Jobright.ai

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a contract length of "unknown," offering a pay rate of $35/hr - $40/hr. Key skills include proficiency in Python or R, advanced SQL, and experience with BI tools. A degree in a related field is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
280
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πŸ—“οΈ - Date
May 11, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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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
#Hadoop #Visualization #Data Pipeline #Cloud #Consulting #A/B Testing #Microsoft Power BI #PyTorch #Computer Science #SQL (Structured Query Language) #Azure #Mathematics #"ETL (Extract #Transform #Load)" #NumPy #Looker #AI (Artificial Intelligence) #Data Modeling #Statistics #Datasets #Big Data #R #Data Quality #Tableau #Data Science #ML (Machine Learning) #Data Analysis #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #SQL Queries #Databases #Spark (Apache Spark) #TensorFlow #BI (Business Intelligence) #Python #Pandas
Role description
This role is part of the Jobright Direct Hiring Network, where top companies like Cresta AI, Plaud, Mercor, OpenArt, and 1,500+ others hire top talent directly through our platform. Hiring Company: Matricstek Inc. One-liner: Matricstek Inc. is a US-based IT consulting and employment solutions firm focused on bridging the gap between skilled professionals and industry opportunities. Salary: $35/hr - $40/hr Why Join Us: Role Responsibilities β€’ Collect, clean, and analyze large datasets to identify trends, patterns, and insights β€’ Perform exploratory data analysis (EDA) and statistical analysis to support decision-making β€’ Develop and deploy machine learning models where applicable β€’ Create dashboards and reports using BI tools to communicate insights effectively β€’ Write complex SQL queries to extract and manipulate data from multiple sources β€’ Collaborate with stakeholders to understand business needs and translate them into analytical solutions β€’ Monitor data quality and ensure accuracy and consistency across datasets β€’ Present findings to non-technical stakeholders in a clear and actionable manner Qualifications Required β€’ Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field β€’ Experience in data analysis, data science, or a similar role β€’ Strong proficiency in Python (Pandas, NumPy) or R β€’ Advanced SQL skills for data querying and transformation β€’ Experience with data visualization tools such as Tableau, Power BI, or Looker β€’ Solid understanding of statistics, probability, and data modeling β€’ Experience working with large datasets and relational databases Preferred β€’ Experience with machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch) β€’ Familiarity with cloud platforms such as AWS, Azure, or GCP β€’ Knowledge of ETL processes and data pipeline development β€’ Experience with big data tools (Spark, Hadoop) β€’ Exposure to A/B testing and experimentation