Brand Data Analyst

Zaventem, Belgium

Levi Strauss & Co.

Levi Strauss – Levi Strauss & Co

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JOB DESCRIPTION

Job Purpose

  • Expert and go to person for Data management ( Dataiku, Assortify,  PLM, SAP, Bcom, YXX)
  • Supporting the data coordinators in their roll. Improving systems and data management
  • Reducing data errors and get 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 down system and data errors.
  • Responsible for all Merch topic related set up 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 PO’s 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

Minimum Education Required:

  • 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
  • Data management experience

Functional Competencies:

  • 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

LOCATION

Zaventem, Belgium

FULL TIME/PART TIME

Full time

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Business Analytics Business Intelligence Data analysis Data management Data Mining Data pipelines Excel Machine Learning Pipelines Python R Research Security SQL Statistics Tableau

Perks/benefits: Career development

Region: Europe
Country: Belgium

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