Customer Data Analyst

Mô tả Công việc
1. Data Management
Gather, clean, and organize large datasets from various sources, customer surveys, transaction records, and online analytics tools.
Ensure data integrity and accuracy by performing regular data audits and validation.
2. Data Analysis
Analyze customer behavior and trends to identify opportunities for improving customer engagement and retention.
Develop segmentation models to understand different customer groups and their preferences.
Perform deep dives into customer data to uncover insights on customer lifetime value, churn, and acquisition patterns.
3. Reporting & Visualization
Create and maintain dashboards and reports that provide actionable insights to stakeholders.
Present findings to cross-functional teams, including marketing, product, and customer service, to inform strategic decisions.
4. Team Leadership & Collaboration
Analyze customer feedback and survey data to identify pain points and areas for improvement in the customer journey.
Monitor and report on customer satisfaction metrics and recommend actions based on trends.
Collaborate with the marketing and customer service teams to develop and refine customer personas.
5. Predictive Analytics
Utilize predictive modeling techniques to forecast customer behavior, including churn probability and potential lifetime value.
Develop and implement models to predict the success of customer retention strategies and campaigns.
Gather, clean, and organize large datasets from various sources, customer surveys, transaction records, and online analytics tools.
Ensure data integrity and accuracy by performing regular data audits and validation.
Analyze customer behavior and trends to identify opportunities for improving customer engagement and retention.
Develop segmentation models to understand different customer groups and their preferences.
Perform deep dives into customer data to uncover insights on customer lifetime value, churn, and acquisition patterns.
Create and maintain dashboards and reports that provide actionable insights to stakeholders.
Present findings to cross-functional teams, including marketing, product, and customer service, to inform strategic decisions.
Analyze customer feedback and survey data to identify pain points and areas for improvement in the customer journey.
Monitor and report on customer satisfaction metrics and recommend actions based on trends.
Collaborate with the marketing and customer service teams to develop and refine customer personas.
Utilize predictive modeling techniques to forecast customer behavior, including churn probability and potential lifetime value.
Develop and implement models to predict the success of customer retention strategies and campaigns.