Backend Research & Data Associate (225-712)

The role of a Backend Research & Data Associate is pivotal in ensuring robust data processing, analysis, and management that drive the informed decision-making of a company. As a specialist working behind the scenes, a Backend Research & Data Associate is responsible for collecting, analyzing, and interpreting complex data sets that inform strategic initiatives. The candidate will support research efforts by providing comprehensive data solutions, facilitating innovative data handling techniques, and ensuring the accuracy and security of data. The position demands a high level of technical expertise, attention to detail, and the ability to work collaboratively with diverse teams. The successful candidate will contribute significantly to the organization's ability to leverage data for competitive advantage.

Responsibilities

• Collect, organize, and analyze large sets of raw data from diverse sources.
• Apply data mining techniques to discover patterns and insights from complex data sets.
• Conduct in-depth research to support data-driven strategic decision-making processes.
• Develop and maintain databases and data systems to improve data accessibility and integrity.
• Collaborate with IT and research teams to enhance data collection and cleaning processes.
• Identify process improvements opportunities in data collection and analysis activities.
• Prepare detailed reports summarizing findings and recommendations based on collected data.
• Ensure data quality, consistency, and security across all data management and analysis activities.
• Assist in developing predictive models to aid in forecasting and trend analysis.
• Evaluate emerging data analysis technologies and recommend innovative solutions.
• Ensure compliance with the industry standards and regulations for data handling.
• Conduct regular audits to ensure data accuracy and integrity across all sources.

Requirements

• Bachelor’s degree in Data Science, Computer Science, or a related field.
• Proven experience in backend data management, research, or similar roles.
• Strong proficiency in data analysis and database management tools and systems.
• Excellent problem-solving skills with the ability to process complex information.
• Demonstrated ability to manage multiple projects and meet tight deadlines.
• Strong communication skills to present data findings to non-technical audiences.
• Experience with programming languages such as SQL, Python, or R is essential.