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Data Analytics Specialist

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Hybrid

Data Analytics Specialist

Srichand United Dispensary Co.,Ltd.

Data Analytics Specialist

Skills

SQL QueriesData EngineeringE-commerce WebsitesPythonPostgreSQLData AnalysisAWSn8nCRMSAP ERPPower BIAzure

10 hours ago

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Important information


Contract type:

Permanent

Location:

Bangkok, Thailand

Work mode:

Hybrid

Published on:

27 October 2026

What they need


  • Creating Visual Data Dashboards for various organizational units

  • Supporting adoption and usage of Data Dashboards

  • Collaborating across teams (e.g., sales, finance, marketing, CRM) to drive data results

  • Executing to ensure results are realized, diving deep into each business on the ground

  • Contributing to the collection of data from various systems to central data collection

  • Work closely with CRM or any other commercials for data management and initial data analytics

  • Support team regarding data structure, data format, data cleaning and be initial data advisor

  • Define and document business KPIs and metric definitions with stakeholders (single source of truth)

  • Migrate existing Power BI reports to the new centralized data model, reducing logic inside individual reports

  • Monitor data quality and report issues to the data engineering

  • Perform ad-hoc analysis and deliver insights and recommendations, not only reports

  • Maintain documentation for dashboards, datasets and data dictionary

  • Train business users on self-service dashboard usage

    Qualifications

  • Bachelor’s degree in Statistics, Computer Science, Engineering, Economics, Business or a related field

  • 3–5 years of experience in data analytics / BI

  • Strong Power BI skills (data modeling, DAX, Power Query)

  • Strong SQL, Postgres skills

  • Understanding of data modeling concepts (star schema / dimensional modeling)

  • Experience working with business users across multiple departments

Preferred

    • Experience with ERP data (SAP Business One) and CRM data
    • Experience in FMCG, cosmetics, retail or e-commerce
    • Familiarity with cloud data platforms (Azure or AWS)
    • Python for data cleaning or analysis, n8n, Power Automate
    • Basic knowledge of sell-in / sell-out, promotion and customer analytics

Location: Head Office Rama9 Soi53

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