Senior Data Analyst

Requirements

Senior Data Analyst

Key Responsibilities

Growth Campaign Performance Analysis

• Analyze the performance of growth campaigns across all channels including Email, SMS, Push notifications, In-app interventions/pop-ups, and WhatsApp
• Identify which campaigns and channels are effectively contributing to our goals of activating dormant users and reactivating new/repeat customers, and which are not
• Translate complex data into clear, actionable insights for the Growth and Marketing teams
  

Data Visualization & Reporting

• Design, build, and maintain interactive dashboards using BI tools (Tableau, Power BI, Looker) to provide real-time visibility into key growth metrics and campaign performance
• Develop structured reports on segment health, strategy impact, and improvement areas for senior stakeholders
  

Growth Opportunity & User Journey Optimization

• Proactively identify untapped growth opportunities within our customer base and marketing funnels
• Pinpoint friction points in the customer journey and propose data-backed solutions to reduce friction and improve user experience and conversion rates
• Conduct A/B tests and other experiments to optimize campaign effectiveness, user journeys, and product features
  

Business Insight & Strategic Alignment

• Forecast key growth trends and anticipate future performance
• Bridge the gap between marketing actions and overall business outcomes, demonstrating the direct impact of growth initiatives on revenue and other core business metrics
• Conduct in-depth business analysis to solve complex business problems, identify root causes, and propose data-driven solutions
  

Cross-functional Collaboration & Communication

• Collaborate closely with the Marketing Team and Business Team to ensure data insights inform strategic decisions and operational improvements
• Effectively communicate complex analytical findings and recommendations to non-technical stakeholders through compelling presentations and reports.
  

Requirements

• Bachelor's degree in a quantitative field such as Computer Science, Statistics, Economics, Mathematics, or a related discipline
• Minimum 2+ years of experience in a Data Analytics role, with a preference for experience in growth marketing, e-commerce, or a similar consumer-focused industry
• Proficiency in SQL for complex data querying, extraction, and manipulation
• Strong programming skills in Python or R for data analysis, statistical modeling, and automation
• Hands-on experience with Business Intelligence (BI) tools such as Tableau, Power BI, or Looker for dashboard creation and data visualization
• Advanced proficiency in Excel or Google Sheets for data manipulation and analysis
• Familiarity with marketing analytics platforms (e.g., Moengage, Mixpanel, Gamooga, Google Analytics)
• Solid understanding of statistical analysis and data modeling concepts
• Excellent communication, collaboration, and problem-solving skills
• Proven ability to translate data into actionable business insights.
  

Preferred Qualities

• A strategic mindset combined with strong analytical and problem-solving capabilities
• Ownership-driven with a proactive approach and a bias toward action
• Comfortable working in a fast-paced, dynamic, and high-growth environment
• Passion for understanding consumer behavior, customer segmentation, and the impact of marketing initiatives