CX Data Analyst

Intelliswift - An LTTS Company; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Intelliswift - An LTTS Company is seeking a Data Analytics Engineer to join its Customer Experience (CX) team. You will design analytics solutions across the customer journey, build predictive models, and create dashboards to communicate insights to stakeholders.

You will partner with cross-functional teams, improve data foundations and governance, and apply best practices in visualization to influence product and service improvements.

Qualifications

• Master’s degree required in Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in data analytics, business intelligence, or data science.
• Experience with CX and VoC domains is preferred.
• Proficiency in SQL and at least one programming language such as Python or R.
• Experience with ML concepts and frameworks (e.g., scikit-learn, TensorFlow).
• Hands-on experience with BI/visualization tools (Tableau, Power BI).
• Strong communication, presentation, and stakeholder management skills.

Responsibilities

• Design, develop, and maintain data models, queries, reports, and visualizations that support customer journey analytics.
• Analyze customer interactions, feedback, and behavioral data to provide actionable insights.
• Build and deploy predictive models to forecast customer behavior and optimize support operations.
• Create interactive dashboards and data visualizations to communicate insights to stakeholders.
• Collaborate with customer service, operations, product, and engineering teams to integrate analytics into decision-making.
• Define and track KPIs to measure the effectiveness of customer experience initiatives.
• Stay up to date with best practices in advanced analytics, ML, and visualization tools.

Skills

SQL

Python/R

ML concepts

Tableau/Power BI

CX/VoC domain

Communication

Stakeholder management

Education

Master’s degree in Computer Science, Statistics, Mathematics, or related field

Tools

Tableau

Power BI

scikit-learn

TensorFlow

Job description

We are seeking a Data Analytics Engineer to join our Customer Experience (CX) team. In this role, you’ll help unlock the power of customer feedback and insights to drive business improvements. Your expertise in data analytics will enable us to better understand customer needs, preferences, and behaviors, ultimately enhancing satisfaction and strengthening brand loyalty.

You will partner with cross-functional teams across the customer journey to design and scale analytics solutions, while also improving data foundations, governance, and visualization best practices. By analyzing complex datasets and uncovering trends, patterns, and correlations, your work will directly influence the future of our products and services.

Key Responsibilities

• Design, develop, and maintain data models, queries, reports, and visualizations that support customer journey analytics.
• Analyze customer interactions, feedback, and behavioral data to provide actionable insights.
• Build and deploy predictive models to forecast customer behavior, identify potential issues, and optimize support operations.
• Create interactive dashboards and data visualizations to communicate insights to stakeholders.
• Collaborate with customer service, operations, product, and engineering teams to integrate analytics into decision-making.
• Define and track KPIs to measure the effectiveness of customer experience initiatives.
• Stay up to date with best practices in advanced analytics, machine learning, and visualization tools.

Minimum Qualifications

• Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in data analytics, business intelligence, or data science.
• Experience working with operations functions, ideally in customer experience or customer support.
• Strong knowledge of customer experience (CX) and voice of customer (VoC) domains.
• Proficiency in SQL and at least one programming language such as Python or R.
• Experience with machine learning concepts and frameworks (e.g., scikit-learn, TensorFlow).
• Hands-on experience with BI/visualization tools (e.g., Tableau, Power BI).
• Strong communication, presentation, and stakeholder management skills.

Preferred Qualifications

• Knowledge of natural language processing (NLP) techniques.
• Familiarity with customer support platforms (e.g., Salesforce).
• Relevant certifications (e.g., Certified Data Scientist).
• Experience with Agile methodologies and version control systems such as Git.
• Background in high-volume consumer technology or electronics industries.