Job Summary

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.

Develops, analyzes and models operational, economic, management, accounting and other organizational data. Prepares operations analyses, including analysis of competitors, operational effectiveness and capacity utilization. Prepares plans or recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry.

Accountabilities

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
1 year experience in analytics, data science, or a related field
At least 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.
Strong written and verbal communication, problem solving, project management and delegation skills
Responsible for team's people leadership, employee engagement, staff development and performance management
Project and time management skills, demonstrated by the ability to manage a number of projects at the same time
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
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

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Supervisor I, Data Analytics