

Jobright.ai
Data Analyst
β - 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, remote work location. Key skills include Python, SQL, data visualization, and machine learning. A degree in a related field is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
280
-
ποΈ - Date
May 10, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#R #TensorFlow #Looker #Microsoft Power BI #Azure #Pandas #Statistics #Tableau #Hadoop #PyTorch #Data Quality #Datasets #BI (Business Intelligence) #AWS (Amazon Web Services) #SQL Queries #Visualization #SQL (Structured Query Language) #GCP (Google Cloud Platform) #A/B Testing #Data Science #Databases #Data Analysis #ML (Machine Learning) #AI (Artificial Intelligence) #Consulting #Big Data #Data Modeling #Python #Data Pipeline #Mathematics #Spark (Apache Spark) #Cloud #"ETL (Extract #Transform #Load)" #Computer Science #NumPy
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
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






