Data Modeller

Data · Jakarta, Jakarta
Department Data
Employment Type Full-Time
Minimum Experience Mid-level

Company Overview

Style Theory is a Fashion-Technology company that is redefining Fashion Consumption. We believe that there is an inefficiency in the way we consume fashion in today's world and are on a mission to provide a smarter solution.

We are currently Southeast Asia's largest and fastest-growing Fashion Rental startup. Our core product is Fashion Rental Subscription using a “Netflix-for-Fashion” model, the first and only of its kind in the region. Today, we are focused on building more products to improve Fashion Consumption and driving these solutions across the region.   


Job Summary

Style Theory always strives to rely on data in its decision-making process. It goes without saying that coherent and high-quality data is one of the priorities within the company. This is where data modellers play a very important role. Data modelers are driving the creation and maintenance of data transformations and usage while ensuring that high-quality data are produced consistently.


Responsibilities and Duties

  • Create and maintain data models and transformations with a deep understanding of business processes
  • Collaborate with engineering team in ensuring high-quality database design that supports analytical needs down the stretch
  • Drive innovations and standards around data processing and modelling
  • Ensure data quality, coherence, and integrity that support company needs
  • Ensure data usability across the company through proper data profiling, documentation, and governance
  • Maintain an effective communication channel with engineering and business to ensure timely data change management


Qualifications and Skills

  • 2 - 5 years of experience working as a data modeler/data warehouse engineer/data analyst
  • Deep understanding of SQL
  • Deep understanding of conceptual, logical, and physical data models
  • Deep understanding of dimensional design
  • Ability to understand business processes and translate them into efficient data representation and models



Plus if:

  • Experienced in setting up processes and standards around data warehousing
  • Experienced in advanced data processing tools, such as but not limited to Spark, Flink, Beam.

Thank You

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  • Location
    Jakarta, Jakarta
  • Department
    Data
  • Employment Type
    Full-Time
  • Minimum Experience
    Mid-level