Data Analyst

Job Description

Data Analyst | RK Infotech LLC

The Tone:
This is a full-time role at RK Infotech LLC, located in [Onsite / Hybrid / Remote]. The company focuses on solving real-world data problems and guiding new talent. This entry-level Data Analyst position is designed for fresh graduates eager to apply their academic knowledge and develop their skills on practical projects. The role is crucial for assisting in foundational data initiatives and supporting senior data scientists, offering a significant opportunity for learning and career growth under expert guidance.

The TL;DR
• Role: Early Career
• Type: Full-Time
• Location: [Onsite / Hybrid / Remote]

• Mission: This person will contribute to solving real-world data problems by applying academic knowledge and learning industry best practices.
• Tech Stack: Python, Pandas, NumPy, SQL, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn, Tableau, Power BI, AWS, Azure, GCP

What You’ll Actually Do
• Data Preparation: Assist in collecting, cleaning, and preparing data for analysis.
• Data Analysis: Perform basic data analysis to identify trends and patterns.
• ML Model Support: Support senior data scientists in building and testing ML models.
• Reporting & Visualization: Create simple reports, dashboards, and visualizations.
• Project Work: Work on academic, internship, or internal projects using real datasets.

The Must-Haves
• Background: Bachelor’s degree (or final-year student) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related fields. This is an entry-level position.
• Experience: 0-3 years of experience. Candidates should demonstrate strong academic knowledge, relevant projects, or internship experience.
• Skills: Basic Python programming; foundational understanding of statistics and mathematics; familiarity with data analysis libraries such as Pandas and NumPy; basic knowledge of SQL and databases; awareness of machine learning concepts; strong willingness to learn, curiosity, and problem-solving mindset; good communication skills.
• Bonus: 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).