Senior Data Analyst — Media & Audience Insights (Hybrid NYC)

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

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.