Data Analyst for Customer Retention Analysis
Budget: $30 – $250 USD
Project Overview:
We are seeking a freelance Data Analyst / BI Specialist to perform a detailed customer retention analysis and create an interactive dashboard to track customer behavior, retention, and business performance.
What We’ll Provide:
Complete dataset covering:
Customer data (new, existing, churned)
ATV (Average Transaction Value)
Customer traffic/visits
Company-level performance
Service-level performance
Employee-level performance
Data will be shared in structured files (Excel/CSV) or database exports.
Your Responsibilities:
Data Cleaning & Preparation
Organize and validate all datasets.
Unify multiple data sources into one structured model.
Retention Analysis
Define and apply retention metrics (e.g., 30/60/90 days, gender-based lookbacks).
Analyze retention by:
Month
Center/Branch
Gender
Service type
Employee/therapist
Provide insights into customer churn and loyalty trends.
Dashboard Development
Build an interactive dashboard (preferably in Power BI or Tableau).
Key features:
Retention rates & trends
ATV trends
Customer traffic analysis
Service & employee contribution
Filters for time, center, gender, service type
Ensure dashboard is user-friendly and refreshable with new data.
Deliverables:
Cleaned and structured dataset
Retention analysis summary report (insights & recommendations)
Interactive dashboard
Skills Required:
Strong background in data analysis & visualization
Expertise with Power BI / Tableau / similar BI tools
Proficiency in Excel, SQL, or Python for data cleaning
Experience in customer analytics & retention modeling
Project Timeline:
Analysis: 1–2 weeks
Dashboard delivery: 1 week after analysis approval
We are seeking a freelance Data Analyst / BI Specialist to perform a detailed customer retention analysis and create an interactive dashboard to track customer behavior, retention, and business performance.
What We’ll Provide:
Complete dataset covering:
Customer data (new, existing, churned)
ATV (Average Transaction Value)
Customer traffic/visits
Company-level performance
Service-level performance
Employee-level performance
Data will be shared in structured files (Excel/CSV) or database exports.
Your Responsibilities:
Data Cleaning & Preparation
Organize and validate all datasets.
Unify multiple data sources into one structured model.
Retention Analysis
Define and apply retention metrics (e.g., 30/60/90 days, gender-based lookbacks).
Analyze retention by:
Month
Center/Branch
Gender
Service type
Employee/therapist
Provide insights into customer churn and loyalty trends.
Dashboard Development
Build an interactive dashboard (preferably in Power BI or Tableau).
Key features:
Retention rates & trends
ATV trends
Customer traffic analysis
Service & employee contribution
Filters for time, center, gender, service type
Ensure dashboard is user-friendly and refreshable with new data.
Deliverables:
Cleaned and structured dataset
Retention analysis summary report (insights & recommendations)
Interactive dashboard
Skills Required:
Strong background in data analysis & visualization
Expertise with Power BI / Tableau / similar BI tools
Proficiency in Excel, SQL, or Python for data cleaning
Experience in customer analytics & retention modeling
Project Timeline:
Analysis: 1–2 weeks
Dashboard delivery: 1 week after analysis approval
Related categories:
Python
Excel
SQL
Tableau
Business Intelligence
Data Visualization
Data Analysis
Power BI