Senior Manager, Customer Segmentation Analytics

Who are we?

Equinix is the world’s digital infrastructure company®, operatingover 250 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 providingan equitable work environment that is foundational to our core values as a company and is vital to our success.

Job Summary

We are seeking a highly skilled and experienced Senior Manager of Customer Segmentation Analytics to join Equinix's Revenue Operations Go-To-Market (GTM) Insights & Analytics (IA) team. In this pivotal role, you'll spearhead the transformation of our customer segmentation, tiering, and targeting methods into a cohesive enterprise model. Leading a skilled team, you'll use advanced data-driven techniques like descriptive, predictive and prescriptive analysis, customer lifetime value/journey assessment, needs-based segmentation, and customer intent scoring. This will enable us to gain deeper insights into customer behavior and preferences, facilitating the delivery of exceptional customer experiences through proactive customer care and success engagement, and fine-tune revenue-generating GTM and route-to-market strategies.

Responsibilities

Analytics Strategy

Defines and communicates vision for analytics and analytics priorities, ensuring alignment with business unit priorities and IT's commitment

Data Definitions & Integrity

Confirms data definitions with key stakeholders (including global and regional functional leads, Finance, IT and other functions)

Coordinates with the business unit to fix identified data integrity and inconsistency issues

Tool Selection and Development

Consults with senior management and external subject matter experts to determine next set of analytics that require automation, and identify tools for an automated analytics platform

Partners with:

- Business unit SME's to determine data requirements/constraints

- Information Technology for support and resources Reporting

May supervise compiling and production of executive E-staff level scheduled reports such as quarterly workforce reports

Data Analysis

Mines data for patterns, relationships, issues and consistency on a regular basis

Business Planning/Recommendations

Uses insights from data mining exercise to build advanced analytics reports like org planning, cost analysis, predictive analytics along with implication of data and potential issues (advanced predictive and prescriptive)

Client and Stakeholder Management

Builds relationships and partners with stakeholders (i.e. IT, Finance, business leaders) to understand requests, make recommendations and implement solutions

Coaches client group to present data and insights to business leaders for better adoption and use of insights

Thought Leadership

Brings value to each ask and provides thought leadership and forward thinking analytics that would have a stronger business impact

Provides support and development for Analysts

Qualifications

10+ years of relevant Segmentation Analytics experience

Advanced Analytical Skills and Expertise in Data Analysis Tools: Strong analytical skills with expertise in customer segmentation, tiering and targeting analytics. Proficiency in statistical analysis and data modeling techniques. Experience with data analysis tools such as SQL, R, Python, or similar statistical software. Familiarity with data visualization tools like Tableau or Power BI

Strategic Thinking: Ability to develop segmentation, tiering, and customer targeting strategies aligned with business objectives and market dynamics. Re-imagine current segmentation and tiering approaches into a single enterprise-wide model based on historical spend and future propensity and Customer Lifetime Value (CLTV)

Experience with Customer Segmentation: Previous experience in developing and implementing customer segmentation strategies, including market segmentation, behavioral segmentation, and persona sales and marketing personalization development

Knowledge of CRM Systems: Familiarity with CRM systems such as Salesforce, Gainsight, etc., and their use in customer segmentation, tiering and targeting delivery

Business Acumen: Strong understanding of business concepts and metrics related to customer acquisition, retention, and CLTV. Ability to translate analytical insights into actionable business recommendations

Leadership and Team Management: Experience leading and managing small/specialized teams. Collaborate cross-functionally with stakeholders

Communication Skills: Strong communication skills, including presenting complex analytical findings clearly and concisely to non-technical stakeholders

Problem-Solving Abilities: Demonstrated ability to identify opportunities for improvement in segmentation and targeting strategies through data-driven insights

Industry Experience: Previous experience in relevant industries such as cloud computing, software, or IT services, providing domain-specific knowledge and insights with subscription and pay-as-you-go IT/technology GTM/RTM

Data center, interconnection & digital infrastructure services market experience is desirable but not essential

Demonstrated success in promoting collaboration, driving innovation, and fostering continuous improvement

Understanding of B2B platform & ecosystem business models and their distinct approaches to leveraging networks and interactions for value creation

A good understanding of GTM business strategies and a customer-centric focus

A strategic mindset for aligning efforts with business objectives 

Preferred: Bachelor's degree in a related field (Data Analytics, Data Science, Business Analytics/Administration, Economics/Econometrics, Computer Science, IT, or similar). Optional: Certified Analytics Professional (CAP) or Certified Business Intelligence Professional (CBIP) certification

Experience with Excel, SAS, SPSS, Python, R, ANOVA, MATLAB, Tableau, ESRI, Power Bi, Salesforce, Clari, AI/ML tooling & scripting

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 .

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.

As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:

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 .