Data Analyst Entry Level / Graduate (Dec 2025 – Mar 2026) for USA Student at bEdge Tech Services | Torre
Data Analyst Entry Level / Graduate (Dec 2025 – Mar 2026) for USA Student
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bEdge Tech Services

Data Analyst Entry Level / Graduate (Dec 2025 – Mar 2026) for USA Student

bEdge Tech Services
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Emma
Emma
You'll transform data into actionable insights, driving business decisions and growth.
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Full-time

Legal agreement: Employment

Compensation
USD65 - 135/hour
Non-negotiable
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Remote (for United States residents)
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Published 5 days ago

Requirements and responsibilities

This role is ideal for recent graduates who are passionate about working with data, uncovering insights, and supporting business decisions through analysis and visualization. You will work closely with senior analysts, business teams, and stakeholders to transform raw data into actionable insights. Key Responsibilities: - Collect, clean, and validate data from multiple sources. - Perform exploratory data analysis to identify trends and patterns. - Create dashboards and reports using visualization tools. - Assist in building analytical models and KPIs. - Translate business questions into data-driven insights. - Document analysis processes and maintain data accuracy. - Support ad-hoc analysis and reporting requests. - Collaborate with cross-functional teams (Product, Finance, Operations, etc.). Required Skills & Qualifications: - Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field (2025 graduates preferred). - Strong understanding of statistics and data analysis concepts. - Proficiency in SQL. - Working knowledge of Excel (Pivot Tables, VLOOKUP/XLOOKUP, formulas). - Basic experience with Python or R for data analysis. - Familiarity with data visualization tools such as Power BI, Tableau, or Looker. - Good analytical thinking and problem-solving skills. - Strong communication and presentation abilities. Good to Have (Preferred Skills): - Experience with Python libraries: Pandas, NumPy, Matplotlib, Seaborn. - Knowledge of databases (MySQL, PostgreSQL, BigQuery, etc.). - Exposure to cloud platforms (AWS, Azure, GCP). - Internship, academic project, or certification in data analytics. - Understanding of basic machine learning concepts. What We Offer: - Structured onboarding and training program. - Mentorship from experienced data professionals. - Real-world projects and hands-on exposure. - Career growth and learning opportunities. - Competitive entry-level compensation.
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