Data ysis Engineer TraineeGraduate or UG

Overview

Key responsibilities

• Collaborate with senior data analysts and engineers to collect and analyze large datasets.
• Develop and implement data collection systems and strategies to optimize statistical efficiency and data quality.
• Use statistical methods to analyze data and generate useful business reports.
• Design and create data visualizations and dashboards to aid in effective decisionmaking.
• Conduct data validation and cleansing to ensure accuracy and reliability.
• Work on data mining and extraction projects using cuttingedge tools and technologies.
• Assist in creating and maintaining documentation for data processes and procedures.
• Identify patterns and trends in data sets to support organizational objectives.
• Collaborate across teams to gather and understand data requirements for various projects.
• Stay updated with the latest industry trends and best practices in data analysis and engineering.

Required qualifications

• Bachelors or Masters degree in Computer Science Statistics Mathematics Engineering or related field.
• Proficiency in programming languages such as Python R or Java.
• Strong understanding of database management and querying using SQL.
• Experience with data visualization tools such as Tableau Power BI or D3.js.
• Knowledge of statistical analysis and modeling techniques.
• Ability to work with big data technologies like Hadoop Spark or Hive.
• Excellent problemsolving and critical thinking skills.
• Strong communication and collaboration abilities.
• Familiarity with machine learning concepts and tools is a plus.
• Understanding of data security and privacy protocols is desirable.

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