Analyst

Job Description:

Job Summary 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 f ields. Final-year students or recent graduates are welcome to apply. Technical Skills: o Strong foundation in Java, React, NodeJS, Python, SQL, and Excel o Basic understanding of data structures, databases, and algorithms o Exposure to pandas, NumPy, PySpark, scikit-learn, GenAI, Agentic AI or TensorFlow is a plus o Familiarity with BI tools (e.g., Power BI, Tableau) or cloud platforms (e.g., AWS, GCP) is desirable o 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

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