Data Analyst / Data Scientist (1-4 years) USC and GC
Hudson
Harrisburg, PA, United States
3 months ago
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Role details
Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$50,000.0 - $75,000.0
Working hours
Regular working hours
Job source
Tech stack
Microsoft Excel
Amazon Web Services
Data Analysis
Microsoft Azure
Data Visualization
Python (Programming Language)
Machine Learning
NumPy
Power BI
Standard Sql
Tableau (Software)
Data Processing
+4 more
Pandas
Matplotlib
Scikit Learn
Data Analytics
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., * 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
Requirements
- 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 4 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
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