Data Analyst

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)