Analyst - Customer Performance Analytics
Role Overview
Supports customer analytics and data-driven decisions across the enterprise and Growth Organization.
Translates complex customer data into recommendations that influence growth strategies, customer experience, and financial performance.
Partners with business units and executive leadership and contributes to analytical methods and process improvement.
Key Skills for This Role
Full Job Posting
Role summary
Supports customer analytics and data-driven decisions across the enterprise and Growth Organization.
Translates complex customer data into recommendations that influence growth strategies, customer experience, and financial performance.
Partners with business units and executive leadership and contributes to analytical methods and process improvement.
Location and workplace
- The description specifies an on-site role in Plano, Texas.
Analysis and strategy
- Analyze customer experience data using analytics tools and coding languages such as SQL, SAS, and Python.
- Create visualizations and communicate customer insights clearly across the organization.
- Develop recommendations based on customer performance data and surface emerging trends, risks, and opportunities.
- Partner with Growth teams, business unit leaders, and Marketing leaders to align analytics with business priorities.
Reporting and operational excellence
- Support recurring full-funnel reporting, automated dashboards, and self-service analytics using tools such as Power BI or Sigma, SQL, and Snowflake.
- Contribute to consistent analytical methods, data quality, documentation, validation, prioritization, and project management.
Data sources and tools
- Relevant data includes customer journey, customer transaction, digital clickstream, CRM, and enterprise customer datasets.
- The role uses SQL, SAS, Python, Power BI or Sigma, and Snowflake.
Requirements
- Use analytics tools and coding languages such as SQL, SAS, and Python to execute customer analysis.
- Develop clear business recommendations from complex customer data and communicate insights to stakeholders and leadership.
- Apply data quality, analytical methodology, validation, and documentation practices.
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