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Sr. Data Analyst

Job in New York, New York County, New York, 10261, USA
Listing for: Henderson Scott US
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: New York

** 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 Big Query.
  • 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.
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