Data Manager

Top 3 Reasons To Join Us Disruptive innovations People-oriented philosophy of doing business Your footprint on regional on-demand market The Job 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.