Databricks is hiring a freshers for data science and analytics to support large scale data driven products,the role focuses on analyzing datasets, building insights & business decisions.

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candidates typically hold a degree in computer science, statistics, mathematics, or engineering, backgrounds in data science or analytics are also relevant.

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certifications from platforms such as intellipaat, alma better, guvi, and other analytics programs can strengthen skills but it is not mandatory 

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starting as a data analyst can lead to roles such as data scientist, analytics engineer, or machine learning specialist, career progression depends on skills, projects, and experience.

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the data science analyst works closely with engineering and product teams to understand business questions, the role involves analyzing data trends and generating actionable insights.

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strong sql knowledge is required to query and analyze business data because analysts regularly write joins, aggregations, and window functions to generate reports

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python is commonly used for data preparation, automation, and exploratory analysis, libraries such as pandas and numpy help process large datasets efficiently.

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databricks projects rely heavily on apache spark for distributed data processing, spark enables analysts to process large scale datasets quickly across clusters which improves performance in modern data platforms

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the databricks lakehouse platform combines data engineering, analytics, and machine learning in one system, lakehouse architecture is widely used in modern cloud environments.

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basic understanding of machine learning models such as regression and classification is valuable because it support preparing datasets and evaluating model results

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delta lake technology helps maintain reliable and consistent data pipelines, it ensures data quality and supports time travel for historical analysis

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Company integrates mlflow to manage machine learning experiments and model lifecycle so analysts may collaborate with teams to track model performance and results

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the role requires working with large scale datasets stored across enterprise systems, analysts explore structured and semi structured data to identify patterns and anomalies.

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deployments often run on cloud platforms such as aws, azure, and google cloud, so cloud computing knowledge improves collaboration with engineering teams.

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You should be must communicate complex data findings in a clear and understandable way because reports and presentations help stakeholders make informed decisions

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insights generated by analysts are often visualized using dashboards and reporting tools like power BI and Tableu

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You have to assist with experimentation and data validation processes, analyzing experiment results helps teams improve product performance.

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Hope you understand the criteria, you can also explore our tech job alert job portal site for more data science jobs 

Just don't go for perfection, check below and apply for data science job

Cognizant Fresher Data Science Off Campus Drive 2026