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Sr Experience Specialist - Data Analytics

5-8 years

Chennai

1 vacancy

Sr Experience Specialist - Data Analytics

Verizon

posted 1d ago

Job Description

When you join Verizon

You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.

About the Role:
We are seeking a Business Data Analyst with Product Mindset who is passionate about the potential of conversational AI to enhance customer experiences and drive business outcomes. You will be part of the team to do analytics and insights for state-of-the-art AI-driven chat and voice solutions that resonate with our user base, align with business objectives, and set the benchmark in the telecom industry.


What youll be doing...

1. Data Analysis: Extract, clean, and analyze large datasets related to customer and agent interactions with conversational AI channels, identifying trends, patterns, and insights. Also contribute to informed product decisions, ensuring alignment with market trends and user behavior.

2. Collaboration: Work closely with product, engineering, and AI teams to define data requirements, understand AI model outputs, and provide actionable insights.


3. Performance Metrics: Develop and track key performance metrics for our conversational AI tools to gauge effectiveness and areas for improvement.


4. Stakeholder Communication: Present findings and insights to non-technical stakeholders, influencing decision-making processes.


5. Continuous Learning: Stay updated with the latest trends and advancements in the conversational AI and telecom sectors.


6. Customer Journey Mapping: Understand and analyze the customer journey, identifying touchpoints where conversational AI can enhance the user experience.


7. Recommendation Systems: Collaborate on enhancing AI models, using insights from data to improve response accuracy and user satisfaction.


8. Data Visualization: Create intuitive visualizations and dashboards for both technical and non-technical audiences.


9. Quality Assurance: Ensure the integrity, accuracy, and relevance of data sources and analytical outputs.

Youll need to have:


- Bachelors degree in Business, Computer Science, Data Science, Statistics, or a related field.
- 4 or more years of experience in data analytics, preferably within the telecom or AI industry.
- Use case development knowledge.
- Experience working with analytics tools/platforms such as Python, R, SQL, Excel, SAS/SPSS etc and relevant data visualization tools.
- Experience analyzing large datasets with strong analytical skills with an ability to discern business trends.
- Experience summarizing and visualizing analysis outputs.
- Excellent communication skills, both written and verbal.
- A positive attitude, reliability, and a strong eagerness to learn and upskill
- Proactive approach to problem-solving and user experience enhancement.
- Strong understanding of the telecom industry, conversational AI platforms, and their respective challenges.
- Ability to work in a fast-paced, collaborative environment.


Even better if you have:


- Experience in the telecom industry, e-commerce, or customer support domains.
- Proactive approach to problem-solving and user experience enhancement.
- Demonstrable knowledge of Chatbot Flow Guidelines & Principles.
-Masters degree in Computer Science or relevant.
- Knowledge of industry wide best practices when it comes to customer experience.
- Ability to give constructive criticism and challenge co-workers to think at their best.
- Comprehensive understanding of AI/ML technologies and their applications in conversational platforms.
- Experience working with statistical/data mining concepts and techniques.
- Experience managing stakeholders and driving projects/use-cases to completion.
- Experience with clustering/segmentation, Incremental analysis, cohort analysis.
- Previous consulting experience or professional services environment experience.
- Proven ability to communicate effectively at multiple levels: from team members to executive management - Proven ability to negotiate and motivate others.
- Problem solving skills, self-motivation, leadership, and team orientation.
Analytic, technical, and organizational skills.

Why Verizon?

Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice.

  • We are a pay for performance company and your contribution is rewarded through competitive salaries, performance-based incentives and an employee Stock Program. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award program.
  • Your benefits are market competitive and delivered by some of the best providers.
  • You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions.
  • We offer generous paid time off benefits to help you manage your work life balance and opportunities for flexible working arrangements*.
  • Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research.
  • You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment.

Your benefits package will vary depending on the country in which you work.

*subject to business approval



Employment Type: Full Time, Permanent

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