- Job Title: Customer Voice Analysis
- Company: Myntra
- Degree: Any Graduate Can Apply
- Salary: Rs. 20k – 30k/- PM
- Location: Work From Home
- Experience: Freshers/Experienced Both Eligible.
Job Description: Customer Voice Analysis
Are you passionate about unraveling insights from patron interactions? Myntra, India’s leading style and lifestyle e-commerce platform, is searching for a skilled Customer Voice Analysis Specialist to join our dynamic team.
In this function, you will be chargeable for leveraging superior analytics and technologies to investigate purchaser voice facts and extract actionable insights that force enterprise boom and beautify patron revel.
Key Responsibilities:
- Voice Data Analysis: Utilize current equipment and techniques to analyze client voice statistics captured from diverse touchpoints such as calls, chats, and surveys. Extract meaningful insights related to customer options, sentiment, conduct patterns, and pain factors.
- Sentiment Analysis: Develop algorithms and models to carry out sentiment analysis on voice facts. Understand purchaser feelings, discover developments, and categorize comments into effective, impartial, or negative sentiments.
- Customer Experience Enhancement: Collaborate with move-functional groups such as Customer Support, Product Management, and Marketing to translate voice statistics insights into actionable techniques. Drive initiatives aimed at improving consumer experience based on analysis findings.
- Performance Metrics: Define and track key overall performance metrics related to customer voice evaluation. Continuously verify the effectiveness of analysis methodologies and advise improvements.
- Data Visualization: Create compelling visualizations which include dashboards and reports to offer evaluation findings to stakeholders. Communicate complex information insights cleanly and concisely.
- Technology Exploration: Stay up to date with emerging technology and traits in voice analytics, device mastering, and natural language processing. Explore innovative gear and methodologies to beautify the accuracy and efficiency of voice statistics analysis.
- Quality Assurance: Implement rigorous excellent assessments and validation methods to ensure certain accuracy and reliability of evaluation results. Collaborate with information engineers to optimize records best and integrity.
Qualifications and Skills:
- Bachelor’s diploma or higher in Computer Science, Statistics, Mathematics, Data Science, or related subject.
- Proven experience in voice facts evaluation, sentiment evaluation, or associated regions.
- Proficiency in programming languages consisting of Python, R, or Java for statistics evaluation and system studying.
- Strong analytical mindset with the capability to translate statistics into actionable insights.
- Experience with voice analytics equipment and technologies (e.g., speech-to-text, natural language knowledge).
- Excellent verbal exchange abilities with the ability to collaborate efficiently with move-functional groups.
- Strong attention to detail and dedication to satisfactory guarantee.
- Ability to thrive in quick-paced, dynamic surroundings and manipulate multiple priorities efficiently.
Why Join Myntra?
Myntra offers a colorful and inclusive work culture where innovation and creativity thrive. As a Customer Voice Analysis Specialist, you’ll have the opportunity to work with a skilled team of professionals and make an extensive impact on shaping patron studies. We accept this as true within continuous learning and increase, offering adequate possibilities for professional improvement and development.
If you’re enthusiastic about leveraging voice records to drive commercial enterprise insights and decorate purchaser pride, we invite you to sign up for us on this exciting journey at Myntra.
How To Now:
Don’t miss this opportunity to be part of Myntra’s journey in revolutionizing customer revel through facts-pushed insights.
Apply now together with your updated resume and a cover letter highlighting your applicable enjoyment and capabilities in patron voice analysis. We look forward to welcoming you to our crew!
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