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Data Analytics Manager

  • JR-152180
  • Hybrid
  • Manila
  • Data Science, Reporting and Analytics
  • Full time

Who are we?

Equinix is the world’s digital infrastructure company®, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. 

 

A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. 

The Data Analytics Manager is an Expert Level Role responsible for driving high-impact, data-driven insights and business analysis to optimize enterprise operations and strategic decision-making. Leveraging deep expertise in data analysis, business process optimization, and stakeholder collaboration, this role delivers actionable outcomes across business functions. While primarily focused on technical excellence and cross-functional influence, the role includes team management responsibilities to guide and support small analytics teams or project-based contributors. 

This role is in a Flexible Hybrid Set-up with 2x a week Onsite Expectations in Equinix Hub at Glas Tower, Ortigas Center, Pasig City.

Key Responsibilities 

Data Exploration and Insights 

  • Analyze complex datasets from enterprise systems (e.g., CRM, ERP, financial platforms) to uncover trends, patterns, and opportunities for business improvement. 

  • Develop and monitor key performance indicators (KPIs) to measure and enhance performance across functions like marketing, sales, or operations. 

Business Analysis and Process Optimization 

  • Conduct in-depth business analysis to evaluate processes, identify inefficiencies, and recommend data-driven solutions to enhance operational effectiveness. 

  • Translate business requirements into analytical frameworks, ensuring alignment with enterprise goals and stakeholder needs. 

Advanced Reporting and Visualization 

  • Design and deliver sophisticated ad hoc and scheduled reports, incorporating visualizations to provide clear, actionable insights for stakeholders. 

  • Develop and maintain dashboards and reporting tools to support real-time decision-making across enterprise functions. 

Stakeholder Engagement 

  • Partner with cross-functional teams (e.g., marketing, sales, finance, operations) to clarify requirements and scope analytics projects. 

  • Present complex insights and recommendations to non-technical stakeholders, enabling data-informed strategic decisions. 

 

Analytics Consulting 

  • Provide expert guidance to business leaders on data interpretation, visualization techniques, and leveraging insights for strategic initiatives. 

  • Support stakeholders in presenting data-driven findings and addressing complex business questions effectively. 

Data Audit and Quality Assurance 

  • Perform periodic audits of data within enterprise systems (e.g., Salesforce) to ensure accuracy, consistency, and compliance with governance standards. 

  • Implement processes to maintain high data quality standards and resolve discrepancies, ensuring reliable analytics outputs. 

Enterprise Optimization 

  • Drive business outcomes through analytics, optimizing areas such as customer segmentation, supply chain efficiency, or financial forecasting. 

  • Support strategic initiatives with data-driven recommendations to improve revenue, cost efficiency, or customer engagement. 

  • Optimize and curate existing datasets for predictive analytics and data modelling 

Team Management  

  • Guide and support small analytics teams or project-based contributors, providing technical direction and ensuring alignment with project goals. 

  • Collaborate with team members to share best practices and enhance analytical capabilities, with minimal direct supervisory responsibilities. 

Qualifications 

Experience 

  • 7+ years of experience in data analytics, business intelligence, or business analysis, with a proven track record as an expert contributor in enterprise environments. 

  • 1–2 years of experience in team management or project leadership, guiding small teams or contributors in analytics projects. 

  • Demonstrated expertise in delivering actionable insights across functions. Significant exposure on Sales Functions is a plus. 

Education 

  • Bachelor’s degree in Statistics, Mathematics, Business Analytics, Computer Science, Economics, or a related quantitative field.

Technical Skills 

  • Advanced proficiency in SQL and Python (required). 

  • Expertise in data visualization tools (e.g., Tableau, Power BI, Looker) and querying data from enterprise systems (e.g., Salesforce, SAP, Oracle). 

  • Experience with business intelligence frameworks, statistical tools, or process modeling tools (e.g., BPMN, Visio) is a plus. 

  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for enterprise data integration. 

Critical Skills

  • Exceptional communication and presentation skills, with the ability to translate complex insights into clear, business-focused recommendations. 

  • Strong problem-solving and critical-thinking skills, with a focus on driving measurable business impact. 

  • Proven stakeholder management experience, with a customer-centric approach for client-facing roles. 

  • Ability to provide light guidance to team members while maintaining a primary focus on individual contributions. 

Preferred Qualifications 

  • Experience in business analysis, including process mapping, requirements gathering, or operational optimization in enterprise settings. 

  • Background in delivering analytics solutions for cross-functional business units in fast-paced, tech-driven organizations. 

  • Knowledge of data governance and compliance frameworks (e.g., GDPR, CCPA). 

  • Familiarity with predictive analytics or statistical modeling for business insights. 

 

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.  If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. 

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