Data Research Executive (225-914)

A Data Research Executive plays an essential role in the field of data science and business analytics. They are responsible for identifying, collecting, analyzing, and interpreting large sets of data to support business decisions and strategies. The position requires a keen analytical mindset with the ability to transform data into actionable insights. Proficient in data mining and statistical analysis, the Data Research Executive utilizes various tools and methodologies to derive meaningful patterns and trends. They are instrumental in improving operational efficiency and providing informational support for various projects. Their work not only aids in market research and competitive analysis but also contributes to the organization's strategic planning and development.

Responsibilities

• Conduct thorough research and analysis of data sources to support decision-making.
• Develop and maintain databases for easy access and analysis of data sets.
• Collaborate with cross-functional teams to understand and define data requirements.
• Generate comprehensive reports and visualizations to communicate findings effectively.
• Analyze market trends and industry data to provide strategic insights and recommendations.
• Ensure data accuracy and integrity by implementing and following quality control processes.
• Identify and utilize appropriate tools and methodologies for data gathering and analysis.
• Monitor data collection processes and suggest enhancements for improved efficiency.
• Present research findings to senior management in a clear and concise manner.
• Stay updated with the latest data analysis techniques and industry developments.
• Manage and prioritize multiple projects to meet critical deadlines consistently.
• Provide training and guidance to junior analysts and team members as needed.

Requirements

• Bachelor’s degree in Data Science, Statistics, or a related field is required.
• Proven experience in data analysis and research in a professional setting.
• Strong proficiency in data analysis tools such as SQL, Python, or R.
• Excellent analytical, problem-solving, and decision-making skills are essential.
• Ability to communicate complex data insights in an understandable manner.
• Experience with data visualization tools such as Tableau or Power BI.
• Highly organized with strong attention to detail and data accuracy.