Research Analyst

Xai
New York, NY
RemoteCareer-pivot friendly

Who this role is best for

Aimed at mid-level analysts with strong technical and strategic capabilities who thrive in collaborative, flat-structured environments.

Best fit for

  • Mid-level analysts with a master's degree and experience in predictive analytics and campaign optimization
    — “Master’s degree or foreign equivalent in Business, Data Analysis, Administration, or in a related field and 1 year of experience
  • Candidates who can bridge data science and business strategy with hands-on execution
    — “Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision making
  • Individuals who can contribute to cross-functional knowledge sharing and provide actionable insights
    — “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

Things to consider

  • Telecommuting within the US is permitted, but the role may require in-person collaboration in New York
    — “Telecommuting within the US permitted pursuant to company policy
  • The role demands a broad technical skill set across multiple platforms and methodologies
    — “Leveraging cloud-based platforms (AWS, GCP, and Azure) for large-scale data processing

How to stand out

  • Highlight experience with A/B testing and campaign optimization in your resume and interview responses
    — “Designing and executing A/B testing frameworks to evaluate campaign performance
  • Demonstrate your ability to integrate third-party data sources and build interactive dashboards
    — “Building interactive dashboards using Tableau and Power BI for real-time insights
  • Showcase your work with econometric techniques and market analysis in your portfolio or case studies
    — “Utilizing econometric techniques for analyzing market dynamics and pricing strategies
  • Emphasize your experience creating KPI frameworks and attribution models for multi-channel campaigns
    — “Creating KPI frameworks and attribution models for multi-channel marketing campaigns
  • Demonstrate your ability to communicate complex analytics insights clearly and concisely
    — “They should be able to concisely and accurately share knowledge with their teammates
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • accurate financial and market intelligence
  • optimized ad campaigns
  • enhanced client performance metrics
Typical background
Master’s degree in Business, Data Analysis, Administration, or related field

Skills & requirements

Required

PythonRStatistical ModelingPredictive AnalyticsCloud-based PlatformsA/B TestingMachine LearningEconometric TechniquesSQLProgrammatic PlatformsCompetitive Benchmarking

Preferred

Data GovernanceData Security

Stack & domain

PythonRTableauPower BIAWSGCPAzureA/B TestingMachine LearningEconometric TechniquesSQLProgrammatic PlatformsDspsNielsenComscore

About the role

Original posting from Xai via Greenhouse

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

To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position. 

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Source: Xai careers (Greenhouse)

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