Revenue Analytics & Insights Analyst
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Job Location:
New York City, NY - USA
Yearly Salary:
$ 90000 - 130000
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 weve 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 youll make a valuable - and valued - contribution. Were 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
Were seeking an Analyst to join our Revenue Analytics & Insights team to play a critical role in supporting Rokus Ad Sales business. This role will provide internal support for Rokus Agency Partnerships team which manages relationships with our largest agency this role youll leverage data to support strategy & planning internal business reviews and regular KPI reporting to drive success with our agency partnerships. The analyst should have experience working at or with agency holding companies and supporting Upfront negotiations (or comparable long-term deals). This role requires strong analytical skills and a deep knowledge of the media/OTT space; the analyst should bring familiarity with deal frameworks within the media and advertising landscape particularly with publisher and agency relationships. The analyst should have a propensity to turn data into compelling analysis and driveactionable insights andrevenue growth.
This position is located at our office in New YorkCity and will report to the Manager Revenue Analytics and Insights.
For New York Only - The estimated annual salary for this position is between $90000 and $130000 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 incentive compensation/commissions health insurance equity awards life insurance disability benefits parental leave wellness benefits and paid time off.
What youll be doing
- Quantify the impact of the sales strategy for our agency partnerships team; measure the success of strategies aimed at driving long-term growth and provide clear recommendations for changes in strategy or alternate approaches when appropriate
- Build data-driven reporting to support the agency partnerships team
- Provide an informed perspective on opportunities and threatswithin the broader advertising market; work closely with stakeholders to make recommendations on strategies needed to ensurewere ahead of the curve
- Partner with sales leadership touncover keyopportunities to drive revenue; provide reporting totrack outcomes around these opportunities.
- Design maintain and scale dashboards using Excel and Tableau and self-serve data products for on-demand insights
- Craft and deliver account-specific quarterly business reviews for sales leadership that help us understand trends and patterns.
- Optimize our data model to ensure that we are able to track key customers and their attributes in the most scalable way possible; draw recommendations around new data sets needed to complement the tools and data that we currently have
- Take a focused but not siloed approach working in partnership with the larger Revenue Operations to push forward strategic initiatives that span our core pillars.
Were excited if you have
- Ability to use data to tell a story; comfortable preparing & presenting executive-level materials.
- Advanced Excel capabilities including advanced use of pivot tables
- Working experience with one or many BI/Visualization tools such as Tableau or Lookeras well as some exposure to SQL and joining data across multiple datasets
- Understanding of datahierarchiesand relationships and how they relate to business metrics and KPIs.
- Experience building financial models leveraging historical data and forward-looking assumptions
- Fluent in media-math (CPMs impressions reach share-of-voice)
- High degree of drive and self-motivation and comfort working autonomously
- Strong interpersonal and communication skills; comfort working at all levels of a salesorganization
- Thrive in a dynamic work environmentexhibitingability to be flexible anda strong teamplayer
- Excellent organizational and prioritization skills with attention to detail and ability to work on many tasks concurrently
- Eagerness to work in a start-up team environment that will be rapidly changing and often presents ambiguous situations
Experience/Qualifications
- 3-5 years experiencein revenue operations sales operations FP&A ormarket intelligence positions within the media industry
- Direct experience partnering with sales or other GTM teams
- Experience supporting Upfront negotiations or other long-term deal cycles
- Highly fluent in the OTT space; experience with Programmatic ecosystem is a bonus
- Working knowledge of sales terminology and metrics
- College degree
#LI-SR3
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical dental and vision) life accident disability commuter and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. Its important to note that not every benefit is available in all locations or for every role. For details specific to your location please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process please direct your inquiries to .
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the companys success rather than their own. We try to surround ourselves with people who are great at their jobs who are easy to work with and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. Were independent thinkers with big ideas who act boldly move fast and accomplish extraordinary things through collaboration and short at Roku youll be part of a company thats changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers which itself is a two-part idea. We come up with the solution but the solution isnt real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation one that has served us well since 2002.
To learn more about Roku our global footprint and how weve grown visit providing your information you acknowledge that you want Roku to contact you about job roles that you have read Rokus Applicant Privacy Notice and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future you may unsubscribe at any time by emailing .
Required Experience:
IC
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
