Data Analyst V - Marketing Background (REMOTE)

Data Analyst V

Location: USA Remote (Please submit If you happen to have a strong TN Visa candidate)

Please submit 10+ years profiles only

Must Have

1 Very technical with marketing background

2 Customer segmentation for marketing

3 Customer support

4 Comfortable with temporary tables in SQL

5 Strong skills in Python Pandas and data structures

6 Experience with data modeling (regression, NLP).

Machine learning

WIll they have the ability to know if things go wrong using AI

Use AI to accelerate the speed, but know what is being produced

Customer Experience/Customer Support Preferred

As a Customer Experience Analyst, you will be part of a global practice focused on understanding and learning from our customers. You will leverage customer insights to drive business improvements and promote customer-centric decision-making throughout the organization. You will play a pivotal role in boosting customer satisfaction and loyalty by analyzing feedback, identifying areas for improvement, and collaborating with cross-functional teams to develop and implement strategies that enhance the overall customer experience. By combining your strong background in CX/VoC, expertise in data analysis and storytelling, and passion for customer centricity, you will help shape the future of our customer experience program and contribute to the growth and success of our organization.

Responsibilities

Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.

Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.

Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.

Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.

Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.

Integrate customer feedback data with other transactional, operational, and Req Intake Template behavioral data sources to create a comprehensive picture of customer experience drivers.

Advocate for customers and influence corrective actions