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Customer Experience Data Analyst

Jobgether

United States · 정규직

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경험
3년 이상
샐러리
채용 공고
1
게시됨
1시간 전
작업 모드
사무실에서
교육
Associate's or bachelor's degree preferred
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Position Overview

This opportunity is for a Customer Experience Data Analyst based in the United States, tasked with leveraging data-driven insights and analytics to enhance customer operations within a highly regulated healthcare setting. The role is pivotal in supporting processes such as customer onboarding, issue escalation, and service improvements through data analysis, operational excellence, and customer-centric approaches.

Key Responsibilities

  • Evaluate customer onboarding procedures, service interactions, and operational workflows to uncover opportunities that boost efficiency, accuracy, and customer satisfaction.
  • Collaborate with stakeholders to define analytical objectives and deliver actionable insights for strategic decision-making.
  • Create and maintain reporting tools, dashboards, and metrics to track customer experience trends and operational results.
  • Utilize statistical methods, experimentation, and predictive analytics to detect patterns, potential risks, and areas for improvement.
  • Incorporate AI-powered solutions and automation technologies to enhance documentation quality, workflow efficiency, and decision-making support.
  • Optimize customer onboarding by reviewing documentation and identifying gaps, promoting scalable solutions.
  • Conduct quality assurance assessments to ensure compliance with communication standards and operational protocols.
  • Work closely with data teams to enhance the accuracy, availability, and reliability of data used in analysis and reporting.
  • Develop compelling data storytelling materials for both technical and non-technical audiences.
  • Drive continuous improvement efforts by tracking trends, evaluating performance, and proposing operational enhancements.

Required Qualifications

  • Associate’s or bachelor’s degree in Business, Mathematics, Healthcare Administration, Data Analytics, or related disciplines is preferred.
  • At least three years of experience in data analytics, business analysis, customer operations, or similar fields.
  • Proficient in SQL, capable of writing complex queries and manipulating large datasets.
  • Experience with analytical programming languages such as Python or R for advanced data processing and reporting.
  • Knowledge of experimentation techniques including A/B testing and causal inference.
  • Skilled in translating complex analytic results into clear business recommendations.
  • Familiarity with CRM systems, reporting platforms, workflow management tools, and digital collaboration software.
  • Experience with AI-driven productivity, documentation, analytics, or customer support applications.
  • Strong problem-solving, organizational skills, and the ability to manage multiple priorities effectively.
  • Self-motivated with the ability to adapt to ambiguous situations and effectively collaborate across diverse team environments.
  • Detail-oriented with a commitment to accuracy, compliance, and exceptional customer service delivery.

Employee Benefits

  • Competitive pay commensurate with experience and qualifications.
  • Comprehensive medical, dental, and vision insurance offerings.
  • Paid leave programs aimed at fostering work-life balance.
  • 401(k) retirement plans featuring employer matching contributions.
  • Wellness programs focused on health and well-being.
  • Employee support including tailored health and financial wellness resources.
  • Opportunities for professional development and growth within an innovative healthcare environment.
  • Engagement in meaningful projects improving healthcare delivery for patients and providers.
  • A collaborative culture promoting innovation, quality, service excellence, and continuous improvement.

Additional Information

This position serves as a crucial link to advancing healthcare access and innovation while offering a chance to impact patient and provider experiences positively. Applicants should anticipate involvement with an AI-enhanced recruitment process, ensuring efficient and impartial candidate evaluation, though final hiring decisions rest with the hiring organization.

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