Data Analyst / Data Scientist (2-4 years)

hudsonmanpower; Houston (TX); On-site; USD 55,000 - 85,000; Full time

Job summary

hudsonmanpower is seeking early-career Data Analytics / Data Science professionals in the United States. The role targets candidates with internship experience, academic projects, or personal projects who want to build a strong foundation in data analytics while tackling real-world business problems.

Open to relocation anywhere in the United States, with 6 months to 2 years of experience. Full-time W2 employment is offered and US citizenship is assumed for work authorization.

Qualifications

• 6 months to 2 years of experience (internships & projects count).
• Strong foundation in data analytics and data science concepts.
• Proficiency in SQL and at least one programming language (Python or R).
• Experience building reports, dashboards, and visualizations.

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.

Skills

SQL

Python

R

Excel

Data visualization tools

Tools

Tableau

Power BI

Job description

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
E

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