Senior Analytics Engineer II

About Us:

Wrapbook is a smart, intuitive platform that makes production payroll and accounting easier, faster, and more secure. We provide a unified payroll platform that seamlessly connects your entire team—production, accounting, cast, and crew—all in one place. Wrapbook empowers production teams to manage projects, pay cast and crew, track expenses, and generate data-driven insights, while enabling workers to manage timecards, track pay, and onboard to new projects from any device. Wrapbook brings clarity and dependability to production payroll, while increasing the productivity of your whole team.

Trusted by companies of all sizes, Wrapbook powers payroll for some of the industry’s top production companies, including SMUGGLER, Tuff, and GhostRobot. Our growing team of 250+ people across the USA and Canada, including entertainment and technology experts from SAG-AFTRA, DGA, IATSE, Teamsters, Amazon, Microsoft, Facebook, and more. Wrapbook is backed by top-tier investors, including Jeffrey Katzenberg’s WndrCo, Andreessen Horowitz, and A* Capital. We have raised $130M and are in a strong financial position.

The Opportunity - Senior Analytics Engineer II (Remote - USA / CANADA)

Wrapbook is seeking a Senior Analytics Engineer to play a hands-on role in driving our mission to build an outstanding technology company. In this impactful role, you'll transform raw data into high-quality, reliable datasets that provide actionable insights and support data-informed decision-making across Wrapbook. Working within a cross-functional team, you'll develop top-tier data models and products, taking a hands-on approach to building the infrastructure that powers our data strategy.

As a key member of the analytics team, you'll collaborate across departments to ensure essential metrics are accessible, consistent, and aligned with Wrapbook's strategic goals. You'll architect a cohesive data framework and translate it into scalable solutions that support our long-term vision. You'll also help shape the data team's culture by influencing processes, tools, and systems that enable more effective, scalable decision-making throughout the organization.

This role offers a unique opportunity to build upon an infrastructure that enables data to drive innovation and growth, directly contributing to Wrapbook's journey as a technology leader. If you're passionate about using data to shape business strategy and drive success, we invite you to apply and join us on this exciting journey.

What you’ll do:

• 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

What you’ll have:

• 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), deli