Data Analyst Analytics Trainee Immediate Joiner preferred

Overview:

Key Responsibilities:

• Assist in data collection cleansing and validation processes.
• Conduct exploratory data analysis and present findings to the analytics team.
• Develop and maintain SQL queries and scripts for data extraction and manipulation.
• Assist in building predictive models and conducting statistical analysis.
• Create and maintain data visualizations to communicate insights effectively.
• Support the analytics team in adhoc analysis and reporting requests.
• Document and present analytical findings and recommendations to stakeholders.
• Contribute to data quality improvement initiatives and data governance processes.
• Work collaboratively with crossfunctional teams to understand business requirements.
• Participate in continuous learning and skill development related to data analytics and visualization tools.
• Assist in the development and maintenance of data management processes and best practices.
• Identify and troubleshoot datarelated issues in a timely and efficient manner.
• Contribute to the improvement of data infrastructure and architecture.
• Assist in the preparation and presentation of analytical reports and dashboards.

Required Qualifications:

• Bachelors degree in Computer Science Statistics Mathematics Economics or related field.
• Proficiency in SQL for data extraction manipulation and analysis.
• Strong knowledge of data analysis and visualization tools such as Python R Tableau or Power BI.
• Ability to work with large datasets and perform data cleaning and manipulation.
• Experience with statistical analysis and predictive modeling techniques.
• Excellent problemsolving and critical thinking skills.
• Proficiency in Microsoft Excel for data analysis and reporting.
• Ability to effectively communicate complex data insights to stakeholders.
• Strong attention to detail and ability to maintain data accuracy and integrity.
• Knowledge of data warehousing concepts and data governance principles.
• Experience with data cleaning and preprocessing techniques.
• Ability to work effectively in a team environment and collaborate with various stakeholders.
• Strong analytical and quantitative skills with a passion for working with data.
• Interest in learning and staying updated with the latest trends in data analytics and visualization.

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