Technology Consulting - Data Technical Business Analyst

EY Company Limited (Ernst & Young)

Ey Company Limited (Ernst & Young) (Bangkok, Bangkok City, Thailand)

Bangkok, Thailand

EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Klik untuk mencari pekerjaan serupa di Thailand:

Fungsi pekerjaan: Penjualan & Pengembangan Bisnis

Industri: Layanan Perbankan & Keuangan Layanan Manajemen dan Konsultasi

Detail posisi

EY Data competency has strong data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We are looking for a Data Technical Business Analyst in Thailand office. This role is offered on a full-time basis.

Kewajiban

As a Data Technical Business Analyst, you will liaise with clients to:
• You will be involved in all aspects of the project life cycle, including strategy, road-mapping, architecture, implementation and development
• You will work with business and technical stakeholders to gather and analyse business requirements to convert them into the technical requirements, specifications, mapping documents
• You will collaborate with technical teams, making sure the newly implemented solutions/technology are meeting business requirements
• Outputs include workshop sessions and documentation including mapping documents
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline

Kualifikasi

Skills And Attributes For Success
• 2-4 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies
• Ability to produce client ready solution, business understandable presentations and good communication skills to lead and run workshops
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models
Ideally, you’ll also have
• Experience in engaging with both technical and non-technical stakeholders
• Strong consulting experience and background, including engaging directly with clients
• Demonstrable Cloud experience with Azure, AWS or GCP
• Configuration and management of databases
• Experience with big data tools such as Hadoop, Spark, Kafka
• Experience with AWS and MS cloud services
• Python, SQL, Java, C++, Scala