Senior Analyst

Avispa Technology

New York (NY)

On-site

USD 45,000 - 65,000

Part time

14 days+
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Benefits offered by this job

Group Medical
Dental
Vision
Life Insurance
Retirement Savings Program
PSL

Job summary

Avispa Technology, on behalf of a leading digital streaming network, seeks a Senior Analyst to support audience research and reporting across streaming and television. This 9-month onsite assignment is in New York, NY 10036, with an hourly pay of $40 and a 40-hour workweek.

The role emphasizes building dashboards, analyzing Nielsen N-Power and Comscore data, and delivering insights to senior leadership. 1–2 years in analytics, a bachelor’s degree, and familiarity with Python/SQL/R are preferred.

Qualifications

  • 1-2 years of research, analytics, or audience insights experience.
  • Bachelor's degree or higher, or equivalent experience.
  • Experience with syndicated audience research databases is preferred.
  • Proficiency with Tableau, Domo, or similar visualization tools.
  • Strong MS Office, especially Excel and PowerPoint.
  • Experience with third-party research data.

Responsibilities

  • Prepare weekly, monthly, and quarterly audience reports for stakeholders by analyzing proprietary and syndicated data.
  • Build and maintain executive dashboards using Tableau, Domo, and other tools.
  • Analyze viewing trends across streaming, TV, VOD, and multi‑platform media using Nielsen N-Power, Comscore, etc.
  • Collaborate with cross-functional teams to communicate insights clearly.
  • Manage multiple priorities and deliver accurate analyses and presentations for senior leadership.

Skills

Research analytics
Audience insights
Excel & PowerPoint
Data storytelling

Education

Bachelor's degree or higher

Tools

Tableau
Domo
Nielsen N-Power
Comscore
Lake5
Python
SQL
R

Job description

Senior Analyst PMOUNTJP00001569

  • Hourly pay: $40/hr
  • Worksite: Leading digital streaming network (New York, NY 10036 - Onsite)
  • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
  • 40 hours/week, 9 Month Assignment (With possibility of extension)

A leading digital streaming network seeks a Senior Analystto support audience research and reporting across the streaming and television landscape.

Senior Analyst Responsibilities:
  • Prepare weekly, monthly, and quarterly audience reports for corporate stakeholders by analyzing proprietary and syndicated audience research data and delivering actionable insights on viewing trends.
  • Build, maintain, and enhance executive dashboards using Tableau, Domo, and other data visualization tools while partnering with leadership to support reporting initiatives.
  • Analyze company and industry viewing trends across streaming, television, video-on-demand, and multi-platform media using syndicated research sources, including Nielsen N-Power and Comscore, and perform ad hoc research to support business initiatives and competitive claims.
  • Collaborate with cross-functional teams to improve the communication of audience insights, industry developments, and research findings while supporting ongoing reporting and analytics projects.
  • Manage multiple priorities independently and collaboratively while producing accurate analyses, presentations, and deliverables for senior leadership.
Senior Analyst Qualifications:
  • 1-2 years of research, analytics, or audience insights experience, preferably within the media or entertainment industry.
  • Bachelor's degree or higher, or equivalent experience.
  • Experience working with syndicated audience research databases such as Nielsen N-Power, Comscore, or similar platforms.
  • Proficiency with Tableau, Domo, or similar data visualization tools.
  • Strong Microsoft Office skills, including advanced Excel and PowerPoint.
  • Experience working with third-party research data.
  • Familiarity with the SVOD and FAST/AVOD landscape is preferred.
  • Experience with Lake5 is preferred.
  • Knowledge of or willingness to learn Python, SQL, R, or other data analysis tools is preferred.
  • Ability to translate complex data into clear, meaningful insights is preferred.
Shift:
  • 9:00 AM to 5:00 PM.
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