Top MNC and dream company of many candidates Infosys is hiring a data analyst / engineer 

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Strong analytical, planning, organizational, time management and facilitation Skills required 

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candidates should hold a bachelor’s or master’s degree in computer science, information technology, engineering, statistics, or mathematics

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infosys data roles require strong understanding of data analysis and business problem solving, working with structured datasets and drawing actionable insights is a key responsibility

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Proficiency in Microsoft Suite (Word, Excel, Access, PowerPoint, Project, Visio, Outlook),   Microsoft SQL Studio, JIRA is important 

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Demonstrated proficiency in SQL, Python, QlikView, Tableau and Excel and Cloud computing preferably Amazon Web Services, Sagemaker, Athena is good to have 

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certifications from platforms like intellipaat, alma better, guvi, and upgrad strengthen candidate profiles but not mandatory for application

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Conduct ad hoc analysis and exploratory data analysis (EDA) to answer business questions and uncover actionable insights from large and complex datasets 

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You have to work with ETL pipelines and data integration frameworks and tools like apache airflow, spark, and cloud data services support large scale processing

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Perform data analysis and modelling to support BI initiatives, including data profiling, cleansing, transformation, and visualization.

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infosys projects commonly use cloud platforms such as aws, microsoft azure, and google cloud so basic exposure to cloud data storage and analytics services is highly preferred.

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Knowledge of machine learning and NLP frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and NLTK. Comfortable working with big data technologies and cloud platforms.

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Good to have Knowledge of Machine Learning Algorithms ( Ex. Linear Regression , Logistic Regression , Decision Tree , RandomForest , Xgboost , GBM etc) but not mandatory 

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automation is used to reduce manual reporting and accelerate analytics delivery, data analysts and engineers support automated workflows using scripts and analytics pipelines.

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agentic ai systems are designed to perform tasks autonomously using defined goals and workflows such systems combine llms, tools, and decision logic to support enterprise operations.

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