Research Analyst

About SpaceXAI

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. We operate with a flat organizational structure where employees are expected to be hands-on, contribute directly to the company’s mission, and show initiative.

Strong communication and prioritization skills are important. Employees are expected to concisely and accurately share knowledge with teammates.

Research Analyst (X Corp.)

Location: New York, NY
Telecommuting: Telecommuting within the US is permitted pursuant to company policy.

Responsibilities

• Produce financial and market intelligence by querying data repositories and generating periodic reports.
• Formulate and apply mathematical modeling and optimization methods to develop and interpret information that supports management decision-making and policy formulation.
• Analyze the company’s position in the industry and develop strategies to drive revenue.
• Pull and analyze data to determine the company’s position within the industry, including conducting Ad-hoc Client Analyses.
• Drive clients’ key performance metrics and return on ad investment through optimization of ad campaigns.
• Participate in weekly Data Science Center of Action meetings to consult on ongoing projects and share knowledge among MI and A analysts.
• Provide customized measurement products to key clients.
• Conduct research products commissioned to external vendors.
• Represent the company at internal and external events while maintaining relationships with key clients and partners.

Minimum Requirements

• Master’s degree (or foreign equivalent) in Business, Data Analysis, Administration, or a related field.
• 1 year of experience in the job offered (Data Analyst) or a related role.

Must Have Experience With

• 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.

Compensation

Salary: $129,600–$158,400 per year.

Application

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