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 field1-2 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.