Executive, Data Excellence (Singapore)

Sephora
Singapore
Workplace: OnsiteFull timeFunction: Product ManagementEducation: bachelorsSkills: ["Logical thinking","Attention to detail","Communication skills","Collaborative work","Ownership","Willingness to learn"]

Build reliable, scalable data solutions for the organization as an entry-level member of the Data Excellence team. Develop and maintain SQL data models with DBT, transform raw data into reusable datasets, and investigate data issues. Create and maintain dashboards and reports in Domo and Power BI, translating business requirements into self-service data products. Support data validation/UAT and contribute to data quality, governance, documentation, and data lineage.

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FursaFursa
Sephora
Sephora
1 month ago

Executive, Data Excellence (Singapore)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Build reliable, scalable data solutions for the organization as an entry-level member of the Data Excellence team. Develop and maintain SQL data models with DBT, transform raw data into reusable datasets, and investigate data issues. Create and maintain dashboards and reports in Domo and Power BI, translating business requirements into self-service data products. Support data validation/UAT and contribute to data quality, governance, documentation, and data lineage.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Entry level

Key Responsibilities

  • •Develop, test, document, and maintain SQL data models using DBT to support reporting, dashboarding, and analytics.
  • •Transform raw data into structured, reusable, business-friendly datasets with guidance from senior team members.
  • •Build and maintain clear, accurate dashboards and reports in enterprise BI platforms such as Domo and Power BI.
  • •Perform data validation and UAT to ensure dashboards and reports are accurate, consistent, and fit for purpose.
  • •Monitor data quality and help maintain trusted definitions, metadata, technical documentation, and data lineage while collaborating to resolve technical questions.

Key Requirements

  • •Earn a bachelor’s degree in data analytics, computer science, or a related discipline.
  • •Have working knowledge of SQL and relational data concepts from coursework, internships, personal projects, or prior work.
  • •Have exposure to data transformation or modelling tools such as DBT.
  • •Have exposure to BI/data visualization platforms such as Power BI, Tableau, or Domo via coursework, internships, or projects.
  • •Demonstrate strong logical thinking and attention to detail, with clear communication and a collaborative, ownership mindset.
Education:Bachelor's in data analytics, computer science, or a related discipline
Skills:Logical thinkingAttention to detailCommunication skillsCollaborative workOwnershipWillingness to learn
Tech Stack:SQLDBTDomoPower BITableauData modellingDashboardsReportsData validationUATVersion controlCode reviewDocumentationDeployment

Company Brief

Sephora
Global retailer of cosmetics, skincare, fragrance and beauty accessories operating physical stores and e-commerce. Sephora offers multi-brand product assortments, in-store services, and digital experiences and is a subsidiary of LVMH.
Industry: Omnichannel Retail
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Paris, France
Founded: 1969
WebsiteLinkedIn