Job Description
- 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.
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