Crossing Hurdles

Statistical Analyst | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Statistical Analyst contract position, remote, requiring 10-40 hrs/week. Key skills include data analysis, Python or R proficiency, and experience with Tableau or Power BI. Strong statistical and data modeling experience is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
1040
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πŸ—“οΈ - Date
May 12, 2026
πŸ•’ - Duration
Unknown
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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
#Microsoft Power BI #Mathematics #Statistics #Programming #Visualization #Tableau #Data Manipulation #Data Science #Data Modeling #Data Analysis #BI (Business Intelligence) #Libraries #R #Python #Automation #"ETL (Extract #Transform #Load)"
Role description
Position: Data Scientist Type: Contract Location: Remote Commitment: 10-40 hrs/week Role Responsibilities β€’ Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. β€’ Develop, validate, and implement statistical models to extract actionable insights from complex data. β€’ Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. β€’ Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. β€’ Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. β€’ Continuously improve analytical methodologies and automation processes to enhance data workflows. Requirements β€’ Have strong relevant experience in statistics, mathematics, and data analysis techniques. β€’ Have proven experience in collecting, handling, and cleaning large, complex data sets. β€’ Be proficient in programming languages such as Python, R, or similar for data manipulation and modeling. β€’ Possess strong data modeling skills with experience in building and validating predictive models. β€’ Have advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Application Process β€’ Easy Apply on LinkedIn β€’ Check email for next steps β€’ Participate in resume evaluation & interview stage