Data Research Executive (225-803)

The Data Research Executive plays a pivotal role in gathering, analyzing, and interpreting data to inform and guide strategic decision-making within an organization. This position requires a highly analytical mind with an eye for detail, someone who can delve deeply into data while keeping the big picture in mind. Data Research Executives work closely with various departments to translate complex data into actionable insights. The role involves conducting comprehensive research and transforming findings into meaningful reports and presentations. Successful candidates will possess a blend of technical expertise, analytical acuity, and strong communication skills to effectively articulate data-driven insights to stakeholders at all levels of the organization.

Responsibilities

• Conduct comprehensive research and gather data relevant to organizational needs.
• Analyze large datasets to identify trends, patterns, and anomalies.
• Collaborate with cross-functional teams to understand data requirements and objectives.
• Develop and maintain databases for efficient data retrieval and analysis.
• Prepare detailed reports and presentations to communicate research findings effectively.
• Interpret complex data sets and provide insightful recommendations based on findings.
• Stay updated with the latest data analytical tools and techniques for enhanced accuracy.
• Ensure data integrity and accuracy by conducting thorough data validation processes.
• Support the implementation of data-driven decision-making across the organization.
• Provide training and support to team members on effective data research methodologies.
• Present research results and insights to senior management and stakeholders.
• Identify opportunities for process improvements and contribute to strategic planning.

Requirements

• Bachelor’s degree in Data Science, Statistics, or a related field.
• Proven experience in data research and analysis in a corporate environment.
• Strong analytical skills and the ability to interpret complex data sets.
• Proficiency in data analysis software and tools, such as SQL and R.
• Excellent written and verbal communication skills for conveying insights effectively.
• Strong attention to detail and a commitment to data accuracy and integrity.
• Ability to work independently and collaboratively in a team environment.
• Proactive attitude and capacity to manage multiple priorities and meet deadlines.