Remote Growth Analyst & Reporting Manager

This is a remote position.

Growth Analyst & Reporting Manager

Overview

We are seeking a Growth Analyst & Reporting Manager to take ownership of the accuracy structure and reliability of growth reporting planning systems and performance models.

This is a non-technical analytics role focused on business reporting modeling and insight generation (primarily in Google Sheets). You will work with existing data infrastructure to ensure leadership always has clear validated and actionable performance visibility.

You will act as the central layer of truth for growth data ensuring weekly alignment on performance identifying risks and opportunities and enabling data-driven decision-making across the business.

Core Purpose of the Role

• Ensure all growth and performance data is accurate consistent and decision-ready
  
• Maintain a reliable reporting and forecasting system used by leadership
  
• Translate raw performance data into structured insights and action points
  
• Support planning target setting and performance tracking across all channels
  

Key Responsibilities

1. Growth Reporting & Performance Tracking (Primary Focus)

• Own weekly monthly and annual reporting across all channels and markets (Google Sheets-based)
  
• Maintain reporting dashboards that clearly show:
  • On-track performance
    
  • Off-track performance
    
  • Areas requiring attention
    
• Ensure all figures are accurate validated and consistent across sources
  
• Provide fast reliable responses to ad-hoc performance questions
  

2. Data Accuracy & Validation Layer

• Act as the validation layer between raw data sources and business reporting
  
• Reconcile discrepancies across dashboards platforms and source systems
  
• Investigate anomalies and verify data at source level when needed
  
• Escalate and track data issues with data owners until resolution
  
• Ensure leadership decisions are based on trusted data
  

3. Planning Forecasting & Modeling (Sheets-First Ownership)

• Own and maintain core business models in Google Sheets including:
  • Revenue targets
    
  • Channel targets
    
  • Regional performance targets
    
  • Spend ROAS CAC and efficiency models
    
  • Forecasting and scenario planning models
    
  • Compensation-related models (where applicable)
    
• Ensure all models are:
  • Updated
    
  • Internally consistent
    
  • Reliable for leadership decision-making
    
• Incorporate inputs from growth and performance teams into planning cycles
  

4. Ad-hoc Analysis & Insights

• Perform structured analysis across:
  • Channels
    
  • Campaigns
    
  • Countries/regions
    
  • Time periods
    
• Identify trends anomalies and key performance drivers
  
• Deliver clear actionable insights with minimal direction
  
• Support leadership with real-time analysis during key discussions
  

5. Cross-functional Collaboration

• Work closely with:
  • Head of Growth
    
  • Head of Performance
    
  • Growth Operations Lead
    
  • Data team (for data quality issues)
    
• Participate in performance calls to validate data and provide updates
  
• Support continuous improvement of reporting systems and data integrity
  

Requirements

• Minimum 4 years experience in:
  • Growth analytics / marketing analytics / performance analytics / reporting
    
• Strong hands-on experience with performance marketing channels such as:
  • Meta Google TikTok YouTube Email Affiliate etc.
    
• Solid understanding of key e-commerce / performance metrics:
  • CAC ROAS CVR AOV LTV etc.
    
• Advanced proficiency in Google Sheets / Excel (must-have)
  
• Proven experience building reporting and forecasting models
  
• Strong attention to detail with a high standard for data accuracy
  
• Ability to independently validate and reconcile datasets
  
• Strong analytical thinking and structured problem-solving
  
• Ability to work in a fast-paced dynamic environment
  
• Fluent English communication skills
  

What Were Looking For

• Clear structured thinking
  
• Strong analytical and modeling ability
  
• Ability to connect data targets execution
  
• Practical scalable frameworks (not overcomplicated)
  
• Strong understanding of growth and performance marketing dynamics