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.
Salary
$75,000 per year
Location
United States
Employment type
Full time
Workplace
Remote
Customer Data Analyst - Remote - United States
$75,000 per year
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.