Data Analytics Supervisor

The Data Analytics Supervisor leads a team of analytics professionals, including data analysts and data engineers, in extracting, processing, and interpreting complex data sets to support strategic decision-making. This role involves overseeing the development and execution of data analysis strategies, ensuring the accuracy and integrity of data, and providing actionable insights to enhance business performance.

Job Responsibilities:

Employee Performance Management

• Ensure new employees are oriented to the organization, its policies, facilities, etc
• Ensure that employees follow the organization's policies and procedures
• Facilitate Employee Training and Development
• Manage individual and team scorecard per month
• Complete Quality Monitoring for members of the team
• Monitor, assess and provide feedback about employee's performance
• Provide ongoing guidance to employees in the forms of ongoing coaching and mentoring
• Complete 100% coaching and Enabling Performance discussion with team
• Develop and implement PIP (Performance Improvement Program) if performance is not adequate
• Approve and monitor daily team attendance through Attendance Monitoring Tool

Conflict / Crisis Management

• Regularly review the needs of employees
• Help, discuss, evaluate and resolve personal and work issues among team members
• Inform and monitor employees during times of crisis or disaster to assess situation
• Inform the manager of the current situation of team members and recommend solution

Reporting

• Submit weekly operation performance status report to Reed Exhibitions Manager
• Generate monthly performance update to Business Unit stakeholder
• Update all necessary reports needed by Stakeholders
• Ensure all reports are accurate, updated and submitted on time

Operational Improvement

• Stakeholder Management – conduct monthly operations review and execute action items agreed with the business unit
• Receive, review and monitor and manage workload and assignments of the team
• Manage stakeholder expectations regarding deadlines, quality and efficiency
• Drive key initiatives to facilitate team process improvement and efficiency as well as partner with Leadership to implement critical actions
• Develop and implement support plans for overall department operations to meet service level objectives and metrics and manage day-to-day operations
• Manage and facilitate the corrective action process, partnering with the manager
• Conduct effective workforce planning and responsible for individual career development
• Participate in the implementation of support plans for product integrations and company acquisitions
• Process audit – support annual process audit activities
• Operations Standard – support compliance with established processes
• Responsible for team's people leadership, employee engagement, staff development and performance management

Other Qualifications/Requirements:

• Bachelor's degree
• At least 1-2 years of experience with data analytics, data science or a related field
• 1-2 years of leadership experience
• Proficiency in tools like SQL, Python, R, and statistical software.
• Experience with platforms such as Tableau, Power BI, or similar tools.
• Experience with relational databases and big data technologies
• Skills in data wrangling and cleaning to prepare datasets for analysis.
• Strong written and verbal communication, problem solving, project management and delegation skills
• Has a strong sense of ownership relating to tasks and responsibilities
• Organized and very systematic in handling tasks at hand
• Very proactive in stakeholder management, project ownership and team coordination
• Decisive and results oriented
• Project and time management skills, demonstrated by the ability to manage a number of projects at the same time
• Strong commitment to performance and team success
• Applicants must be willing to work in flexible/rotating schedule depending on business needs
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.