Customer Data Analyst - Remote - United States

Published on CazVidat Johnny Cannon

Join Johnny Cannon as a Customer Data Analyst in the USA. Full-time remote role, $75,000/year. Analyze customer data and drive business insights.

Verified by CazVid5 weeks agoOpen until: Oct 27, 2026

Salary

$75,000 per year

Location

United States

Employment type

Full time

Workplace

Remote

Customer Data Analyst - Remote - United States

$75,000 per year

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Job description

Johnny Cannon is seeking a skilled Customer Data Analyst to join our team in the United States. This full-time role offers a competitive salary of $75,000 per year and the flexibility of remote work. You will be instrumental in analyzing customer data to drive strategic business decisions and enhance customer understanding.

Key Responsibilities

  • Analyze customer data to identify trends and patterns that inform business strategies.
  • Utilize SQL to extract and manipulate data from databases for reporting purposes.
  • Develop and create visualizations that effectively communicate data findings to various stakeholders.
  • Collaborate with cross-functional teams to ensure alignment of data initiatives with organizational goals.
  • Support the implementation of customer segmentation strategies based on analytical insights.
  • Prepare detailed reports on customer metrics and key performance indicators.
  • Continuously monitor and refine data collection processes for improved accuracy and efficiency.

Required and Preferred Qualifications

  • Bachelor's degree in Data Science, Statistics, or a related field.
  • Proficient in SQL for data manipulation and querying.
  • Experience with data visualization tools to present findings clearly.
  • Strong analytical skills and attention to detail.
  • Ability to work collaboratively within a team environment.
  • Effective communication skills to convey complex data insights.

As a Customer Data Analyst at Johnny Cannon, you will engage daily with team members across departments such as marketing, sales, and product teams. You will report to a manager and contribute to a culture of data-driven decision making using common data analysis tools and frameworks.

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