
Senior Staff Analyst, Customer Research and Intelligence
Equinix
full-time
Posted on:
Location Type: Hybrid
Location: Warsaw • Poland
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Salary
💰 PLN 257,000 - PLN 425,000 per year
Job Level
Tech Stack
About the role
- 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 advisor to business partners on what's emerging and what's hype
Requirements
- Bachelor’s degree in Marketing, Business, Behavioral Science, or related field; advanced degree preferred
- 1-3+ years of experience in customer insights, market research, or related fields, with at least 5 years in a leadership capacity
- Proven success in designing and implementing large-scale primary research studies
- Expertise in both qualitative and quantitative methods and in synthesizing research into business impact
- Strong data storytelling and communication skills, including executive presentation experience
- Experience with tools such as Qualtrics, Medallia, SPSS, or similar research platforms
Benefits
- Employee Assistance Program
- Pension plan (PPK)
- Private Medical Insurance (PMI)
- Life and Accident Insurance
- Annual Leaves
- Flex Wallet (flexible spending account)
- Multi-sport Card
- Lunch Pass Card
- Discount Portal
- Statutory allowances and reimbursements (remote working, corrective glasses reimbursement)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
primary researchquantitative surveysqualitative interviewsethnographiesconcept testingdata storytellingdata analysiscustomer insightsmarket researchAI/ML
Soft Skills
leadershipcommunicationstakeholder managementmentoringstrategic thinkingproblem-solvingrelationship buildingcross-functional collaborationtrust-buildingadaptability