

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
💱 - Currency
$ USD
-
💰 - Day rate
280
-
🗓️ - Date
May 5, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#NumPy #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Mathematics #Cloud #Azure #GCP (Google Cloud Platform) #Data Science #TensorFlow #Computer Science #Spark (Apache Spark) #Looker #Pandas #A/B Testing #Data Pipeline #Databases #Statistics #Data Analysis #Hadoop #Data Quality #Python #R #ML (Machine Learning) #Datasets #AWS (Amazon Web Services) #SQL Queries #PyTorch #Tableau #Data Modeling #Big Data #SQL (Structured Query Language) #Visualization #Microsoft Power BI #BI (Business Intelligence) #Consulting
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
• Collect, clean, and analyze large datasets to identify trends, patterns, and insights
• Perform exploratory data analysis (EDA) and statistical analysis to support decision-making
• Develop and deploy machine learning models where applicable
• Create dashboards and reports using BI tools to communicate insights effectively
• Write complex SQL queries to extract and manipulate data from multiple sources
• Collaborate with stakeholders to understand business needs and translate them into analytical solutions
• Monitor data quality and ensure accuracy and consistency across datasets
• Present findings to non-technical stakeholders in a clear and actionable manner
Qualifications
Required
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field
• Experience in data analysis, data science, or a similar role
• Strong proficiency in Python (Pandas, NumPy) or R
• Advanced SQL skills for data querying and transformation
• Experience with data visualization tools such as Tableau, Power BI, or Looker
• Solid understanding of statistics, probability, and data modeling
• Experience working with large datasets and relational databases
Preferred
• Experience with machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch)
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Knowledge of ETL processes and data pipeline development
• Experience with big data tools (Spark, Hadoop)
• Exposure to A/B testing and experimentation
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
• Collect, clean, and analyze large datasets to identify trends, patterns, and insights
• Perform exploratory data analysis (EDA) and statistical analysis to support decision-making
• Develop and deploy machine learning models where applicable
• Create dashboards and reports using BI tools to communicate insights effectively
• Write complex SQL queries to extract and manipulate data from multiple sources
• Collaborate with stakeholders to understand business needs and translate them into analytical solutions
• Monitor data quality and ensure accuracy and consistency across datasets
• Present findings to non-technical stakeholders in a clear and actionable manner
Qualifications
Required
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field
• Experience in data analysis, data science, or a similar role
• Strong proficiency in Python (Pandas, NumPy) or R
• Advanced SQL skills for data querying and transformation
• Experience with data visualization tools such as Tableau, Power BI, or Looker
• Solid understanding of statistics, probability, and data modeling
• Experience working with large datasets and relational databases
Preferred
• Experience with machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch)
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Knowledge of ETL processes and data pipeline development
• Experience with big data tools (Spark, Hadoop)
• Exposure to A/B testing and experimentation






