THIS IS A HYBRID ROLE IN NYC (3X A WEEK) - DO NOT APPLY IF YOU ARE UNABLE TO ADHERE TO THE SCHEDULE - RELOCATION WILL NOT BE PROVIDED CANDIDATES COMING FROM THE MEDIA AND ENTERTAINMENT SPACE ARE STRONGLY PERFERRED Key Responsibilities: Lead Data Analysis: Develop and execute analyses across digital product performance, audience behavior, content performance, and advertising effectiveness.
Build Scalable Data Products: Design, develop, and maintain robust data models, reporting solutions, and dashboards leveraging both first-party and third-party datasets.
Turn Ad Hoc Analysis into Products: Identify recurring business requests and transform them into repeatable, scalable data products that can be leveraged across the organization.
Audience & Identity Analytics: Build reports and dashboards measuring KPIs related to identity resolution initiatives, audience segmentation, targeting strategies, and content optimization.
Data Storytelling: Translate complex datasets into clear insights, visualizations, and recommendations for both technical teams and senior/executive stakeholders.
Cross-Functional Partnership: Serve as a trusted analytics partner to Data, Product, Engineering, and other business teams across the organization.
Qualifications:
Bachelor's degree in a relevant field.
5-8 years of experience within data analytics, business intelligence, data science, data engineering, or a related data-focused role.
Expert-level SQL skills, including extensive experience with data mining and large-scale cloud data warehouses such as Redshift or BigQuery.
Advanced experience building reports, dashboards, and visualizations using tools such as Looker or Tableau.
Experience developing, implementing, or utilizing identity resolution, audience analytics, or audience measurement solutions.
Strong ability to translate complex data into actionable business recommendations and compelling stories.
Proven ability to manage multiple priorities, lead cross-functional initiatives, and influence stakeholders across different levels of an organization.
Familiarity with the digital media, publishing, or advertising ecosystem is strongly preferred.
Exposure to media research and measurement platforms such as Nielsen or Comscore is beneficial.
Understanding of CTV, digital advertising, programmatic media, audience targeting, and cross-platform measurement is highly valuable.
