Analyst

Description du poste:

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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