Data Analytics Engineer - Marketing Technology

About Us

At Cast & Crew, we’ve empowered creativity and supported the global entertainment industry for decades. Together with our family of brands - Backstage, CAPS, Checks & Balances, Final Draft, Media Services, Sargent-Disc, and The TEAM Companies – we operate as a combined entertainment technology and services provider offering industry standard screenwriting accounting software, digital payroll products, data & reporting, and a host of creative tools.  The industry continues to move faster than ever, and the need for our expertise, our technology, and our people has never been greater.  We are a production’s best ally every step of the way. #OneCastOneCrew

Backstage is the largest talent marketplace for the entertainment industry, media, brand marketers, and other content creators, matching their creative projects with the best actors, voiceover artists, production crew, and other industry professionals. Employers around the world use our best-in-class technology to staff over 50,000 creative projects a year in film, television, commercials, branded content, theater, experiential marketing, and more.

The Role:

Backstage is seeking a Data Analytics Engineer - Marketing Technology with experience in marketplace ecosystems and a passion for working with marketing teams to improve campaign spending and drive personalized communications. You will join our data team, which currently includes two Data Engineers, a Data Scientist, and a Senior Manager, Business Intelligence.The data team is part of the larger Product and Engineering department, which consists of high-performance engineers, designers, product managers, analysts, and quality assurance resources. We value curiosity, trust, and impact, and we foster a culture of constant learning and improvement where teammates work together to accomplish user-focused initiatives in a supportive, democratic, open, and respectful environment. Our teams are experienced, nimble, collaborative and considerate. We go out of our way to make opportunities for everyone to learn and build new skills. 

The data team supports seven businesses within TCS, applying a unified data strategy across all of them. Our data engineering efforts are dedicated to strengthening standardized data assets and reporting which drive business decisions, meticulous high-return market reach, scalable personalized communications, and custom product experience for customers. Every month, we bring together all GMs and key cross-functional stakeholders for a data roadmap meeting, where we collaboratively prioritize the most valuable work for the organization. This process ensures that the projects you work on are always high-impact, aligned with current business needs, and built on a data strategy that delivers continuous, reusable value over the long term.

As our Data Analytics Engineer, you will be working with large-scale, session-level customer and event data to enable user journey analysis, sophisticated attribution modeling, and in-depth behavioral analytics. In this role, you will design and maintain Amplitude and Looker reporting, harmonize multimodal data into a unified layer, and partner with cross-functional teams to drive data-driven decision-making. Your work will enable future AI innovation, revenue optimization, and operational excellence. A major component of this role will include tying behavioral and web metrics to revenue and retention.

The Data Analytics Engineer will report to Backstage’s Senior Manager, Business Intelligence. 
 

What You’ll Do:

• Collaborate with marketing to design, develop and maintain Amplitude and Looker dashboards that track channel mix, campaign performance, segmentation, and ROI to drive informed decisions.

• Transform client-side and server-side track events (i.e., telemetry data) into customer journeys that  aggregate over dynamic windows of time to provide actionable product and marketing insights.

• Instrument new identity and event tracking to support multi-touch, cross-channel attribution and downstream reporting in Amplitude and Looker.

• Define audience segments using Redshift warehouse data (PostgreSQL), enabling personalized marketing across email, ads, and lifecycle campaigns.

• Build and maintain data integration pipelines, including reverse ETL workflows with Hightouch, to connect warehouse data to marketing platforms for activation.

• Document and govern event data and user attributes, ensuring a consistent, single-source Customer 360 profile with clear definitions and semantic consistency across systems