelines from various data sources (e.g., Salesforce, Zendesk, Google Analytics to support timely data access

Benefits

• 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