yst ysis Data in Software Industry Fresh Entry Level

Overview

Key responsibilities

• Collect and organize data from various sources for analysis
• Utilize software tools and techniques for data cleaning manipulation and visualization
• Conduct statistical analysis and interpret results to identify patterns trends and correlations
• Collaborate with teams to define data requirements and develop data models
• Generate and present clear actionable insights and recommendations based on data analysis
• Develop and maintain data documentation and metadata
• Identify and address data quality issues and inconsistencies
• Stay updated with industry trends and best practices in data analysis
• Contribute to continuous improvement of data analysis processes and methodologies
• Support adhoc analysis and reporting requests
• Communicate complex data concepts and findings to nontechnical stakeholders
• Assist in the development and maintenance of data analysis tools and dashboards
• Participate in crossfunctional projects and initiatives to drive datadriven decisionmaking
• Adhere to data privacy and security guidelines
• Collaborate with data engineers and IT teams to optimize data collection and storage

Required qualifications

• Bachelors degree in Computer Science Information Technology Data Analytics Statistics Mathematics or related field
• Proficiency in programming and scripting languages such as Python R SQL or similar
• Strong understanding of data analysis techniques methodologies and best practices
• Experience with data visualization tools and platforms such as Tableau Power BI or similar
• Knowledge of statistical concepts and techniques for hypothesis testing regression and clustering
• Familiarity with database management systems and data manipulation techniques
• Excellent problemsolving and critical thinking abilities
• Strong communication skills and ability to present complex data findings effectively
• Ability to work collaboratively in a crossfunctional team environment
• Detailoriented with a focus on accuracy and data integrity
• Understanding of software development lifecycle and agile methodologies
• Ability to work with large datasets and extract meaningful insights
• Knowledge of data privacy regulations and best practices
• Enthusiasm for learning new tools and technologies in the data analysis space
• Relevant internship or project experience in data analysis is a plus

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