Senior Data Analyst Job at Vevo, New York, NY

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  • Vevo
  • New York, NY

Job Description

Vevo is the world's 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.

Vevo has consistently evolved over the past decade to lead within today's 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.

This Senior Data Analyst will continue the expansion of our Data Department. The ideal candidate will have the ability to use tools like Python, SQL, and Looker to sift through large data sets, parse out key trends, and clearly communicate findings to stakeholders.

Major responsibilities of this role include : leveraging statistical analyses and quantitative skills to deep-dive and answer key business questions, automating reporting, developing Looker dashboards, and serving as a key liaison between the data team and other departments. The ideal candidate will have a deep understanding of statistical testing, experimental design, and quantitative approaches to perform complex data analysis and drive impact. This is a unique opportunity for motivated individuals to drive business impact at the intersection of data science and data analytics in a vibrant and dynamic organization.

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As a member of our team, you will:
  • Apply advanced analytics techniques (data mining, data visualization, statistical testing) in SQL and Python to answer complex business problems
  • Develop the back-end data infrastructure, extracting and integrating data from a wide variety of sources to build automated Looker dashboards to convey data, insights, and trends
  • Support complex technical projects, workstreams, and new data initiatives across the data team
  • Build robust data visualizations and interactive dashboards that are capable of delivering information in an intelligent and digestible manner 
  • Lead in developing workflows for data aggregation, and harmonization from multiple endpoints into one single system
  • Ideate and develop new metrics and KPIs to measure content performance
  • Communicate concise data points, trends, and measurement strategies to a broad audience of both technical and non-technical teams
  • Collaborate with other non-technical teams within the business (such as distribution, content, and sales) to develop reporting and rapidly assist in ad hoc requests
  • Partner with Data Science and Data Engineering teams to to deliver data solutions which meet business and technical requirements
  • Synthesize complex findings into clear recommendations for both internal and external client constituents
  • Understand different categories of data and their locations 
  • Adapt and move quickly in a fast paced environment, with a pragmatic approach to analysis

This describes you:
  • A degree from a well-regarded college or university; STEM degrees are preferred
  • 2+ years of hands-on experience doing quantitative statistical analysis
  • An analytical mindset with the ability to communicate findings to others
  • An independent worker with strong time management and organization skills
  • A passionate problem solver with the ability to develop creative solutions
  • A strong team player, willing to roll up your sleeves and collaborate with others in a fast-paced environment
  • A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work

Requirements:
  • Strong quantitative and analytical skills are required, including the ability to analyze raw data, perform statistical testing, identify trend drivers, draw conclusions, and summarize actionable recommendations and their forecasted outcomes/implications
  • Ability to structure and analyze data with SQL and Python
  • Demonstrated ability to manage large datasets and complex analytical projects
  • Strong organizational skills, with the ability to aggregate information and data from multiple sources
  • Experience with Looker or other data visualization/dashboarding tools
  • Expertise in Microsoft Excel and PowerPoint
  • Excellent verbal and written communication skills, with ability to convey and package technical findings in layman’s terms
  • Experience multi-tasking in a fast-paced environment is a plus

Interested? Great! You might like to know:
  • We're a fun, energetic, and tight knit team
  • We really enjoy music and technology
  • We offer competitive compensation and benefits packages
  • We have premier access to music content and new releases of original media content - not to mention live Vevo-produced musical performances

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$85,000 - $98,000 a year

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The pay range for this position is: $85,000 – $98,000 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.

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.

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. 

Job Tags

Full time, Work at office, Local area, Worldwide, 3 days per week,

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