Analytics Lead, Enterprise

Teamwork makes the stream work.

 

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

 

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. While we are well-positioned to help shape the future of television - including TV advertising - around the world, continued success relies on how well we show our advertisers the value we just delivered.

You will play an integral role in building our ad measurement strategy. This includes developing and executing against a wide range of analytics projects to help advertisers across various industries (CPG, Auto, Travel, etc) succeed on Roku. You will work to creatively problem solve and understand business objectives and challenges, while having personal comfort with first-party behavior data, and an entrepreneurial spirit to take ownership of solving challenges for internal and external stakeholders. 

The role demands a highly analytical mindset and strong curiosity to develop and support campaign measurement, and generate new insights for accelerating media investment. Candidates should excel in the technical aspects of analytics, with experience in campaign measurement and the ability to create narratives that provide recommendations and guidance to clients. 

Our environment is fast-paced, requiring the ability to work autonomously with low oversight. You will need to demonstrate excellent problem-solving skills. The right mix of organizational and communication skills is key to success. Attention to detail and a proven ability to manage priorities are also essential. We are looking for people ready to lead by example, collaborate with peers, and partner with colleagues and external partners.  

For New York Only - The estimated annual salary for this position is between $117,000 and $140,000 annually.

Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.
This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Derive insights and synthesize data into succinct narratives to inform client investment strategies and support campaign measurement. 
• Lead quantitative analysis from start to finish, including data analysis, insights generation, visualization, and presentation to stakeholders. 
• Develop, create and enhance first-party measurement solutions to enable campaign measurement and go to market strategy.  
• Consult with key stakeholders to create learning agendas for testing advertising effectiveness. 
• Conduct meta-analyses and create case studies using first-party data to educate clients and internal teams. 
• Collaborate with marketing, sales, client service, product, and partnerships to execute strategic initiatives and develop scalable solutions. 

 

We're excited if you have

• 3+ years' experience in campaign analytics, attribution, measurement, or research, preferably in media (TV, video, digital). 
• Expertise in SQL, Excel, PowerPoint, and basic statistics for preparing analyses. 
• Experience with leveraging large-scale datasets and understanding of databases to derive key findings and answers.  
• Familiarity with causal testing such as A/B testing and incrementality measurement 
• Initiative and curiosity for research exploration.