Customer Data Analyst - Remote - United States

Publicado en CazViden Johnny Cannon

Join Johnny Cannon as a Customer Data Analyst. Remote role in the USA offering $75,000/year. Use SQL and data visualization to drive customer insights.

Verificado por CazVidhace 8 horasVigente hasta: 19 oct 2026

Salario

USD 75,000 per year

Ubicación

United States

Tipo de empleo

Tiempo completo

Modalidad

Remoto

Customer Data Analyst - Remote - United States

USD 75,000 per year

Postularme

Descripción del empleo

Johnny Cannon is seeking a dedicated 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. As a Customer Data Analyst, you will leverage data to understand customer behavior deeply and drive strategic business decisions.

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.

This role involves daily collaboration with team members across departments, including marketing, sales, and product teams, ensuring data-driven decisions are effectively implemented. You will report to a manager and contribute significantly to the organization's success by fostering a culture of data-driven insights.

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