• Enterprise Data Restructuring and Standardization Assess and map all existing data sources across departments, including: Sales and distribution, E-commerce and marketplaces, Marketing and media CRM and loyalty programs, Finance and accounting Identify data silos, inconsistencies, redundancies, and gaps. Design and implement company-wide data architecture and taxonomy. Establish data standards, naming conventions, and data dictionaries. Create governance policies to ensure long-term consistency. 2. Data Categorization and Classification Define standardized categories and hierarchies for: Product portfolios, SKUs, Customer segments, Distribution channels Marketing campaigns, Promotional activities, Sales territories, Suppliers and partners Build metadata structures and classification frameworks. Maintain centralized reference tables and master datasets. Ensure consistent data definitions across departments. 3. Data Template and User Framework Design Design standardized templates and data input forms for business users. Develop data collection frameworks that minimize human errors. Create guidelines and SOPs for data entry and maintenance. Improve usability for non-technical teams. Train stakeholders on proper data handling practices. Establish validation rules and approval workflows. 4. Data Cleaning and Quality Management Lead data cleansing initiatives across all business functions. Identify and remove : Duplicate records Missing values Incorrect classifications Inconsistent formats Outdated records Implement automated validation checks. Define KPIs for data quality, including: Accuracy Completeness Timeliness Consistency Reliability 5. Data Query, Validation, and Format Consistency Develop and optimize SQL queries to extract and validate business data. Build automated rules to ensure format consistency. Monitor data pipelines and troubleshoot discrepancies. Create reusable query libraries for internal teams. Ensure data accuracy before executive reporting. 6. Data Integration and Business Intelligence Enablement Integrate data from multiple systems, including: SAP B1 KISSFLOW CRM Support dashboard development and executive reporting. Enable cross-functional insights for management decision-making. 2. คุณสมบัติขั้นต่ำของตำแหน่งงาน (โปรดระบุ) Bachelor's degree in computer science, Data Engineering, Information Systems, Statistics, Business Analytics, or a related field. 7–10 years of experience in data engineering, business intelligence, or related fields. Minimum of 2 years of experience leading a team. Experience working in the FMCG, cosmetics, beauty, retail, consumer goods, or e-commerce industries is preferred. Proven experience managing fragmented and siloed enterprise data environments. Experience implementing data governance and master data management (MDM) frameworks. Technical Skills 1. Data Engineering · Advanced SQL expertise., ETL/ELT pipeline development, Data warehousing design. · Data modeling, Database optimization. 2. Business Intelligence · Power BI, Tableau, Looker, Google Data Studio. 3. Databases · Microsoft SQL, PostgreSQL, SQL Server, BigQuery, Snowflake (preferred). 4. Data Integration · API integration, Excel automation, Google Sheets. Soft Skills Strong analytical and problem-solving skills. Strategic thinking with business acumen. Excellent communication and stakeholder management skills. Ability to simplify complex data concepts for non-technical users. Project management capabilities. Attention to detail and commitment to data accuracy. Change management and process improvement mindset. Strong leadership and coaching abilities Work Location: Head Office 50 Rama9 Soi53
Skills required
  • Project Management
  • Data Warehousing
  • Architecture
  • Postgre SQL
  • Accounting
Experience required
  • 2 years
Salary
  • Negotiable
Job function
  • IT / Programming
  • Engineering
Job type
  • Full-time

Company overview

Size:100-500 employees
Industry:Health & Beauty
Location:Bangkok
Website:www.srichand.co.th
Founded in:1948
Ranking:4.5/5

Srichand A Thai cosmetics brand that has been with Thai people for over 73 years.

Why join us: เราจะไม่ตั้งคำถามว่า ทำอย่างไรคนไทยมาใช้สินค้าไทย แต่ "คำตอบ" ของเรา คือ เราจะทำสินค้าให้ดีที่สุด และทำให้ดีที่สุดในโลก และ บุคลากร พนักงานของศรีจันทร์ เป็นหัวใจของความสำเร็จนั้น ศรีจันทร์กำลังมองหาสมาชิกทีมที่จะมาร่วมบุก ร่วมลุย และสร้างแบรนด์ให้เติบโตไปด้วยกัน หากคุณเป็นคนที่ชอบความท้าทาย ชอบพ ... Read more

Head office: 1193 Rama 9 Road, Suanluang, Bangkok 10250
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Benefits

  • Five-day work week
  • Provident fund
  • Flexible working hours
  • Monthly Product Pack
  • Life Insurance
  • Social Security
  • Job training
  • Accident Insurance
  • Maternity leave
  • Employee discount
  • Annual bonus
  • Learning & Development Opportunities
  • Gym membership
  • Remote work
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