Job Expectations :
- Position Type : Experienced - Lead / Manager
- Employment Type : Full-Time; Permanent (Direct Hire)
- Work Setup & Location : Hybrid (2-3x onsite per week) - Mandaluyong City
- Work Schedule : Mondays - Fridays; Night Shift
- Industry : IT Consulting & Services
About the Job :
We are seeking an experienced and detail-oriented Data Analytics & Modeling Manager to join our client's team and lead efforts in transforming complex data into actionable business insights. In this role, you will oversee the design, development, and execution of analytical models that help drive strategic decision-making, improve business processes, and enhance profitability. You will partner closely with cross-functional teams to collect, process, and analyze data across Sales, Marketing, and Finance, using AI modeling and advanced analytics to uncover trends, test hypotheses, and recommend impactful solutions. Beyond technical expertise, you will play a key leadership role in guiding a team toward excellence, fostering a data-driven culture, and ensuring the delivery of high-quality, business-relevant insights.
Qualifications :
Bachelor's Degree in Computer Science, Information Technology, or a related field.8+ years of experience in data modeling and analysis, including work with :Google Cloud Platform (GCP) and BigQueryApplied Machine Learning algorithmsSQL or Python programmingData visualization tools such as Power BI, Tableau, or Google Data StudioAt least 5 years of proven managerial or leadership experience.Strong business acumen with exceptional attention to detail.Excellent communication and presentation skills, with the ability to translate data insights into clear business recommendations.Experience in project management and stakeholder collaboration across teams.Good to Have :
Background in Data Science or Finance.Understanding of sales processes, systems, and performance metrics.Working knowledge of Salesforce CRMA.Experience in Software Engineering or technical solution development.Only shortlisted candidates will be contacted; updating / tailoring CV is highly recommended