ociate Data yst ytics Trainee

Overview:

Key Responsibilities:

• Assist in data collection cleaning and preparation for analysis
• Develop and execute database queries and conduct analyses using SQL
• Utilize statistical tools and methods to analyze complex data sets
• Support the development of data visualizations and reports
• Contribute to identifying trends patterns and insights from data
• Assist in creating and maintaining data documentation and quality standards
• Collaborate with crossfunctional teams to understand data needs
• Participate in training programs and onthejob learning initiatives
• Assist in the implementation and maintenance of analytics tools and systems
• Conduct adhoc analyses to address specific business questions
• Contribute to continuous improvement of data management processes and practices
• Support the development and maintenance of data models and database designs
• Assist with monitoring and quality control of data sources and systems
• Contribute to the development of datadriven strategies and solutions
• Stay informed about industry best practices and emerging trends in data analytics

Required Qualifications:

• Bachelors degree in Data Science Statistics Mathematics Computer Science or a related field
• Proficiency in SQL and database management
• Experience with data visualization tools such as Tableau or Power BI
• Strong analytical and problemsolving skills
• Knowledge of statistical methods and data analysis techniques
• Familiarity with programming languages such as Python R or Java
• Ability to work with large and complex data sets
• Excellent communication and collaboration skills
• Ability to prioritize and manage multiple tasks effectively
• Attention to detail and commitment to data accuracy
• Understanding of machine learning concepts is a plus
• Knowledge of data cleaning and transformation techniques
• Curiosity and passion for datadriven insights and decisionmaking
• Ability to adapt to new tools and technologies in the data analytics field
• Understanding of data privacy and security best practices

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