<div>Vevo is the worlds leading music video network, connecting an ever-growing global audience to high quality music video content for more than a decade. Founded by Universal Music Group and Sony Music Entertainment in 2009, Vevo offers fans worldwide a vast array of premium content to choose from, showcasing official music videos alongside a constantly developing lineup of live performances and innovative original programming. From top superstars to rising new talents, Vevo brings incomparable cross-promotional support to artists across the musical spectrum, at every stage of their careers.</div><div><br /></div><div>Vevo has consistently evolved over the past decade to lead within todays ever-changing media landscape, embracing partnerships with a number of leading distribution platforms to deliver extraordinary content within ad-supported environments. With more than 25B views across television, desktop and mobile devices each month, Vevo brings music videos to the world – when, where, and how fans want them.  </div><div><br /></div><div><br /></div><div><span>This Senior Manager of Data Analytics will continue the expansion of our Data Analytics Department. The ideal candidate will have the ability to use tools like Python, SQL, and Looker to lead projects, sifting through large data sets, parsing out key trends, and clearly communicating findings to stakeholders. Major responsibilities of this role include automating reporting, building dashboards in Looker, communicating requirements to data engineering, and expanding relationships with other departments to help enable data driven business decisions. This role requires a combination of hands-on technical prowess, leadership abilities, and a deep understanding of data analysis to effectively manage data projects and lead a team of analysts. This is a unique opportunity for motivated individuals to help drive innovation and thought leadership throughout a vibrant and dynamic organization.</span></div><h3>As a member of our team, you will:</h3><ul><li>Lead the development of comprehensive revenue analytics, focusing on key performance indicators (KPIs) to track progress against goals and identify revenue growth opportunities.</li><li>Own the creation and enhancement of the back-end data infrastructure, extracting and integrating data from a wide variety of sources into Redshift to build automated Looker dashboards to convey data, insights, and trends</li><li>Understand different categories of data and their locations </li><li>Communicate concise data points, trends and measurement strategies to a broad audience of both technical and non-technical teams</li><li>Collaborate with other non-technical teams within the business (such as finance, ad operations and sales) to develop reporting and assist in ad hoc requests</li><li>Build robust data visualizations and interactive dashboards that are capable of delivering information in an intelligent and digestible manner </li><li>Partner with Data Science and Data Engineering teams to to deliver data solutions which meet business and technical requirements</li><li>Peel through layers of reported data, to deliver analysis and insight to both internal and external client constituents</li><li>Adapt and move quickly in a fast paced environment, with a pragmatic approach to analysis</li><li>Mentor junior analysts and manage their professional development</li></ul><h3>This describes you:</h3><ul><li>A deeply analytical mindset with the ability to communicate findings to others</li><li>An independent worker with strong time management and organization skills</li><li>A problem solver with the ability to develop creative solutions</li><li>A strong team player, willing to roll up your sleeves and collaborate with others</li><li>Detail oriented with a commitment to follow through</li></ul><h3>Requirements:</h3><ul><li>5+ years experience</li><li>Strong technical skills are required, including quickly identifying and implementing use cases for automation, data modeling, and deeper analytics using Python and <a href="http://SQL.Strong">SQL.</a></li><li>Strong analytical skills are required, including the ability to analyze raw data, identify trend drivers, draw conclusions, and summarize actionable recommendations and their forecasted outcomes/implications</li><li>Familiarity with Redshift and AWS or strong other experience modeling within and querying from a data lake</li><li>Experiencing owning major projects as an end to end individual contributor, from ideation to implementation to communicationFamiliarity analyzing data within CRM, OMS, or pricing systems (e.g. Salesforce, Boostr, Hubspot) and sales performance metrics is a big plus</li><li>Demonstrated ability to manage large datasets and complex analytical projects</li><li>Strong organizational skills, with the ability to aggregate information and data from multiple sources</li><li>Experience with Looker or other data visualization/dashboarding tools</li><li>Excellent verbal and written communication skills, with ability to convey and package technical findings in layman’s terms</li></ul><h3>Interested? Great! You might like to know:</h3><ul><li>Were a fun, energetic, and tight knit team</li><li>We really enjoy music and technology</li><li>We offer competitive compensation and benefits packages</li><li>We have premier access to music content and new releases of original media content - not to mention live Vevo-produced musical performances</li></ul><div>The pay range for this position is: $150,000– $168,000 per year. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Transparency Law.</div><div><br /></div><div>This is a full-time position based on-site/in our New York office. Vevo currently operates in a hybrid work model and requires all employees, who have not been designated as remote to be in the office/studio a minimum of 3 days a week.</div><div><br /></div><div>Vevo considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, age, disability, genetic information, veteran status, or any other legally protected status under local, state, or federal law. </div>