Supervisor II, Data Analytics

LexisNexis Risk Solutions; Manila; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

LexisNexis Risk Solutions Manila is seeking a Data Analytics Supervisor to lead a team of analysts and data engineers in extracting, processing and interpreting complex data sets to support strategic decisions. You will oversee data infrastructure, define key metrics, and deliver reports to senior management.

Ideal candidates will have strong leadership, deep data analysis and engineering knowledge, and the ability to translate data into strategic recommendations across cross‑functional teams.

Qualifications

• Bachelor’s degree or equivalent experience.
• 3-5 years experience in analytics, data science, or related field.
• 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.

Responsibilities

• Lead analytics team to extract, process, and interpret complex data sets.
• Develop and execute data analysis strategies for decision making.
• Ensure data accuracy and integrity; provide actionable insights.
• Prepare weekly operation performance reports for stakeholders.
• Drive operational improvements and manage team workload and milestones.

Skills

Leadership

Communication

Project management

Delegation

Stakeholder management

Education

Bachelor's degree or equivalent

Tools

SQL

Python

R

Tableau

Power BI

Relational databases

Big data technologies

Job description

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. Collects, analyzes and reports management data to support decisions on day‑to‑day operations, strategic planning and specific business performance issues. Collates, models, interprets and analyzes data; explains variances and trends. Identifies and documents enhancements to modeling techniques.

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

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
• 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
• 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
• Very 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
• We know your well-being and happiness are key to a long and successful career

We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

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