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.