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, remote work location. Key skills include Python, SQL, data visualization, and machine learning. A degree in a related field is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
280
-
πŸ—“οΈ - Date
May 10, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Unknown
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
United States
-
🧠 - 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