Senior Data Analyst

Description:- As a CX Analyst for Companies Customer Experience (CX) team, you will join a global team leveraging customer feedback to drive service improvements and business growth. You will analyze support surveys and operational data to identify improvement areas and partner with cross-functional teams to implement enhancement strategies. By applying your expertise in data analysis and storytelling, you will help define the future of our customer support program. Responsibilities:- • Identify trends, opportunities, and pain points across Companies customer support channels using various data sources (customer support operational data, case transcripts, surveys, and other relevant data). • Monitor customer feedback to identify emerging trends and issues and perform root cause analysis. • Integrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of experience drivers. • Advocate for customers and influence corrective actions through periodic and ad-hoc reporting, proactively evangelizing insights among key stakeholders. • Collaborate with cross-functional teams to identify root causes of customer issues within support functions and develop action plans to remediate and measure effectiveness. • Utilize various systems and tools (AI analytics tools, Salesforce, Hive) to analyze and deliver insights. Minimum Years of Experience :- 8+ years experience in data analytics, data science, or related analytical roles Degrees/Certifications:- Candidate Requirements: Must-Have Hard Skills: 1. 8+ years of experience in data analytics, data science, or related analytical roles 1. 6+ years of work experience in analytics, data querying languages such as SQL, and statistical analysis methods 1. Experience with data-led storytelling and demonstrated experience in conveying complex insights to non-technical stakeholders. 1. Experience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback. 1. Experience working with customer support operational metrics 1. Experience with statistical analysis techniques and utilizing R, Python, or similar scripting languages/tools. 1. Experience learning AI experience or open to learning AI and adopting it into workspace 1. 3+ years of experience in customer support, customer service, contact center or other customer support-related analytics roles Nice-to-Have Skills: 1. Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field 1. Proficiency in AI-powered tools: Demonstrated working knowledge of Generative AI technologies (e.g., LLMs and AI agents), with experience designing, prompting, and orchestrating AI systems (e.g., prompt engineering) to automate data analysis, synthesize insights, and execute multi-step analytical tasks (e.g., prompting agents to clean datasets or build visualizations). 1. Experience working with Salesforce 1. Knowledge of predictive analytics or ML/AI techniques Additional Information: What makes this role interesting? Influential in defining tragedies for customer support for virtual reality customers How will performance be measured? Meeting deadlines, executing tasks with accuracy, etc How many rounds of interviews:- 1st round screening- 2nd round technical