IT Data Analytics Specialist
Mandaluyong City, Philippines
Vertiv
Vertiv is a global leader in critical digital infrastructure for data centers, telecom, and other environments, offering end-to-end power and cooling.Join a High-Performance Culture That Drives Innovation and Excellence
At Vertiv, we don’t just hire talent—
we cultivate leaders who drive innovation and engage teams to push the limits of what’s possible. As a global leader in critical digital infrastructure, we are scaling up to meet the demands of AI, data centers, and next-gen technology—and we need bold, high-performing individuals like YOU to take us to the next level.
Why Vertiv?
- High-Performance Culture: We empower you to think big, execute with excellence, and deliver impact. Our performance-driven mindset rewards those who challenge the status quo and drive meaningful change. Over 50 CEO Awards are given annually to recognize top talent moving the needle forward.
- Leadership Without Limits: Leadership at Vertiv goes beyond just titles—it’s about accountability, trust, and ownership. Our leaders engage and drive with collaboration, innovation, and customer-centric thinking, setting the foundation for an action-focused culture.
- Limitless Growth & Learning: We believe in continuous development. Whether through rotational programs or high-impact projects, you’ll have the opportunity to expand your expertise and grow your career.
- A Place for Everyone: Our commitment to Inclusion ensures that all employee’s unique strengths and perspectives are valued. Your voice matters, your growth is prioritized, and your success is celebrated.
Job Summary:
We are seeking an experienced Data Analytics Specialist to join our Procurement Business Intelligence team. The ideal candidate will be responsible for designing, implementing, and maintaining our data architecture while ensuring optimal performance and reliability of our Procurement data systems and related data processing capabilities.
Key Responsibilities:
- Design and implement efficient database solutions and data pipelines
- Develop and maintain ETL processes using industry-standard tools
- Optimize database performance through normalization and denormalization strategies
- Create and maintain documentation for database structures and processes
- Collaborate with IT and regional SMEs to support their data needs
- Implement data quality controls and monitoring systems
- Write and optimize complex SQL queries for data extraction and transformation
- Automate routine data operations using bash/unix scripting
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field
- 5+ years of experience in data engineering or similar role
- Strong proficiency in SQL and relational database management systems (RDBS)
- Experience with database optimization techniques including normalization and denormalization
- Solid understanding of OLAP concepts and implementation
- Proficiency in bash/unix scripting for automation
- Experience with Snowflake and Snowsight
- Strong problem-solving and analytical skills
- Excellent communication skills and ability to work in a team environment
Preferred Qualifications:
- Experience with cloud-based data warehousing solutions
- Knowledge of data modeling and architecture
- Experience with data visualization tools
- Understanding of data security and compliance requirements
- Experience with version control systems (e.g., Git)
The successful candidate will embrace Vertiv’s Core Principals & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.
OUR STRATEGIC PRIORITIES
- Customer Focus
- Operational Excellence
- High-Performance Culture
- Innovation
- Financial Strength
OUR BEHAVIORS
- Think Big and Execute
- Act With Urgency
- Own It
- Drive Continuous Improvement
- Promote Transparent and Open Communication
- Learn and Seek Out Development
- Foster a Customer-First Mindset
- Lead by Example
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Business Intelligence Computer Science Data Analytics DataOps Data pipelines Data quality Data visualization Data Warehousing Engineering ETL Git OLAP Pipelines RDBMS Security Snowflake SQL
Perks/benefits: Career development
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