Data Analyst / Data Scientist (2-4 years)
Summary
Early-career role collecting, cleaning, and analyzing data to build reports, dashboards, and basic predictive models using SQL, Python/R, and visualization tools.
Job Description:
We are looking for early-career Data Analytics / Data Science professionals who are passionate about working with data and deriving meaningful insights. Candidates with internship 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 of SQL
Proficiency in Python or R
Knowledge of Excel and data manipulation techniques
Familiarity with data visualization tools (Tableau, Power BI, or similar)
Basic understanding of statistics and data modeling concepts
Nice to Have:
Exposure to Machine Learning concepts
Experience with cloud platforms (AWS, Azure, or GCP – basic level)
Hands-on experience through internships, 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 be willing to relocate anywhere in the United States
Open to early-career professionals and fresh graduates with strong project work