Research Analyst

Pantera Capital; New York (NY); On-site; USD 130,000 - 158,000; Full time

Job summary

SpaceXAI in New York, NY is seeking a Research Analyst to produce financial and market intelligence, build models, and support strategy across advertising initiatives. You will develop dashboards, apply econometric techniques, and collaborate with clients and internal teams to optimize campaigns.

The role requires a Master’s degree with 1 year of related experience, strong Python/R, SQL, and cloud experience; telecommuting within the US is allowed per policy.

Qualifications

• Master’s degree or foreign equivalent in Business, Data Analysis, Administration, or related field.
• 1 year of experience in Data Analyst or related.
• Proficient in Python and R for statistical modeling.
• Experience building dashboards with Tableau and Power BI.
• Experience with cloud platforms (AWS, GCP, Azure).
• Design and execute A/B testing frameworks.
• Machine learning, econometrics, and pricing analyses are valued.
• Strong SQL and BI tooling experience.
• Familiarity with Nielsen/Comscore data sources and data governance.

Responsibilities

• Produce financial and market intelligence by querying data repositories and generating reports.
• Apply mathematical modeling to support management decisions and policy.
• Analyze position in industry and drive revenue strategies.
• Pull and analyze data for ad campaigns and client analyses.
• Develop KPI frameworks and attribution models for marketing campaigns.
• Collaborate with internal teams and external vendors at events.

Skills

Python

R

A/B testing

Machine learning

Econometrics

KPI frameworks

Attribution modeling

Data analysis

Ad analytics

Education

Master’s degree or foreign equivalent in Business, Data Analysis, Administration, or related field

Tools

Tableau

Power BI

SQL

AWS

GCP

Azure

Job description

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. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands‑on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

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. Reference: 00101169

Minimum requirements:

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.

Must have experience with the following:

• 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.

Salary: $129,600–$158,400. per year

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