Senior Manager, Customer Segmentation Analytics - Equinix
Toronto, ON
About the Job
Who are we?
Equinix is the world’s digital infrastructure company®, operating over 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 providing an equitable work environment that is foundational to our core values as a company and is vital to our success.
Senior Manager, Customer Segmentation Analytics
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.
Requirements and Skills:
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.
Qualifications:
10+ years of related experience in Segmentation Analytics
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.
As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:
USA Benefits eBook
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.
As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:
USA Benefits eBook