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.