Data Analyst

1. Data Collection & Preparation

• Source, clean, and structure data from multiple systems including Redshift , Databricks , internal databases, and third-party marketing/product platforms.
• Ensure data accuracy, completeness, and consistency by implementing quality checks and validation frameworks.
• Work closely with engineering and data teams to improve data pipelines, data models, and analytical accessibility.

2. Business & Growth Analytics

• Partner with marketing, growth, and product teams to uncover actionable insights across funnels, campaigns, and user journeys.
• Evaluate marketing effectiveness through metrics like CAC, LTV, ROAS, and incrementality.
• Identify growth opportunities by analyzing user acquisition, engagement, retention, and monetization trends.
• Support decision-making for new initiatives, product experiments, and feature launches using A/B testing and statistical modeling .

3. Experimentation & Statistical Analysis

• Design, execute, and evaluate A/B tests and controlled experiments to measure the causal impact of marketing and product interventions.
• Apply statistical methods (e.g., hypothesis testing, regression, cohort analysis) to understand user behavior and business performance.
• Translate complex analytical findings into actionable recommendations backed by evidence.

4. Reporting & Visualization

• Build interactive dashboards and automated reports using Power BI and Tableau for ongoing business tracking and KPI monitoring.
• Present insights and business reviews in a clear, concise, and actionable manner to senior stakeholders.
• Develop standardized reporting frameworks across growth, marketing, and inventory verticals.

5. Cross-Functional Collaboration

• Collaborate with growth, marketing, product, and category leaders to translate business questions into analytical solutions.
• Act as a thought partner to help define KPIs, success metrics, and experiment frameworks.
• Drive a culture of data-first decision making within your stakeholder teams.

Required Skills & Qualifications

Education

• Bachelor’s or Master’s degree in Engineering, Statistics, Economics, Mathematics, or a related quantitative field.

Experience

• 3–5 years of hands-on experience in business analytics, growth analytics, marketing analytics , or product analytics , preferably within an e-commerce or consumer internet company.

Technical Skills

• SQL (Redshift, Databricks): Strong proficiency in writing complex queries, aggregations, and data transformations.
• Excel: Advanced proficiency for quick data analysis and business modeling.
• Visualization Tools: Expertise in Power BI or Tableau for dashboarding and storytelling.
• Statistical Tools: Working knowledge of Python , R , or statistical packages for analysis.
• A/B Testing & Experimentation: Strong understanding of experimental design, control groups, p-values, and statistical significance.
• Data Platforms: Exposure to Databricks , AWS Redshift , and cloud-based data environments.

Analytical & Soft Skills

• Solid foundation in statistics , business modeling , and data-driven problem solving .
• Strong communication skills with the ability to translate data into actionable insights for non-technical audiences.

High ownership mindset with a proven track record of delivering business impact through analytics.