Backend Research & Data Associate (225-819)

The role of a Backend Research & Data Associate is pivotal for organizations that rely heavily on data-driven decision-making and maintaining robust backend operations. As a Backend Research & Data Associate, you will be tasked with conducting in-depth research, compiling and analyzing data, and maintaining data systems to ensure seamless operations and high-level insights for the organization. This position requires a blend of analytical skills, technical expertise, and meticulous attention to detail. You will collaborate closely with various departments to gather and interpret data that influences strategic decisions and supports operational efficiency. You are expected to have an understanding of data management technologies and tools and possess the ability to communicate complex data insights in a clear and concise manner.

Responsibilities

• Conduct comprehensive research to gather data pertinent to business requirements.
• Analyze and interpret data to identify trends, patterns, and insights.
• Develop and maintain databases and data systems for efficient data management.
• Collaborate with cross-functional teams to gather and process data effectively.
• Prepare detailed reports and presentations to communicate findings to stakeholders.
• Ensure data accuracy and integrity across all systems and reports.
• Assist in the designing and implementation of data collection systems and processes.
• Identify new data sources and data collection processes to enhance organizational intelligence.
• Support data-driven decision-making by providing clear and accurate ad-hoc analysis.
• Stay updated with the latest developments in data technologies and methodologies.
• Optimize existing data processes for improved performance and efficiency.
• Provide training and support to other team members on data-related tasks and tools.

Requirements

• Bachelor's degree in Data Science, Computer Science, or related field.
• Proven experience in data management, research, and analysis roles.
• Strong proficiency in SQL, Excel, and data visualization tools required.
• Excellent analytical skills with a strong attention to detail and accuracy.
• Ability to communicate complex data insights in a clear manner.
• Experience with database management and data warehousing solutions is preferred.
• Demonstrated ability to work collaboratively and independently in a fast-paced environment.