Data Analyst / Data Scientist (2-4 years)
🇺🇸 United States
NumPy
Tableau
Python
AWS
GCP
Azure
Machine Learning
Internship
Data Science
SQL
Analyst
Excel
USD 50000 - 75000 / hour
Data Analyst / Data Scientist (2-4 years)
from 🇺🇸 United States
USD 50000 - 75000 / hour
Job Description:
We are looking forearly-career Data Analytics / Data Science professionals who are passionate about working with data and deriving meaningful insights. Candidates withinternship experience, academic projects, or personal projects are highly encouraged to apply.
This role is ideal for candidates looking to build a strong foundation in data analytics and data science while working on real-world business problems.
Experience: 6 Months – 2/3/4 Years
Employment Type: Full Time W2 Only
Work Authorization:US Citizens Only
Location: Open to Relocation Anywhere in the United States
Key Responsibilities:
Collect, clean, and analyze structured and unstructured data
Develop reports, dashboards, and visualizations to support decision-making
Perform exploratory data analysis (EDA) and identify trends and patterns
Assist in building predictive models and basic machine learning solutions
Work closely with business and technical teams to understand data requirements
Document findings and present insights to stakeholders
Required Skills:
Strong understanding ofSQL
Proficiency inPython orR
Knowledge ofExcel and data manipulation techniques
Familiarity withdata visualization tools (Tableau, Power BI, or similar)
Basic understanding ofstatistics and data modeling concepts
Nice to Have:
Exposure toMachine Learning concepts
Experience withcloud platforms (AWS, Azure, or GCP – basic level)
Hands-on experience throughinternships, academic projects, or personal projects
Knowledge of Pandas, NumPy, Matplotlib/Seaborn, or Scikit-learn
Eligibility Criteria:
US Citizens only
6 months to 2 years of experience (internships & projects count)
Must bewilling to relocate anywhere in the United States
Open to early-career professionals and fresh graduates with strong project work






