Data Analytics Supervisor - Up to 90K - Hybrid in Ortigas

weSource Management Consultancy Firm; Pasay; On-site; PHP 914,004 - 1,094,796; Full time

Job summary

A leading consultancy firm is seeking a Data Analytics Supervisor to lead the IT team and oversee data management efforts. This role requires at least 8 years of experience in data analysis, particularly within the gambling industry, along with expertise in SQL and data visualization tools like Tableau or Power BI. The position offers a hybrid work model, enabling flexibility between onsite and remote work, and supports a morning shift schedule.

Qualifications

• 8+ years of experience in data analysis, preferably in the gambling industry.
• Advanced knowledge of SQL commands.
• Experience with data visualization tools such as Tableau or Power BI.

Responsibilities

• Lead the IT team in developing and maintaining the company’s internal systems.
• Oversee data collection and analysis processes to support the audit team.
• Integrate third-party client systems into the company’s reporting framework.

Skills

Data analysis

Advanced SQL

Data visualization (Tableau, Power BI)

Communication

Job description

Overview

We are hiring for a Data Analytics Supervisor for a client located in Ortigas Pasig City. This is a hybrid work arrangement with a regular Mon to Fri schedule. Salary pays up to 90K package based on experience.

Responsibilities

1. Lead the IT team in developing and maintaining the companys internal systems.
2. This includes overseeing data collection and analysis processes to support the audit team, integrating third-party client systems into the companys reporting framework, and ensuring that new features and functionalities are developed to enhance operational efficiency and meet the diverse needs of the business and its clients.
3. 8+ years of experience in data analysis, preferably in the gambling industry.
4. Advanced knowledge of SQL commands.
5. Experience with data visualization tools such as Tableau or Power BI.
6. Ability to communicate complex data findings clearly and concisely.

Work Setup

Hybrid (3x onsite, 2x WFH)

Shift

Morning Shift: 7am to 4pm, 8am to 5pm & 9am to 6pm