Senior Analyst

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 Analyst to 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.

(H)