Sr. Data Analyst

Henderson Scott US; New York (NY); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Henderson Scott US in New York City is seeking a senior data analytics professional for a hybrid role (3 days in NYC per week). You will lead analyses across digital product performance, audience behavior, content, and advertising effectiveness, and build scalable data products using first- and third-party data.

The role emphasizes identity analytics, data storytelling for technical and executive teams, and close collaboration with Data, Product, and Engineering.

Qualifications

• Bachelor's degree in a relevant field is required.
• 5-8 years in data analytics, BI, data science, data engineering, or related role.
• Expert-level SQL with experience in data mining and cloud warehouses (Redshift/BigQuery).
• Experience building dashboards and reports with Looker or Tableau.
• Experience with identity resolution, audience analytics or audience measurement.

Responsibilities

• Lead analyses across digital product performance, audience behavior, content performance, and advertising effectiveness.
• Design and maintain data models, reporting solutions, and dashboards leveraging first- and third-party data.
• Turn recurring analyses into scalable data products used across the company.
• Build reports measuring KPI related to identity resolution, audience segmentation, and content optimization.
• Translate complex data into clear insights and actionable recommendations for technical and exec audiences.
• Partner with Data, Product, Engineering and other teams as a trusted analytics advisor.

Skills

SQL

Data mining

Audience analytics

Identity resolution

Data storytelling

Cross-functional collaboration

Education

Bachelor's degree in a relevant field

Tools

Looker

Tableau

Redshift

BigQuery

Job description

**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**

**NO VISAS/THIRD PARTIES**

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.