Data Analyst Analytics Trainee Required

Overview

Key Responsibilities

• Assist in collecting and interpreting data to identify trends and patterns
• Utilize statistical methods to analyze data and generate useful business insights
• Provide support in developing and implementing datadriven solutions and strategies
• Collaborate with senior data analysts and data scientists to drive innovation in data analytics
• Contribute to the creation of data visualizations and reports to communicate findings effectively
• Assist in maintaining and optimizing data systems and databases
• Participate in data quality assurance and validation activities
• Conduct research to stay updated with the latest trends and advancements in data analytics
• Support in the preparation of presentations and reports for internal and external stakeholders
• Work on adhoc data analysis and reporting tasks as required

Required Qualifications

• Bachelor s degree in Computer Science Statistics Mathematics Economics or a related field
• Proficiency in SQL for data querying and manipulation
• Strong understanding of data analysis techniques and methodologies
• Proficiency in Python for data analysis and manipulation
• Experience with statistical analysis tools such as R SPSS or SAS
• Familiarity with data visualization tools like Tableau Power BI or QlikView
• Excellent problemsolving and critical thinking abilities
• Strong communication and teamwork skills to collaborate effectively with crossfunctional teams
• Ability to work in a fastpaced and dynamic environment while maintaining attention to detail
• Understanding of machine learning concepts and algorithms is a plus
• Prior internship or work experience in data analysis or related field is preferred
• Strong analytical and quantitative skills with a passion for working with data
• Ability to adapt to new technologies and selfmotivated to learn and grow in the field of data analytics
• Knowledge of big data technologies such as Hadoop Spark or Hive is a plus
• Understanding of data governance and data management principles

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