[HCM] Data Manager

Top 3 reasons to join us

• Disruptive innovations
• People-oriented philosophy of doing business
• Your footprint on regional on-demand market

Job description

• Lead and develop the Platform Data & Analytics team, covering both Data Analysts for tech/product projects and Analytics Engineering for business data products.
• Partner with Product, Engineering, Finance, Sales, Marketing, and Operations teams to define metrics, analyze problems, measure impact, and provide actionable recommendations.
• Drive data analytics for tech initiatives such as pricing, matching, dispatching, fraud, customer/driver behavior, and platform performance.
• Build scalable analytics foundations, including trusted data models, certified dashboards, metric definitions, data dictionary, and reporting governance.
• Support business data platform initiatives across CRM, CEP, CDP, lead scoring, sales pipeline, customer segmentation, campaign performance, and finance reporting.
• Improve data quality, reduce ad hoc reporting chaos, and help the team move from one-off analysis/dashboard requests to reusable data products.
• Establish clear ownership, planning cadence, quality standards, and stakeholder alignment for all analytics and reporting work.

Your skills and experience

• 7+ years of experience in Data Analytics, Business Intelligence, Analytics Engineering, Data Product, or related roles.
• Experience leading, mentoring, or managing data team members, with the ability to grow analysts into stronger domain owners.
• Strong SQL, analytical thinking, and problem-solving skills; able to structure ambiguous business or product problems into clear analysis plans.
• Good understanding of product, business, and operational metrics, including funnel analysis, cohort analysis, segmentation, experiment measurement, and performance tracking.
• Hands-on experience with BI/reporting tools such as Power BI, Tableau, Looker, Metabase, or similar.
• Experience building or maintaining dashboards, data models, metric definitions, reporting layers, or source-of-truth business reports.
• Strong stakeholder management skills; able to work effectively with Product, Engineering, Finance, Sales, Marketing, and Operations teams.
• Ability to balance business requests, data quality, technical debt, and team capacity while maintaining clear ownership and delivery standards.

Nice to have

• Experience with analytics engineering practices such as dbt, semantic layers, metric stores, data contracts, certified data models, or dashboard governance.
• Experience with CRM, CEP, or CDP systems such as HubSpot, Twenty CRM, CleverTap, Insider, Braze, Segment, or similar.
• Experience working with customer data, sales pipeline data, marketing campaign data, customer lifecycle analytics, or finance reporting.
• Familiarity with Airflow, DAGs, data pipelines, data freshness, data quality checks, and workflow monitoring.
• Experience supporting machine learning or scoring projects as an analytics partner, such as lead scoring, fraud scoring, risk scoring, or recommendation systems.
• Experience in pricing analytics, marketplace analytics, logistics, mobility, e-commerce, or on-demand platforms is a plus.

Why you'll love working here

• Physical Wellbeing Benefit: General Insurance, Medical check-up, Accident Insurance, Healthcare Insurance.
• Emotional Wellbeing Benefit: Company Trip, Year End Party, Aha Hour Activities, Special Day Gifts, Aha Club (Badminton, Soccer).
• Financial Wellbeing Benefit: Grab/Be For Work (Tech/Lead Level), Workplace Relocation, 13th Month Salary, PP Appreciate, Annual Leave Remain.