[Hiring] Customer Experience Analyst @Executive InQuest

Remote Full-time
Job Title: Customer Experience Analyst

Location: United States- Fully Remote

Employment Type: Full- Time

Must Be a U.S. Citizen

Job Overview:
The Customer Experience Analyst is responsible for gathering and interpreting data related to customer needs, satisfaction, and perceptions to support programs and projects. This role involves conducting surveys, analyzing customer feedback, and generating insights that drive operational improvements. The ideal candidate will collaborate with cross-functional teams to identify customer pain points, recommend process enhancements, and ensure customer-centric strategies are embedded within the organization.

Key Responsibilities:
• Collect, analyze, and interpret customer data to identify trends, patterns, and areas for improvement.
• Conduct surveys, focus groups, and interviews to gather feedback from both internal stakeholders and external customers.
• Develop comprehensive reports that present actionable insights to program and project management teams.
• Identify process improvement opportunities to enhance data collection methods and customer experience.
• Collaborate with service designers, data engineers, analysts, and subject matter experts for holistic analysis.
• Integrate customer data insights into business strategies to promote operational rigor and continuous improvement.
• Assist in identifying relevant datasets and support data-driven decision-making across projects and programs.
• Apply statistical methods, regression modeling, and predictive analytics to interpret customer behavior.
• Present findings and recommendations to technical and non-technical audiences effectively.

Required Qualifications:
• Minimum of 3 years of experience in a technical or functional consulting role, research position, or relevant industry experience.
• Proven ability to present data-driven insights to clients and decision-makers.
• Bachelor's degree required (additional qualifying experience may substitute for education on a year-for-year basis).

Preferred Skills:
• Proficiency in data manipulation languages (e.g., SQL, Python, R).
• Strong knowledge of statistical methods, behavioral data analysis, and predictive analytics.
• Experience with conflict resolution techniques and diverse research practices.
• Familiarity with low-code platforms and data visualization tools.

Soft Skills:
• Strong analytical and critical thinking abilities.
• Excellent communication and presentation skills.
• Ability to work collaboratively with cross-functional teams.
• Passion for enhancing the customer experience through data-driven insights.

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