Job Overview
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Job Description
About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Artifact Expert — Data Analyst
Type: Contract
Compensation: $80–$120/hour
Location: Remote
Role Responsibilities
- Review existing analytics slides, SQL/Python notebooks, and sheets. Provide detailed, constructive feedback to enhance clarity and accuracy.
- Create original analytics artifacts such as insight decks, ad-hoc analyses, and A/B-test write-ups. Ensure high standards of analytical rigor.
- Annotate and comment on artifacts to improve structure and narrative. Elevate the analytical rigor of each piece.
- Apply data-analysis expertise to ensure artifacts reflect realistic, high-quality professional output.
- Work independently and asynchronously to deliver consistent, high-quality work on a flexible schedule.
Qualifications
Must-Have
- 4+ years of professional experience in data analysis, analytics engineering, or data science.
- Comfortable with SQL, Python or R, and presenting findings to non-technical stakeholders.
- Strong attention to detail and written communication.
- Self-directed; can deliver consistent, high-quality work on a flexible schedule.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Key skills/competency
- Data Scientist
- Data Analysis
- Analytics Engineering
- Data Science
- SQL
- Python
- R
- A/B Testing
- Insight Decks
- Communication
How to Get Hired at Mercor
- Customize your resume: Highlight your 4+ years of data analysis, analytics engineering, or data science experience, focusing on SQL, Python/R, and stakeholder communication.
- Prepare for the AI interview: Be ready to discuss your analytical projects and how you present findings to non-technical audiences.
- Showcase attention to detail: Emphasize your ability to provide constructive feedback and ensure high analytical rigor in your work.
- Demonstrate self-direction: Highlight your capacity to work independently and deliver consistent, high-quality results on a flexible schedule.
- Apply promptly: Complete all application steps, including the AI interview, as applications are reviewed daily.
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