# Research Analyst

**Company:** [xAI](https://hotfix.jobs/companies/xai)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $130k – $158k/yr
**Experience:** 1+ years
**Skills:** Python, R, Statistical Modeling, predictive analytics, Tableau, Power BI, AWS, GCP, microsoft azure, A/B Testing, Machine Learning, SQL, programmatic advertising, dsps, attribution models
**Posted:** 2026-08-11

> The Research Analyst produces financial, market, and client intelligence through statistical modeling, dashboards, experimentation, forecasting, and advertising optimization. The role requires a master’s degree and at least one year of related experience, with proficiency in Python, R, cloud platforms, SQL, BI tools, and marketing analytics.

## Job Description

## Responsibilities
- Produce financial and market intelligence by querying data repositories and generating periodic reports.
- Formulate and apply mathematical modeling and optimization methods to support management decision-making and policy formulation.
- Analyze the company’s industry position and develop strategies to drive revenue.
- Conduct ad hoc client analyses and optimize advertising campaigns to improve key performance metrics and return on ad investment.
- Participate in Data Science Center of Action meetings for project consultation and knowledge sharing.
- Provide customized measurement products to key clients.
- Research products commissioned to external vendors.
- Represent the company at internal and external events and maintain business relationships with key clients and partners.

## Requirements
- Master’s degree or foreign equivalent in Business, Data Analysis, Administration, or a related field.
- At least 1 year of experience in the offered role, as a Data Analyst, or in a related role.
- Experience applying Python and R for statistical modeling and predictive analytics in business scenarios.
- Experience building interactive dashboards with Tableau and Power BI.
- Experience using AWS, Google Cloud, and Microsoft Azure for large-scale data processing.
- Experience designing and executing A/B testing frameworks.
- Experience implementing machine learning algorithms for trend forecasting and segmentation.
- Experience using econometric techniques to analyze market dynamics and pricing strategies.
- Experience developing automated reporting systems with SQL and business intelligence tools.
- Experience optimizing advertising campaigns through programmatic platforms and demand-side platforms (DSPs).
- Experience conducting competitive benchmarking and scenario analysis.
- Experience creating KPI frameworks and attribution models for multichannel marketing campaigns.
- Experience integrating third-party data sources, including Nielsen and Comscore, into analytics workflows.
- Experience ensuring compliance with data governance and security standards for client information.

## Compensation
- Salary: $129,600–$158,400 per year.

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