Senior Associate– Data & Analytics Support, Maintenance, and Administration

Job responsibilities:

• Oversee day-to-day operation of data warehouses, databases, data lakes, and analytics platforms, ensuring systems are stable, reliable, and performing optimally.
• Manage incident resolution, including investigating, troubleshooting, and resolving data-related issues in a timely manner to minimize operational disruption.
• Continuously monitor performance and optimize queries, ETL pipelines, and other data processes for efficiency and reliability.
• Perform regular system maintenance, including software upgrades, patches, and backups to ensure high availability of data systems.
• Oversee the execution of maintenance and support projects, ensuring timelines are met and resources are used effectively. Manage team activities to support project deadlines and deliverables.
• Develop and refine operational processes, workflows, and best practices for data support and maintenance. Ensure the team follows standardized procedures to ensure consistency and efficiency.
• Ensure all systems, processes, and issues are well-documented, and produce regular reports on system health, incident resolution, team performance, and resource allocation.
• Assist in managing the departmental budget for tools, licenses, infrastructure, and training, ensuring financial efficiency within the department.
• Work with data engineers, business analysts, and IT teams to ensure that support and maintenance activities align with business needs and analytics objectives.
• Manage relationships with third-party service providers, ensuring that vendors meet service level agreements (SLAs) and adhere to agreed-upon delivery timelines.
• Ensure that all data systems comply with relevant security, privacy, regulatory requirements and work closely with security teams to monitor data integrity and safeguard sensitive information.
• Lead the evaluation and adoption of new tools or technologies to improve the efficiency of data analytics systems and enhance team productivity.
• Identify opportunities for continuous improvement in both technical and administrative aspects of data systems. Introduce automation or other process improvements to reduce manual tasks and increase system uptime.

Requirements:

• Bachelor’s degree in computer science, Information Technology, Data Science, Engineering, or a related field. Advanced degrees or certifications are a plus.
• 5+ years of experience in data management, analytics support, or IT operations, with at least 2 years in a managerial or leadership role.
• Strong background in data system support and maintenance, including databases, ETL pipelines, data platforms, and analytics tools.
• Proven track record of managing technical teams and leading them through troubleshooting, maintenance, and operational challenges.
• Solid understanding of administrative functions such as resource management, team performance, and budgeting.
• Expertise in SQL, database management, and data integration tools (ETL platforms, reporting tools, cloud technologies).
• Familiarity with cloud platforms (AWS, Azure, Google Cloud).
• Exceptional project management skills with the ability to manage cross-functional teams and maintain project timelines.
• Strong documentation skills and experience in preparing management-level reports.
• Ability to balance technical duties with administrative functions, such as budgeting, scheduling, and team management.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills to engage effectively with both technical and business teams.
• Ability to prioritize tasks, work under pressure, and handle competing deadlines.