Data Analyst / Data Scientist (Early Career)
full-time•Houston, San Jose, New York, Atlanta
About this role
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 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
What you'll do
- The Data Analyst/Data Scientist will collect, clean, and analyze both structured and unstructured data while developing reports and visualizations to support decision-making. They will also assist in building predictive models and work closely with business and technical teams to understand data requirements.
About Hudson Manpower
The Hudson Group comprises of:
HudsonIT Consultancy Ltd – a dynamic Software Solutions and IT Staffing firm in United States and
Hudson Manpower Inc – specializing in offering comprehensive recruitment services for technical industries worldwide, ensuring quality hires for various sectors.
We began our journey in early 2019 and take pride in our ability to transform businesses through the seamless integration of cutting-edge digital solutions and outstanding staffing services. With a rich history of staffing experience, we have not only adapted but thrived in the ever-changing landscape of technological innovation.
Ready to join Hudson Manpower?
Take the next step in your career journey
Frequently Asked Questions
What does a Data Analyst / Data Scientist (Early Career) do at Hudson Manpower?
As a Data Analyst / Data Scientist (Early Career) at Hudson Manpower, you will: the Data Analyst/Data Scientist will collect, clean, and analyze both structured and unstructured data while developing reports and visualizations to support decision-making. They will also assist in building predictive models and work closely with business and technical teams to understand data requirements..
Is the Data Analyst / Data Scientist (Early Career) position at Hudson Manpower remote?
The Data Analyst / Data Scientist (Early Career) position at Hudson Manpower is based in Houston, Texas, United States and San Jose, California, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Data Analyst / Data Scientist (Early Career) position at Hudson Manpower?
You can apply for the Data Analyst / Data Scientist (Early Career) position at Hudson Manpowerdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.