Data Analyst / Data Scientist (2-4 years)

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., 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

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