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# Data Analyst / Data Scientist (2-4 years)

- **Company:** Hudson
- **Location:** Houston, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Amazon Web Services, Data Analysis, Microsoft Azure, Data Visualization, Database Queries, Python (Programming Language), Machine Learning, NumPy, Power BI, Tableau (Software), Unstructured Data, Data Processing, Pandas, Matplotlib, Scikit Learn, Data Analytics
- **Published:** July 26, 2026
- **Apply:** https://www.careerjet.com/jobad/use673bc4d3c2dfd9f86da8debaed710dd

## About the Role

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

## 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., 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


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