Data Analyst / Data Scientist (2-4 years)
Quick Summary
Collect, clean, and analyze structured and unstructured data Develop reports, dashboards,
Strong understanding of SQL Proficiency in Python or R Knowledge of Excel and data manipulation techniques Familiarity with data visualization tools (Tableau, Power BI,
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.
Responsibilities
~1 min read- →
Collect, clean, and analyze structured and unstructured data
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Develop reports, dashboards, and visualizations to support decision-making
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Perform exploratory data analysis (EDA) and identify trends and patterns
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Assist in building predictive models and basic machine learning solutions
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Work closely with business and technical teams to understand data requirements
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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
~1 min readExposure 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
Open to early-career professionals and fresh graduates with strong project work
Location & Eligibility
Listing Details
- First seen
- August 5, 2026
- Last seen
- August 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- August 5, 2026
Signal breakdown
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