Crossing Hurdles

Data Analyst | $100/hr Remote | Mercor

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst at $100/hr, remote, for approximately 2 months. Key skills include SQL, Python, and data analytics. A Bachelor's in a quantitative field is required; advanced degree preferred. Flexible commitment of 10-40 hours per week.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
800
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πŸ—“οΈ - Date
December 7, 2025
πŸ•’ - Duration
1 to 3 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#GitHub #Data Exploration #Jupyter #Snowflake #BI (Business Intelligence) #Computer Science #Mathematics #Statistics #JSON (JavaScript Object Notation) #SQL (Structured Query Language) #AI (Artificial Intelligence) #Data Science #Data Interpretation #Datasets #Data Analysis #Pandas #Python #SQL Queries
Role description
At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models. Organization: Mercor Position: Expert Data Scientist Referral Partner: Crossing Hurdles Type: Hourly Contract Compensation: $100/hour Location: Remote Duration: Approximately 2 months Commitment: 10-40 hours per week, flexible and asynchronous Responsibilities: (Training support will be provided) β€’ Analyze large structured datasets provided by partner organizations to support AI model development β€’ Design reasoning-based analytics questions requiring multi-step problem-solving and data interpretation β€’ Write and validate Snowflake SQL queries, using tools such as DuckDB, pandas, or Python notebooks, to address analytical questions β€’ Produce clear, human-readable explanations articulating analytical reasoning and insights β€’ Format deliverables into structured JSON outputs that include question, query, and answer components β€’ Ensure output consistency and quality through collaboration with peers and feedback from reviewers Requirements: β€’ Strong experience in data analytics, data science, or a related quantitative field β€’ Proficiency in SQL and Python, with preferred experience in DuckDB or pandas β€’ Strong skills in data exploration, statistical reasoning, and business intelligence β€’ Experience using analytical tools like iPython, Jupyter Notebooks, and GitHub β€’ Excellent written communication skills with the ability to clearly explain complex reasoning β€’ Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related discipline; advanced degree preferred Application process: (Takes 20 min) β€’ Upload resume β€’ AI interview based on your resume (15 min) β€’ Submit form