Essential programming languages and tools for a Data Science Research Analyst include Python and R for data analysis and modeling, SQL for database querying, and libraries like TensorFlow and scikit-learn for machine learning. They also use data visualization tools like Matplotlib and data manipulation libraries such as Pandas. Knowledge of big data technologies like Hadoop and Spark can be advantageous for handling large datasets.
If you are interested in getting into this field, then check out this video about Bhargav and how he got a data science job despite being a fresher just after completing Advanced Certification in Data Science and AI from Intellipaat.