Research Analyst

• Research Analyst (X Corp.; New York, NY): Produce financial and market intelligence by querying data repositories and generating periodic reports
• Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions
• Analyze the company’s position in the industry and develop relevant strategies to drive revenue. Pull and analyze data to determine the company’s position within the industry while conducting Ad-hoc Client Analyses. Drive clients’ key performance metrics and return on their ad investment through optimization of ad campaigns
• Participate in weekly Data Science Center of Action meetings, the purpose of which is consulting on ongoing projects within other teams and knowledge sharing among MI and A analysts. Responsible for providing customized measurement products to key clients. Research products commissioned to external vendors
• Represent the company at internal and external events while maintaining significant business relationships with key clients and partners. Telecommuting within the US permitted pursuant to company policy

Benefits

• Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
• Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
• Flexible vacation: We work hard but avoid burn out. Take time off when you need it
• Visa sponsorship: We support international talent with visa sponsorship to join our team
• 401(k) plan: Retirement savings plan to secure your financial future- Master’s degree or foreign equivalent in Business, Data Analysis, Administration, or in a related field and 1 year of experience in the job offered, Data Analyst, or related
• Leveraging cloud-based platforms (AWS, GCP, and Azure) for large-scale data processing
• Implementing machine learning algorithms for trend forecasting and segmentation
• Ensuring compliance with data governance and security standards for client information
• Applying Python and R for statistical modeling and predictive analytics in business scenarios
• Creating KPI frameworks and attribution models for multi-channel marketing campaigns
• Conducting competitive benchmarking and scenario analysis for strategic planning
• Integrating third-party data sources (Nielsen, Comscore) into analytics workflows
• Utilizing econometric techniques for analyzing market dynamics and pricing strategies
• Building interactive dashboards using Tableau and Power BI for real-time insights
• Optimizing advertising campaigns through programmatic platforms and DSPs
• Designing and executing A/B testing frameworks to evaluate campaign performance
• Developing automated reporting systems using SQL and BI tools