Required Data Analyst Analytics Trainee Graduate UG

Overview

Key responsibilities

• Assist in collecting and organizing data from various sources.
• Conduct exploratory data analysis to identify trends and patterns.
• Assist in creating and maintaining databases and data systems.
• Utilize statistical methods to analyze data and generate meaningful insights.
• Support the analytics team in developing and implementing datadriven solutions for business challenges.
• Assist in creating data visualizations and reports to communicate findings.
• Collaborate with crossfunctional teams to understand data needs and deliver actionable analytics.
• Participate in training programs to enhance data analysis skills.
• Assist in maintaining data quality integrity and security.
• Contribute to the development and improvement of data analysis processes and tools.
• Support adhoc data analysis and reporting requests from various stakeholders.
• Stay updated with industry best practices in data analytics and apply them to projects.
• Assist in identifying opportunities for operational improvements through data analysis.
• Ensure compliance with data governance and regulatory requirements.
• Support the documentation of data analysis methodologies and findings.

Required qualifications

• Bachelors degree in a quantitative field such as Statistics Mathematics Economics Computer Science or a related field.
• Strong analytical and problemsolving skills.
• Proficiency in SQL and database management.
• Knowledge of data visualization tools and techniques.
• Familiarity with statistical analysis and modeling techniques.
• Ability to work with large datasets and perform data cleaning and transformation.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Strong communication skills with the ability to present findings effectively.
• Understanding of basic programming languages such as Python or R is a plus.
• Ability to work in a dynamic and collaborative team environment.
• Keen attention to detail and accuracy in data analysis.
• Ability to prioritize and manage multiple tasks effectively.
• Strong curiosity and eagerness to learn and apply new concepts.
• Understanding of business operations and decisionmaking processes.
• Enthusiasm for leveraging data to drive business impact and improvements.

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