Data Analyst

RK Infotech LLC · Orlando, FL
LinkedIn

Posted

Jul 01, 2026 (Jul 01)

Seniority

Senior

Work Model

Hybrid

Type

Internship

Category

Data & ML

Salary

Not specified

Skills

AWS Azure Data Science GCP GitHub Machine Learning Matplotlib NumPy Pandas Power BI Python PyTorch Scikit-learn Seaborn SQL Tableau TensorFlow

Description

We Are Hiring: Data Analyst (Fresher / Entry-Level | 0–3 Years) We are looking for enthusiastic fresh graduates who are eager to start their career in Data Analyst . This role is designed for candidates who may have strong academic knowledge, projects, or internship experience and are excited to learn while working on real-world data problems under expert guidance. Location: [Onsite / Hybrid / Remote] Employment Type: Full-Time Experience Level: Freshers / 0–3 Year Key Responsibilities: • Assist in collecting, cleaning, and preparing data for analysis • Perform basic data analysis to identify trends and patterns • Support senior data scientists in building and testing ML models • Create simple reports, dashboards, and visualizations • Work on academic, internship, or internal projects using real datasets • Learn and apply industry best practices in data science • Collaborate with team members and actively participate in knowledge-sharing Required Skills & Qualifications: • Bachelor’s degree (or final-year student) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related fields • Basic programming knowledge in Python • Understanding of statistics and mathematics fundamentals • Familiarity with data analysis libraries (Pandas, NumPy) • Basic knowledge of SQL and databases • Awareness of machine learning concepts (training, testing, overfitting, etc.) • Strong willingness to learn, curiosity, and problem-solving mindset • Good communication skills Preferred / Nice to Have (Not Mandatory) • Academic projects or internships in Data Science / Analytics • Exposure to ML libraries (Scikit-learn, TensorFlow, PyTorch) • Experience with data visualization tools (Matplotlib, Seaborn, Tableau, Power BI) • Online courses, certifications, Kaggle participation, or GitHub projects • Basic understanding of cloud platforms (AWS / Azure / GCP)