
Job Description: Data Analyst
About the Role
We are seeking a highly skilled Data Analyst with strong expertise in SQL/PostgreSQL, Python (Pandas), Data Visualization, and Business Intelligence tools to join our team. The candidate will be responsible for analyzing large-scale datasets, identifying trends, generating actionable insights, and supporting business decisions across marketing, sales, operations, and customer experience..
Key Responsibilities
- Data Extraction & Management
- Write complex SQL queries in PostgreSQL to extract, clean, and transform large datasets.
- Ensure accuracy, reliability, and consistency of data across different platforms.
- Data Analysis & Insights
- Conduct deep-dive analyses to understand customer behavior, funnel drop-offs, product performance, campaign effectiveness, and sales trends.
- Perform cohort, LTV (lifetime value), retention, and churn analysis to identify opportunities for growth.
- Provide recommendations to improve conversion rates, average order value (AOV), and repeat purchase rates.
- Business Intelligence & Visualization
- Build and maintain interactive dashboards and reports using BI tools (e.g., PowerBI, Metabase or Looker).
- Create visualizations that simplify complex datasets for stakeholders and management.
- Python (Pandas)
- Use Python (Pandas, NumPy) for advanced analytics.
- Collaboration & Stakeholder Management
- Work closely with product, operations, and leadership teams to provide insights that drive decision-making.
- Communicate findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders.
Required Skills
- SQL/PostgreSQL
- Complex joins, window functions, CTEs, aggregations, query optimization.
- Python (Pandas & Analytics)
- Data wrangling, cleaning, transformations, exploratory data analysis (EDA).
- Libraries: Pandas, NumPy, Matplotlib, Seaborn
- Data Visualization & BI Tools
- Expertise in creating dashboards and reports using Metabase or Looker.
- Ability to translate raw data into meaningful visual insights.
- Business Intelligence
- Strong analytical reasoning to connect data insights with e-commerce KPIs.
- Experience in funnel analysis, customer journey mapping, and retention analysis.
- Analytics & E-commerce Knowledge
- Understanding of metrics like CAC, ROAS, LTV, churn, contribution margin.
- General Skills
- Strong communication and presentation skills.
- Ability to work cross-functionally in fast-paced environments.
- Problem-solving mindset with attention to detail.
Education: Bachelor’s degree in Data Science, Computer Science, data processing

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