Insight Global - Sunnyvale, CA

posted 4 months ago

Full-time
Sunnyvale, CA
Administrative and Support Services

About the position

Insight Global is seeking a Customer Experience Analyst for a leading client in the AR/VR industry. This role is integral to a global customer experience practice that is dedicated to enhancing customer experiences throughout the entire customer journey. As a Customer Experience Analyst, you will be responsible for leveraging customer insights to drive business improvements and foster customer-centric decision-making across the organization. Your contributions will be vital in driving customer satisfaction and loyalty by analyzing customer feedback, identifying areas for improvement, and collaborating with cross-functional teams to develop and implement strategies that enhance the overall customer experience. In this position, you will manage end-to-end analytics and reporting, synthesizing customer feedback from various sources such as social media, product reviews, support cases, and voice of customer surveys. You will monitor social media channels to identify emerging trends and issues, conducting deep dive analyses to uncover root causes and pain points. As a champion for the voice of the customer, you will share insights widely and collaborate with business partners to promote customer-centric decision-making. Additionally, you will develop and maintain robust reporting systems to track customer experience metrics and KPIs, integrating direct and indirect customer feedback with other data sources to provide a comprehensive view of product experience drivers. Your role will also involve advocating for customers and influencing corrective actions through periodic and ad-hoc reporting, while proactively evangelizing insights among key stakeholders. You will collaborate with cross-functional teams to design and plan future products and services that address customer issues and desires, and present insights and recommendations compellingly to stakeholders and executives to ensure that customer perspectives are prioritized in strategic decisions.

Responsibilities

  • Manage end-to-end analytics, reporting, and partnerships to enhance product quality and experiences.
  • Synthesize and analyze customer feedback from multiple sources to identify trends, pain points, and areas of improvement for MR and wearable products.
  • Monitor social media channels to identify emerging trends and issues, performing deep dive analysis to uncover root causes and pain points.
  • Champion the voice of customers by sharing insights and collaborating with business partners to promote customer-centric decision-making.
  • Develop and maintain robust reporting systems to track customer experience metrics and KPIs.
  • Integrate direct and indirect customer feedback with other data sources to provide a comprehensive view of product experience drivers.
  • Advocate for customers and influence corrective actions through reporting, evangelizing insights among key stakeholders.
  • Collaborate with cross-functional teams to design and plan for future products and services that address customer issues and desires.
  • Present insights and recommendations compellingly to stakeholders and executives.

Requirements

  • 6+ years of experience in Product Analytics, Social Media Analytics, Data Analytics, and/or customer feedback/survey analysis.
  • 3+ years of experience in customer experience or customer insights analytics.
  • Proficiency in crafting compelling stories using diverse data sources to deliver actionable insights tailored to stakeholder needs.
  • Skilled in using social media analytics tools (e.g., Brandwatch, Sprinklr) or running NLP analysis to translate qualitative data into actionable insights.
  • Proficiency in working with large data sets using SQL.
  • Familiarity with text analytics tools, including query-based and AI-based systems.
  • Experience with social listening and text analytics tools such as Medallia, Qualtrics, Clarabring, Luminoso, Brandwatch, Sprinklr.
  • Proficiency in visualization tools such as Tableau, PowerBI, Looker, etc.
  • Familiarity with gaming, consumer electronics, or retail business.
  • Knowledge of predictive analytics or ML/AI techniques is a plus.
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