Senior Manager, Business Intelligence (BI) and Data Engineering job opportunity at Makro PRO.



Date2026-01-08T02:23:44.944Z bot
Makro PRO Senior Manager, Business Intelligence (BI) and Data Engineering
Experience: 10-years
Pattern: Full-time
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Business Intelligence (BI) and Data Engineering

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loacation Bangkok, Thailand
loacation Bangkok....Thailand

Lead the Business Report Development function for CP Axtra’s BIC, owning the planning, development, governance, and reliability of enterprise business reporting across Makro/Lotus’s. Partner closely with Data Engineering/Operations and business stakeholders to ensure BIC dashboards reports are consistent, timely, and trusted; coordinate incident triage and SLA communications. Key Responsibilities 1) Reporting & Delivery Own end‑to‑end delivery of BIC dashboards and scheduled reports; define standards for data modeling, DAX/SQL patterns, performance, and release processes. Lead RCA when discrepancies occur and publish corrective actions. 2) Platform Operations & SLA Coordinate daily/weekly SLA communications with Data Operations and vendors, including delays, pipeline status, ETA, and stakeholder notifications. Maintain readiness for month‑end/quarter‑end. 3) Governance & Security Embed BIC governance practices (access management, RLS/object‑level security, workspace standards) and align to the CP Axtra Data Governance Committee direction. 4) Stakeholder Management Act as the primary contact for business owners (Operations, Finance, Commercial, etc.), communicating changes, incidents, and delivery timelines to broad stakeholder groups. 5) Leadership & Team Enablement Coach analysts/BI developers on standards and best practices; coordinate transition plans and handovers when ownership changes. Bachelor’s/Master’s in Computer Science, Information Systems, Data Engineering, or related field. 10+ years’ experience in BI/report development with at least 5 years in a lead/manager capacity. Strong hands‑on expertise in Power BI (Desktop, Service, gateways, deployment pipelines; paginated reports desirable), SQL/DAX, and data modeling. Familiarity with enterprise data platforms (Databricks, cloud platforms). Understanding Retail analytics environments and batch pipeline dependencies; comfortable coordinating with operations vendors under SLAs. Strong stakeholder communication and incident/RCA documentation skills.

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