Manager Sales Data Analytics

Vertiv Co; Mandaluyong; On-site; PHP 1,800,000 - 2,800,000; Full time

Job summary

Vertiv Co seeks a senior data analytics leader to develop and implement tools, technology, and strategies that translate data into actionable insights for business decisions.

You will manage a pool of analysts supporting sales and operations, enabling knowledge transfer, contingency planning, and career growth. The role requires extensive experience in data governance, reporting, and analytics across multiple functions.

Qualifications

• 10+ years relevant work experience with proven track record on data management and governance
• Experience working across all levels of the organization, functions, and countries
• Experience using technology to improve processes and deliverables
• Ability to work under pressure, manage multiple tasks and deliverables with accuracy
• Experience leading a team of analysts and developing their skills
• Proficiency in BI/analytics platforms and data engineering/programming languages

Responsibilities

• Act as data analytics champion and business partner across sales, operations and leadership
• Collaborate with leaders to identify gaps in data analytics
• Design and maintain data models, dashboards, and performance metrics
• Ensure data accuracy and timely deliverables
• Visualize data-driven stories with clear insights and recommendations
• Improve processes through technology to increase team productivity
• Develop data integrity controls and standards
• Train stakeholders on analytics tools and systems
• Lead and grow a team of analysts
• Manage analyst capacity across programs and stakeholders
• Explore AI-driven analytics and automation for insights
• Plan engagement and retention strategies for the team
• Mentor internal talent and succession planning
• Support analytics, reporting, data management, and sales operations

Skills

Power BI

Snowflake

CRM Systems

Excel

Python

SQL

DAX

Leadership

Strategic Planning

Data Governance

Data Modeling

Education

Bachelor's degree in Business/DS/IS

Master's degree in related field

Tools

Power BI

Snowflake

Oracle Sales Cloud Redwood

Excel

Job description

POSITION SUMMARY

This role will be responsible for developing and implementing comprehensive tools, technology, and strategies that will transform data into actionable business insights allowing organizational leaders to make informed business decisions. This includes data management and governance as well as developing management reports according to business requirements and standards. The role will be managing a pool of analysts supporting the various sales and operations programs allowing for knowledge transfer, contingency planning, and career growth.

RESPONSIBILITIES

• Act as data analytics champion and business partner, advancing the relevance of data analytics in strategic planning and informed business decisions across sales, operations, and functional leadership


• Work closely with the sales, operations, and other functional leaders to identify and address gaps in data analytics


• Design, build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.


• Ensure accuracy of data and timeliness of deliverables


• Visualize and communicate data-driven stories followed by clear insights and recommendations


• Continuously manage and optimize processes through technology and reviews allowing the team to accomplish more with the same and achieve operational agility as the business continues to evolve


• Develop and implement data integrity controls and standards


• Train stakeholders on various data analytics tools / systems developed and educate them on how to leverage these to manage their respective businesses.


• Inspire, lead, and grow a team of analysts that will support the team’s initiatives


• This role serves as the supply-side lead in the team's demand-supply operating model, managing the analyst pool to deliver against prioritized business requirements.


• Manage analyst capacity and resource allocation across multiple concurrent programs and stakeholders, ensuring balanced workload and timely delivery.


• Explore and champion AI-driven analytics, automation tools, and emerging technologies to enhance team productivity and insight quality


• Plan and implement team engagement and retention strategies fostering a high-performance culture


• Identify and develop internal talent pipelines through structured mentoring, skills development, and succession planning to ensure leadership continuity and reduce key-person dependencies.


• Other functions related to business analytics, reporting, data management, process improvements and automation, and sales operations and support.

QUALIFICATIONS

• 10+ years relevant work experience with proven track record on:
  
  
  
  • Data management and governance: turning data from multiple sources into actionable insights
  
  
  • Working closely across all levels of the organization, functions, and countries
  
  
  • Employing technology in improving processes and deliverables
  
  
  • Ability to work under pressure, handle multiple tasks and deliverables within expected timelines and accuracy, and prioritize tasks accordingly
  
  
  • Managing a team of analysts and developing their technical skills and business acumen
  
  
  • Proficiency in BI/analytics platforms (\"i.e., Power BI, Snowflake\"), CRM systems (i.e., Oracle Sales Cloud Redwood), advanced Excel/data tools, and data engineering/programming languages (e.g., Python, SQL, DAX).
  
  

  • Bachelor's degree in Business, Data Science, Statistics, Information Systems, or related field; Master's degree on related field would be an advantage

  
  


• Key competencies:
  
  
  
  • Leadership & Communication
  
  
  • Business Acumen
  
  
  • Strategic & Operational Planning
  
  
  • Strategic & Operational Agility
  
  
  • Problem Solving
  
  
  • Data management and analysis (including technology, research, and reporting)
  
  
  • Change Management, Stakeholder Management, and AI/Technology Adoption