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.