Data Analyst

หน้าที่และความรับผิดชอบ

• Reporting & Dashboards : Build, automate, and maintain executive reports and dashboards end-to-end using BI tools such as Power BI, Tableau, or Looker. Standardize recurring reports, KPIs, and metric definitions to ensure leadership receives timely, consistent, and trustworthy information. Improve reporting efficiency by reducing manual reporting and enabling greater self-service access to data.
• Centralized Data & Single Source of Truth : Consolidate data across DPU's systems and faculties, including marketing, web, admissions, academic, and operational data, into a centralized data hub. Reconcile conflicting figures across multiple sources and establish a single, trusted source of truth. Maintain clear definitions and ownership of key institutional data and metrics.
• Data Architecture & Integration : Design and maintain logical data structures and models, including schemas, relationships, naming conventions, and data connections across the university. Partner with IT and system owners to develop reliable data pipelines and integrations that feed the centralized data hub. Support the development and continuous improvement of DPU's data architecture.
• Data Quality & Governance : Clean, standardize, validate, and reconcile source data, identifying and correcting errors, duplicates, gaps, and inconsistencies. Define and implement data quality rules and validation checks to ensure data remains accurate, complete, consistent, and reliable. Document data sources, definitions, transformation logic, and reporting methodology to ensure transparency and repeatability.
• Stakeholder Partnership & Insights : Work closely with marketing, web, admissions, academic, and other business teams to translate business questions into clearly defined data requirements and outputs. Analyze data and translate findings into clear, practical, and actionable insights for non-technical stakeholders. Communicate complex data concepts in simple language to support effective decision-making.

คุณสมบัติ

คุณสมบัติด้านความรู้และความสามารถ

• 3–5 years of experience as a Data Analyst, BI Analyst, or in a similar data-focused role.
• Strong SQL skills are essential, including querying, transforming, validating, and reconciling data across multiple sources.
• Hands-on experience consolidating data into a centralized data hub, data warehouse, or similar structure.
• Good understanding of data modeling and architecture fundamentals, including schemas, relationships, and normalization.
• Experience developing reports and dashboards using Power BI, Tableau, Looker, or similar BI tools.
• Strong analytical thinking, attention to detail, and the ability to communicate effectively with non-technical stakeholders.
• Knowledge of Python or R is an advantage but not required.
• Experience working with data in a university, education, or education technology environment is a plus.
• Experience with cloud data platforms such as Big Query, Snowflake, or Azure, as well as ETL/ELT tools, is an advantage.
• Working proficiency in Thai and English.

สวัสดิการ

• ทำงานสัปดาห์ละ 5 วัน
• ประกันสังคม

สวัสดิการอื่นๆ

• กองทุนสำรองเลี้ยงชีพ ประกันอุบัติเหตุ ประกันสุขภาพ เงินรางวัลประจำปี งบสัมมนาสังสรรค์ เงินของขวัญปีใหม่ สหกรณ์ออมทรัพย์ของมหาวิทยาลัย

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