Note: The job is a remote job and is open to candidates in USA. SpaceXAI creates AI systems designed to understand the universe and support humanity’s pursuit of knowledge. The Research Analyst will produce financial and market intelligence, conduct data and client analyses, develop mathematical models and strategies, optimize advertising campaigns, and provide customized measurement products while supporting internal knowledge sharing and client relationships.
Responsibilities
- 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
Skills
- 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
- Applying Python and R for statistical modeling and predictive analytics in business scenarios
- Building interactive dashboards using Tableau and Power BI for real-time insights
- Leveraging cloud-based platforms (AWS, GCP, and Azure) for large-scale data processing
- Designing and executing A/B testing frameworks to evaluate campaign performance
- Implementing machine learning algorithms for trend forecasting and segmentation
- Utilizing econometric techniques for analyzing market dynamics and pricing strategies
- Developing automated reporting systems using SQL and BI tools
- Optimizing advertising campaigns through programmatic platforms and DSPs
- Conducting competitive benchmarking and scenario analysis for strategic planning
- Creating KPI frameworks and attribution models for multi-channel marketing campaigns
- Integrating third-party data sources (Nielsen, Comscore) into analytics workflows
- Ensuring compliance with data governance and security standards for client information
Benefits
- Telecommuting within the US permitted pursuant to company policy.
Company Overview
Company H1B Sponsorship