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Data Analyst

2 weeks ago

Singapore Louis Vuitton Malletier Full time

**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 inter-dependencies around data capture and injection
- Productize an API solution to support Data-as-a-Service (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 planson analytic data engineering capabilities, standards, and processes

**Additional information**:
**Qualifications & Skills**
- 5-7 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
- Hands-on 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