Data Analyst V (6347)

Dan.com - a GoDaddy brand; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote US work arrangement

12-month contract with extension

Medical, dental, vision, and life

Job summary

Dan.com - a GoDaddy brand is seeking a senior data analytics professional to lead analysis across customer journey data. You will apply SQL, Python or R, and ML/NLP techniques to identify trends and enable improvements.

The role requires cross-functional collaboration and the ability to translate complex data into actionable insights. The position emphasizes developing KPI scorecards, integrating feedback with operational data, and presenting results to stakeholders.

Qualifications

• Degree in analytics or a quantitative field.
• 8+ years of data analytics experience.
• 2+ years in CX, support, or marketing analytics.
• Strong SQL and Python/R skills.
• Experience with predictive analytics or ML techniques.
• Experience with Generative AI and AI tools preferred.

Responsibilities

• Analyze large datasets with SQL, Python, or R and identify trends.
• Synthesize surveys and analytics across the customer journey.
• Apply ML, NLP, and statistical methods to customer conversations and tickets.
• Develop customer segmentation and KPI scorecards.
• Integrate feedback with operational data to drive actions.
• Present findings to stakeholders and drive improvements.

Skills

SQL

Python

R

Data analysis

Stakeholder communication

Cross-functional collaboration

Education

Bachelor's degree

Master's or Ph.D. (quantitative field)

Tools

Pandas

scikit-learn

TensorFlow

PyTorch

Job description

Description:

• Analyze large datasets with SQL, Python or R, and statistical methods to identify customer experience trends and improvement opportunities.
• Synthesize surveys, digital analytics, behavioral data, operational metrics, and support interactions across the customer journey.
• Apply statistical modeling, predictive analytics, machine learning, and NLP to customer conversations, transcripts, and tickets.
• Develop customer segmentation and clustering models and recommend targeted solutions, including self-service resources.
• Integrate customer feedback with transactional, operational, and behavioral data to identify drivers of satisfaction and business outcomes.
• Design and launch customer experience and support KPI scorecards across digital, AI-powered, and human-assisted channels.
• Use Generative AI, LLMs, and AI agents to automate analysis, clean data, generate visualizations, and streamline workflows.
• Measure the business impact and ROI of customer experience initiatives.
• Present analytical findings clearly to stakeholders and drive corrective actions.
• Participate in internal practice meetings, thought leadership, case studies, networking, and Digital Transformation initiatives.

Requirements:

• Bachelor’s degree in Analytics, Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field.
• 8+ years of experience in data analytics, data science, or a related field.
• 2+ years of experience in customer experience, customer support, customer insights, or marketing analytics.
• Strong SQL skills and proficiency in Python or R.
• Experience with statistical analysis, including correlation analysis, multivariate regression, and feature-importance methods.
• Experience with predictive analytics, machine learning, or AI techniques.
• Working knowledge of Generative AI, LLMs, AI agents, and AI-powered analytical tools.
• Ability to translate complex, multi-source data into actionable stakeholder insights.
• Strong cross-functional collaboration and communication skills with non-technical audiences.
• Experience with CX or VoC metrics such as NPS, CSAT, surveys, and customer feedback preferred.
• Master’s or Ph.D. in a quantitative field preferred.
• Familiarity with Pandas, scikit-learn, TensorFlow, or PyTorch; consumer electronics, retail, or large technology company experience preferred.
• Must be available for Central or Pacific Time hours and work as a direct W2 candidate; sponsorship is unavailable.

Benefits:

• Remote US work arrangement.
• 12-month contract with potential extension or conversion.
• Medical, dental, vision, and life insurance benefits.
• 401(k) plan with matching.
• Paid holidays.
• Career learning, development, networking, and fast-track opportunities.