Senior Analytics Engineer II

Job not on LinkedIn

🔥 0 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 CA$148k - CA$203k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Wrapbook

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🛡️ Insurance

📦 Logistics

💰 $100M Series B on 2021-11

Consulting • Insurance • Logistics

Wrapbook is a smart production payroll and accounting platform built by industry veterans for the entertainment industry. It provides a comprehensive suite of services, including fast onboarding, payroll management, cost tracking, production accounting, and real-time reporting, all within an intuitive interface. The platform is designed to efficiently connect producers, accountants, cast, and crew members, enabling them to manage production finances seamlessly. Wrapbook also offers expert services in union compliance, insurance, and employer-of-record payroll. The platform integrates with leading accounting and production tools, making it the versatile choice for feature films, episodic TV, commercials, and more. With significant investment from Bessemer Venture Partners, Wrapbook is focused on accelerating innovation in production finance and payroll solutions.

📋 Description

• Lead development of analytics products and self-serve tools that provide teams with trusted, independent access to data • Own analytics products end to end, including success metrics, schema design, testing, production deployment, data quality, freshness SLAs, and incident resolution • Build and maintain ETL/ELT pipelines and canonical datasets for company-wide analytical workflows • Build and maintain the governed data layer, including semantic models, canonical views, metric definitions, and data contracts • Maintain versioning and backward compatibility for BI and AI consumers • Structure models, definitions, and documentation so data is usable by people and AI agents • Build internal tools that help teams ask data questions and trust the answers • Translate business questions into structured analytical problems and data solutions • Mentor the Analytics team and set standards for testing, dbt CI/CD, monitoring, alerting, automation, runbooks, onboarding, and code review • Partner with Engineering on source schemas, events, system architecture, and reliable warehouse data

🎯 Requirements

• 4+ years in data or analytics engineering • Experience building and operating production pipelines end to end and owning issues when they break • Strong SQL and solid Python • Hands-on experience with ETL and orchestration tools such as Airbyte, Fivetran, Dagster, dbt, or Airflow, including multi-step workflows • Experience with modern data warehouses such as Snowflake, Databricks, or Redshift • Query and performance optimization experience • Strong data modeling skills and understanding of business meaning behind metrics • Experience building governed data layers, including semantic models, canonical views, metric definitions, or data contracts • Experience writing data quality checks using dbt tests, Great Expectations, Pydeequ, or similar • Experience with BI tools such as Omni, Mode, Looker, or Tableau • Experience setting standards for dbt CI/CD, monitoring, alerting, runbooks, and code review • Experience mentoring others on data engineering practices • Track record of evaluating and adopting new data and analytical tools

🏖️ Benefits

• Unlimited Paid Time Off • Work from anywhere in Canada and USA • Health and Dental benefits • Up to $1,500 USD / $2,025 CAD towards IT set up for your home • Up to 2% matching RRSP / 401K • Learning and Development opportunities • Up to $50 USD / $67.50 CAD towards Internet/Cell phone service • Competitive salary • Inclusive and harassment- and discrimination-free workplace