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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Experience Insights Analyst - **Company:** New York, Inc. - **Location:** Cleveland, OH, United States - **Salary:** $58,500.0 - $83,500.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Operational Data Store, Data Analytics - **Published:** June 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e6c507a875dd16cc ## About the Role Do you have experience in Data-driven problem-solving?, * Experience in customer experience, insights, analytics, quality, or service operations. * Strong analytical and problem-solving skills * Experience translating data into actionable business recommendations * Ability to collaborate effectively across teams and stakeholders * Strong written and verbal communication skills * Experience working with operational data, interaction analysis, and customer feedback * Familiarity with call analytics, speech analytics, or interaction intelligence tools * Experience building operational reporting models * Experience supporting cross-functional initiatives or projects Critical Skills * Analytical thinking * Journey-centric problem solving * Root cause analysis * Executive storytelling * Data interpretation * Operational awareness * Influence and collaboration * Prioritization and decision-making * Experience design mindset #LI - EM1 ## Description The Experience Insights Analyst is responsible for identifying, analyzing, and supporting the prioritization of advisor and client experience opportunities across key service and operational journeys. This role shifts the organization from a traditional call-monitoring approach to a journey-centric insight model focused on improving ease of doing business, reducing friction, and driving measurable business outcomes. The role combines experience analysis, operational insight generation, and cross-functional partnership to identify root causes of breakdowns and influence enterprise-wide improvements. This individual will partner closely with Quality, Training, VoC, and business leaders to ensure experience insights support actionable improvements., * Analyze advisor and client journeys to identify friction points, breakdowns, repeat contacts, rework loops, and service inefficiencies * Translate interaction signals and operational data into actionable business insights * Support journey-level root cause analysis across service experiences * Identify emerging themes, high-risk experience patterns, and opportunities for operational improvement * Prioritize insights based on customer impact, advisor effort, operational risk, and business value Journey & Experience Analysis * Evaluate end-to-end experiences rather than isolated interactions * Focus on key journeys such as: o Sales-to-service handoffs o New business and NIGO experiences o Advisor servicing journeys o Claims and escalations o Follow-up and status call drivers * Support the development and maintenance of experience questions, success measures, and insight priorities for assigned journeys Signal Capture & Insight Development * Utilize targeted sampling models and interaction reviews to capture experience signals * Conduct targeted call and interaction studies focused on understanding why experiences break down * Leverage qualitative and quantitative data to validate themes and recommendations * Develop concise, executive-level insight summaries and recommendations Cross-Functional Partnership * Partner with Operations, Service, Quality, Training, Process Owners, and Leadership teams to drive action planning * Support insight review sessions and root cause discussions with business stakeholders * Support governance processes that connect insights to actions and measurable outcomes Reporting & Business Impact * Create dashboards, summaries, and executive-ready insight presentations * Track actions, improvement initiatives, and outcome effectiveness * Measure trends related to ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Dos and don'ts with react hooks. 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