Data Associate

Description

• Identify and escalate issues and document resolutions for faster troubleshooting.
• Contribute to the development and enhancement of a comprehensive knowledge base.
• Log incidents systematically, track progress, and ensure timely closure with effective coordination.
• Provide daily support and communication across functions to resolve issues, share updates, and align on priorities.
• Assist in preparing datasets for AI/ML initiatives and monitoring model outputs for accuracy.
• Conduct routine checks and maintenance activities to guarantee the reliability and optimal performance of applications.
• Actively identify inefficiencies, bottlenecks, or pain points in current processes and propose actionable solutions.
• Work on ad-hoc data requests and maintain a repository of commonly used queries/reports for reuse.
• Support the integration of AI-driven solutions into existing workflows, collaborating with data engineers and analysts to test, validate, and optimize models.
• Explore opportunities to leverage AI and machine learning tools to enhance data quality, streamline extraction processes, and improve analysis capabilities.
• Develop and implement procedures for efficient system operation and maintenance.
• Collaborate with users to understand their analysis requirements and provide support in utilizing tools for effective data analysis.
• Work closely with the wider Data team, Data Engineering, Research, and Product teams to ensure smooth business-as-usual (BAU) operations.
• Collaborate with development teams to implement patches, updates, and enhancements to improve application functionality.
• Diagnose and troubleshoot technical issues related to data extraction and analysis, collaborating with teams to implement corrective actions
• Share innovative ideas and collaborate with team members to implement process improvements that enhance productivity, data accuracy, and overall service quality.
• Assist users in extracting bespoke data sets, providing guidance on data formats, and ensuring data integrity.
• Participate in team retrospectives, contribute feedback, and implement improvement action items.
• Maintain accurate and up-to-date documentation for operational procedures, configurations, and user support processes.
• Respond promptly to incidents affecting application availability and performance.
• Stay informed on emerging AI tools relevant to data operations and provide recommendations for adoption.
• Foster strong partnerships with stakeholders to ensure data reliability, timely delivery, and continuous improvement of processes.
• Collaborate effectively within and across teams, building trust and strong working relationships.
• Prepare daily/weekly status reports on job execution and highlight anomalies for quick resolution.
• Monitor and manage daily batch jobs and data loads (including daily, weekly, and quarterly schedules), promptly addressing issues related to job failures, delays, or deviations from expected outcomes.
• Ensure all resolutions, queries, and new learnings are logged in documentation for team-wide benefit.
• Ensure the successful completion and validation of data loads across multiple frequencies, maintaining data accuracy and integrity.
• Implement automation scripts or tools to simplify routine maintenance and monitoring activities
• Implement proactive measures to anticipate and prevent potential operational challenges.
• Act as first-level support to reduce dependency on other team members for routine issues.
• Identify opportunities for automation to streamline operational tasks, data extraction processes, and improve efficiency.
• Work closely with cross-functional teams to operationalize systems, ensuring seamless integration into the production environment.
• Communicate clearly with stakeholders, providing timely status updates, raising issues and concerns quickly, and suggesting solutions.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Show adaptability and responsiveness in a fast-paced environment with evolving priorities.
• Expert level knowledge in Python, SQL, VBA and strong understanding of AWS
• Proven experience in application maintenance, operational support, and user support for data extracts and analysis.
• Willingness to handle routine operational tasks while growing into more advanced responsibilities.
• Strong understanding of system architecture, configuration, and integration.
• Ability to quickly learn and adapt to new tools, processes, and technologies under guidance.
• Experience with monitoring tools, incident management systems, and data analysis tools.
• Excellent problem-solving skills, attention to detail, proactive in identifying issues and proposing solutions, multitasker, proactive mindset, anticipating challenges and addressing them effectively.
• Familiarity with data architecture, design patterns and stream processing technologies

Benefits

• Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones.
• The nature of this role precludes it from consideration for part-time or flexible working arrangements
• We are a hybrid working company and the successful applicant will be expected to be physically present in the office at least 2 days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future.

Training + Development

Interview process

Visa Sponsorship

Security clearance