Principal Customer Analyst

Summary

Join GoDaddy's customer insights team as a Principal Customer Analyst! This remote, senior role requires building, enriching, visualizing, and analyzing customer data to uncover actionable insights and guide strategic decisions. You will collaborate with cross-functional teams, leverage AI-powered tools, and possess advanced SQL and scripting abilities. You'll be responsible for developing customer datasets, leading metric definitions, building diagnostic tools, and forecasting customer behavior. The ideal candidate will have a proven track record in customer analytics and strong communication skills. Make a difference by raising the profile of our team and driving customer strategy!

Requirements

• Have a bachelor’s degree in Business, Statistics, Data Science, or a related field; advanced degree preferred
• Have at least 7 years of experience in customer analytics, data analysis, or a related field. Have a proven track record of driving actionable insights and delivering platform solutions, capabilities, and test & learn opportunities
• Have strong knowledge of customer metrics (e.g., Customer lifetime value, churn, NPS) and their applications
• Have demonstrated aptitude for leading in multiple contexts, such as with data engineers, data scientists, finance, product managers, strategists and executives
• Be proficient in SQL and data visualization tools
• Have expertise in statistical analysis, predictive modeling, and machine learning techniques
• Have hands-on experience in experimental design and measurement, including the math and statistics necessary to interpret and make informed decisions about results
• Have excellent skills in summarizing insights verbally and in writing. Explain complex ideas in simple terms, suitable for all audiences, while also having a deep understanding to provide detailed explanations when necessary
• Understand how foundational data architecture impacts all products and processes downstream, and have experience building optimized foundations. Understand the software development lifecycle and have demonstrated experience building analytics products
• Have the ability to collaborate with others and drive data-informed decisions
• Be proactive and demonstrate the ability to have the answers before the questions are asked
• Have excellent project management skills to balance multiple priorities in a fast-paced environment

Responsibilities

• Develop and QA customer datasets across business units. Ensure accuracy, reliability, and easy consumption of data for analytics. Partner closely with data engineering teams
• Lead on customer level metrics definitions through data governance
• Operationalize customer measurement (scorecards, dashboards, driver trees, cohorts, etc.)
• Build AI powered diagnostic tools for customer retention and churn metrics. Understand the relationships with other business metrics to identify problems and opportunities faster
• Leverage advanced analytics to forecast customer behavior and proactively mitigate risks
• Provide thought leadership in enriching customer data to gather signals from the entire customer journey that will serve various business needs such as pricing, personalization, recommendations, etc
• Deliver customer insights that lead to higher experiment velocity to increase customer engagement, product usage and customer lifetime value
• Foster positive relationships with product, marketing, strategy, and finance teams to craft and implement strategies to enhance customer acquisition, retention, and cross-selling opportunities
• Lead the development of standard processes for customer analytics, particularly in subscription-based businesses
• Mentor and guide junior analysts, promoting a culture of curiosity and analytical rigor

Preferred Qualifications

• Have experience in Amazon QuickSight
• Have knowledge of subscription-based business models
• Love data, like to have fun, and are a realistic optimist
• Pride yourself on being a pioneer and an innovator; enjoy developing solutions that push the boundaries of innovation

Benefits

• Paid time off
• Retirement savings (e.g., 401k, pension schemes)
• Bonus/incentive eligibility
• Equity grants
• Participation in our employee stock purchase plan
• Competitive health benefits
• Other family-friendly benefits including parental leave