Senior Staff Analyst, Customer Research and Intelligence
EquinixAbout the role
Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.Job Summary
We’re seeking a seasoned Senior Staff Analyst of Primary Customer Research and Field Intelligence to lead our customer insight and Field Intelligence initiatives and shape how we understand and act on customer needs. This leader will design and execute research programs that directly influence our product, marketing, and customer experience strategies. The ideal candidate combines deep research expertise with business acumen and storytelling skill.
The role requires active collaboration with the team in California, USA, and calls for a global operating mindset—one that embraces adaptable work hours as an opportunity to connect, contribute, and drive meaningful impact across time zones.
This role resides within Equinix’s Enterprise Data & Analytics team, and reports to the Senior Director of Data Product, Go-To-Market.
Responsibilities
Lead the design and execution of primary research programs, including quantitative surveys, qualitative interviews, ethnographies, and concept testing
Translate complex customer insights into clear, actionable recommendations that guide strategic decisions across product, marketing, and CX teams
Oversee the research roadmap and manage partnerships with external research vendors and agencies
Champion customer-centricity across the organization by embedding research insights into planning and go-to-market processes
Manage and mentor a team of researchers, ensuring best practices in methodology, analysis, and stakeholder communication
Work cross-functionally with analytics, data science, and UX research to integrate multiple data sources for a holistic view of the customer
Present executive-level insights that inform C-suite priorities, market positioning, and innovation strategy
Partner with Go-To-Market and engineering teams as a peer
Work side-by-side with Go-To-Market, Engineering, AI and data science leadership to evaluate technical options, identify technical tradeoffs, estimate effort, and make architecture recommendations where applicable
Critique and challenge inflated estimates and oversimplified proposals; know when a "simple" request is actually complex
Guide engineering toward pragmatic solutions when requirements are ambiguous or shifting
Drive business impact through stakeholder partnership
Build trust-based relationships with senior business stakeholders by understanding their strategy, pain points, and how data and AI solutions can help
Run monthly/quarterly portfolio reviews to ensure delivery stays on track and aligned to business needs
Set clear expectations, push back on low-value requests, and educate stakeholders on what's possible and what's not
Frame ambiguous problems, generate hypotheses, and drive to recommendations when there's no clear precedent
Manage through transition and complexity
Lead data product continuity during a major technology stack migration; ensure critical reporting capabilities remain intact as systems transition over multiple quarters
Partner with engineering to design interim solutions that bridge old and new data models during migration
Balance strategic roadmap work with operational needs; protect time for building while keeping the lights on for products in ‘maintenance’ mode
Bring outside-in perspective
Stay current on analytics, AI/ML, and data product trends; bring relevant innovations (e.g., Product 360 approaches, AI-augmented BI, knowledge graphs) to inform roadmap decisions
Serve as a trusted adviso
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