PitchMeAI
Jobright.ai

Data Analyst

Jobright.ai · United States

  • On site
  • Contract
  • United States
Tailored resumekeyword-matched to this role.
Hiring managerwe find who's hiring.
Intro emaildrafted to reach them directly.

About the role

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