We are looking for a Data Analyst who can transform raw data into actionable insights. This role involves working with structured datasets, building dashboards, and supporting business decisions using analytics.

This opportunity is ideal for candidates skilled in SQL, Python, data visualization, and statistical analysis, looking to work on real-world datasets and scalable systems.

Key Responsibilities

• Perform data analysis, data cleaning, and data validation on large datasets
• Write optimized SQL queries for PostgreSQL or similar databases
• Build interactive dashboards and reports using BI tools
• Conduct exploratory data analysis (EDA) to identify trends and patterns
• Work with cross-functional teams to define data requirements and KPIs
• Implement data models and normalization techniques for efficient querying
• Automate reporting workflows using Python or scripting tools
• Analyze user behavior, conversion funnels, and product metrics
• Perform A/B testing and statistical analysis for business insights
• Ensure data accuracy, integrity, and security standards

Required Skills

• Strong knowledge of SQL (PostgreSQL preferred)
• Proficiency in Python (Pandas, NumPy) or R
• Experience with data visualization tools (Power BI, Tableau, Metabase)
• Understanding of statistics, probability, and data analysis techniques
• Knowledge of ETL processes and data pipelines
• Familiarity with REST APIs and data integration
• Understanding of database design (normalization, indexing, optimization)
• Experience with Git/version control systems
• Strong analytical thinking and problem-solving skills

Preferred Qualifications

• Experience with big data tools (Apache Spark, Hadoop)
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Knowledge of data warehousing concepts
• Experience in startup or high-growth environments
• Exposure to product analytics and user engagement metrics