Data Analytics Manager (Data Engineering, Azure, SQL)

Prestige Professions Pte Ltd; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Engineering Manager to lead a dynamic team in developing robust data pipelines and optimizing data storage solutions. This role offers promising career prospects and the opportunity to influence data-driven decision-making within the organization. As a leader in Data Strategy and Analytics, you will oversee the design and maintenance of data architectures, ensuring seamless data flow from various sources. Join a conducive working environment that values innovation and teamwork, where your contributions will significantly impact the business's analytical capabilities.

Benefits

Highest remuneration and bonus package

Promising career prospects

Conducive working environment

Qualifications

• 5-8 years of hands-on experience in data engineering and analytics.
• Degree qualification required for this managerial role.

Responsibilities

• Develop robust data pipelines and ensure data quality.
• Lead a team of Data Analysts and manage reporting services.

Skills

Analytical Skills

Data Strategy

Leadership

Education

Degree qualification

Tools

Azure

SQL

PowerBI

SSIS

ETL

Microsoft Office

Job description

• Highest remuneration and bonus package in market
• Promising career prospects
• Conducive working environment

Job Scopes:

• Responsible for developing robust data pipelines, ensuring data quality, and optimizing data storage and retrieval systems to support our organization's data-driven decision-making processes.
• Leading a team of Data Analysts (local and remote), the Manager, Data Engineer & Data Analyst.
• Ensures all company-wide reporting and analytical services are delivered to the business teams.
• Providing leadership in the areas of Data Strategy and Data Analytics and other emerging areas related to the business.
• Design, develop, and maintain data pipelines, ensuring a smooth flow of data from multiple sources to data warehouses or lakes.
• Enable, maintain, and support pipelines to provide unified and reliable data sources.
• Data architecture design and ETL processes.
• Scalability and optimization of data infrastructure.

Job Requirements:

• Degree qualification.
• 5-8 years of related experience (hands-on technical).
• Microsoft Office.
• Proficiency in Azure cloud environment, SQL, PowerBI, SSIS, ETL will be a plus.
• Strong analytical skills.