Data Analyst - Singapore - Louis Vuitton Malletier

Louis Vuitton Malletier

Verified Company

Singapore

1 week ago

Posted by:

Wei Jie

beBee Recruiter

Description

Company:
Louis Vuitton Malletier

Country / Region : Singapore
City : Singapore
Business group: Fashion & Leather Goods
Contract type: Temporary Job
Function: Information Technology/Information System
Experience required: Minimum 5 years
Reference No: LVM19416
Date of publication:

POSITION

The
(Senior/Expert) Data Analyst / Engineer will be responsible for enhancing data connectedness, modernizing data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.

He or she will also support our digital solution architect, BI/data analysts, and business users on data and analytics initiatives, and will be accountable for agile data delivery.

This is a new role in the Louis Vuitton Information Systems & Technology team who is responsible for establishing information as a corporate asset and driving the adoption of data-driven decision making throughout the company.

PROFILE

Duties & Responsibilities

Champion data quality, integrity and reliability by defining and promoting best practices
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
Coordinate with internal upstream system owners to streamline interdependencies around data capture and injection
Productize an API solution to support DataasaService (DaaS) to allow data access and interpretation from internal/external sources
Solve complex data and analytical problems to deliver actionable insights that help our business to achieve their goals
Create data and analytical products to improve integrated business planning
Advise users on data and analytical standards, guidelines, procedures and practices to expedite workflow and ultimately improve operational efficiencies
Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes

Contract Period
12 months

ADDITIONAL INFORMATION

Qualifications & Skills

57 years relevant experience, MNC Retail working experience preferred
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Experience with database schema design and dimensional data modelling
Experience building and optimizing 'big data' data pipelines, architectures, and data sets
Proven track record in using programming languages such as Python, Java, Kafka
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytical skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
Experience testing data products leveraging emerging DevOps technologies
Handson experience with Azure/GCP ; ability to recommend Azure/GCP capabilities to address business demand and to build new business capabilities
Strong knowledge around Azure/GCP data flow/pipeline and pipeline orchestration (ADF), Databricks, Dataiku, Big Query and Power BI or any other BI visualization tools
Process oriented with good documentation skills
Experience with or knowledge of agile software development methodologies
Excellent oral and written communication skills in English with a keen sense of customer service