Data Editor Salary at Alpha Factor BETA
How much does an Alpha Factor Data Editor make?
As of August 2026, the average salary for Data Editor at Alpha Factor in the United States is $138,908 per year, which is equivalent to an hourly rate of approximately $67. Most salaries for this position fall within the range of $126,333 to $150,512 annually.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
How much does Alpha Factor pay for other job roles?
View detailed salary information by job role at Alpha Factor. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
Head of Operations
$283,137 / year
Salary Range: $233,862 - $341,001
Operations
Executive
$258,382 / year
Salary Range: $223,586 - $307,786
Digital
Corporate Controller
$222,717 / year
Salary Range: $189,228 - $256,515
Finance
Senior Vice President
$190,426 / year
Salary Range: $163,454 - $218,790
Government Affairs
Corporate Counsel
$151,243 / year
Salary Range: $136,119 - $165,598
Legal
Manager, Planning
$137,615 / year
Salary Range: $123,275 - $150,437
Strategic Planning
Manager, Product Development
$123,141 / year
Salary Range: $107,933 - $139,426
Product Development
Manager, Commercial
$116,979 / year
Salary Range: $100,459 - $134,699
Sales
Brand Manager
$115,213 / year
Salary Range: $101,557 - $142,956
Product and Brand Management
Manager, Human Resources
$105,201 / year
Salary Range: $94,173 - $116,274
Human Resources
Line Coordinator
$104,391 / year
Salary Range: $88,241 - $118,019
Production
Key Skills & Their Impact on a Data Editor at Alpha Factor?
To succeed and maximize your earning potential as a Data Editor at Alpha Factor, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| Data Science | Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. | |
| Machine Learning | Using mathematical models, data, and algorithms to help a computer learn without direct instruction. | |
| Analysis | Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it. | |
| Python |
Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
|
|
| Insight |
Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
|
Data Editor Career Path and Growth Opportunities
Understanding the career path for a Data Editor can help you plan long-term professional growth. Below is a typical career progression for a Data Editor, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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FAQ about Salary and Jobs at Alpha Factor
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