Analytics Engineer (Data and BI)

Data Collection and Preparation

• Collect data from different sources and make sure it is accurate and complete.
• Clean, organize, and check data before using it.
• Help build and maintain databases and data systems.

Data Analysis

• Analyze data to find trends and patterns.
• Help improve methods for analyzing data.
• Turn data into useful insights using statistical tools.

Reporting and Visualization

• Create reports, dashboards, and charts.
• Present data in a clear and easy-to-understand way.
• Make sure reports are accurate and delivered on time.

Collaboration and Communication

• Work with teams like Marketing, Sales, and Operations to understand their data needs.
• Share insights with both technical and non-technical team members.
• Join meetings and contribute ideas about data use.

Data Quality and Governance

• Check and fix data issues to keep it accurate.
• Follow company rules for handling data.
• Document data sources and processes clearly.

Professional Development

• Keep up with new trends and tools in data analytics.
• Improve skills in data tools and programming.
• Attend trainings and learning sessions.

Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

• With 3-5 working experience in data analysis, data engineering, or business intelligence

• Basic knowledge of SQL and databases.

• Knowledge of data warehousing concepts (e.g., Snowflake, BigQuery, Redshift).

• Experience in industries such as e-commerce, marketing, or finance is a plus.

• Familiarity with data visualization tools (e.g., Tableau, Power BI, Superset).