Data Analyst (EDA) | Hybrid

Data Collection & Preparation

• Collect, clean, organize, and validate data from multiple sources.
• Ensure data accuracy, completeness, and consistency before analysis.
• Support the maintenance of databases and data systems.

Exploratory Data Analysis (EDA)

• Perform Exploratory Data Analysis (EDA) to understand datasets and identify trends, patterns, relationships, and anomalies.
• Use statistical techniques to analyze data and uncover meaningful insights.
• Perform data profiling, data cleaning, and validation to improve data quality.
• Translate analysis results into actionable insights that support business decisions.

Reporting & Visualization

• Create reports, dashboards, charts, and other data visualizations.
• Present findings in a clear and easy-to-understand format.
• Ensure reports and dashboards are accurate and delivered on time.

Collaboration

• Work with Marketing, Sales, Operations, and other teams to understand their data and reporting needs.
• Communicate findings and recommendations to both technical and non-technical stakeholders.
• Support teams in making data-driven business decisions.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Information Technology, or a related field.
• 3–5 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a related role.
• Strong experience in Exploratory Data Analysis (EDA), including identifying trends, patterns, correlations, anomalies, and data quality issues.
• Experience in data cleaning, data profiling, statistical analysis, and interpreting large datasets.
• Proficiency in SQL and working with relational databases.
• Experience with data visualization tools such as Power BI, Tableau, or Superset.
• Knowledge of Python or R for data analysis and EDA is preferred.
• Familiarity with data warehousing platforms such as Snowflake, BigQuery, or Redshift is an advantage.
• Experience in e-commerce, marketing, finance, or similar industries is a plus.