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. The Data Analytics Supervisor is responsible for managing data infrastructure and analytics processes, collaborating with cross-functional teams to define key metrics, and delivering comprehensive reports and presentations to senior management. The ideal candidate will possess strong leadership skills, a deep understanding of data analysis and engineering, and the ability to translate data into strategic recommendations.

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

Hard/Technical, Soft Skills and Complimentary

• Data Analysis Tools: Proficiency in tools like SQL, Python, R, and statistical software.

• Data Visualization: Experience with platforms such as Tableau, Power BI, or similar tools.

• Database Management: Experience with relational databases and big data technologies

• Data Manipulation: Skills in data wrangling and cleaning to prepare datasets for analysis.

Other Qualifications/Requirements:

• Bachelor’s degree or equivalent experience

• 3-5 years experience in analytics, data science, or a related field

• Responsible for team’s people leadership, employee engagement, staff development and performance management

• 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

• 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

• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.