We are looking for enthusiastic and sharp-minded fresh graduates to join our data team as Analyst/ Associates/ Software Engineer. This is an entry-level role designed to offer exposure across the data value chain — from data wrangling and engineering to analytics and predictive modeling.
You’ll work closely with product, engineering, and business teams to help solve real-world problems using data. Ideal for individuals who are passionate about uncovering insights, building scalable data pipelines, and developing machine learning models to drive decision-making.
Key Responsibilities
🔍 Data Analytics
Analyze large volumes of structured and unstructured data to extract meaningful business insights.
Create dashboards, visualizations, and reports using tools like Power BI, Tableau, or Excel.
Support in identifying patterns, trends, and anomalies in data to support business decisions.
🧪 Data Science
Assist in building, testing, and deploying machine learning models under supervision.
Work with statistical and ML techniques for classification, regression, clustering, etc.
Collaborate on experiments, hypothesis testing, and performance evaluation of models.
🏗️ Data Engineering
Support in designing and building data pipelines and ETL processes.
Assist in data cleaning, transformation, and storage using SQL, Python, or cloud platforms.
Help maintain data integrity, quality, and documentation across data systems.
Qualifications
Education:
Bachelor’s degree in Engineering, Computer Science, Data Science, Gen AI or related fields. Final-year students or recent graduates are welcome to apply.
Technical Skills:
Strong foundation in Java, React, NodeJS, Python, SQL, and Excel
Basic understanding of data structures, databases, and algorithms
Exposure to pandas, NumPy, PySpark, scikit-learn, GenAI, Agentic AI or TensorFlow is a plus
Familiarity with BI tools (e.g., Power BI, Tableau) or cloud platforms (e.g., AWS, GCP) is desirable
Knowledge of version control (Git) is an advantage
Soft Skills
Curiosity and a passion for data-driven problem solving
Strong analytical and logical thinking
Good communication and collaboration skills
Willingness to learn in a fast-paced environment
Ability to break down complex problems and document clearly
Preferred (Good to Have, Not Mandatory)
Internship or academic project in data analytics, machine learning, or database systems
Participation in hackathons, coding contests, or Kaggle competitions
Exposure to Agile or collaborative tools like JIRA, Confluence
What You’ll Gain
Hands-on experience across analytics, data science, and engineering tracks to solve critical Business problems.
Opportunity to work on live projects and scalable systems
Mentorship from experienced data professionals
Career pathways in analytics, data science, GenAI, Agentic AI or data engineering based on your interest and skills