* Expert and go to person for Data management (Dataiku, Assortify, PLM, SAP, Bcom, YXX)
* Supporting the data coordinators in their role. Improving systems and data management
* Reducing data errors and achieving system readiness to 100%, to ensure key deliverables
Critical Results
* Own and set up a network of cross-functional partners to achieve primary purpose related to data and system readiness.
* Own creation of tools to implement weekly checks to reduce system and data errors.
* Responsible for all Merch topic related setup in Assortify, YourXX, and Bcom. Implementing improvements and simplification for Merch and assorting.
* Support merch ops data-related system improvement initiatives.
* Partner with IT/Customer Service to ensure product activation completion through systematic checks.
* Partner with sizing team to ensure accurate POs created by minimizing size discrepancies between systems.
* Defining and executing data collection strategies to gather relevant information.
* Developing and maintaining data pipelines and infrastructure.
* Keeping up-to-date with the latest developments in data science and machine learning.
Roles and Responsibilities
* Data management: Ensuring the availability, quality, and security of data used by the merchandising team and cross-functional partners.
* Data analysis: Investigating and interpreting data to identify actionable insights and opportunities for improvement.
* Collaboration: Working with cross-functional teams to implement data-driven solutions and drive business growth.
* Communication: Presenting findings and recommendations to stakeholders in a clear and concise manner.
Job Requirements
* Bachelor in business analytics or data science, or related field preferred.
Years and Type of Experience Required:
* Minimum 1-2 years of experience in Data management.
* Knowledge of merchandising and Operations functions.
* Experience in data mining.
* Understanding of machine-learning and operations research.
* Knowledge of R, SQL, and Python.
* Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Dataiku).
* Hands-on experience with data science tools.
* Advanced in Microsoft Office (Word, Excel/PowerPoint).
* Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.
* A fast-paced, multi-tasker with cross-functional project management capabilities.
* A high-energy individual who is passionate about the brand.
* Excellent communication skills (oral and written).
* Strong collaborative and negotiation skills.
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