Data Analyst - Hybrid

Analytics Engineer / Data Analyst

We are looking for an Analytics Engineer / Data Analyst to help transform data into accurate, meaningful, and actionable insights. This role will work closely with Marketing, Sales, Finance, Operations, and other teams to support data-driven decision-making.

Key Responsibilities

• Collect data from different sources and ensure its accuracy and completeness.
• Clean, transform, and validate data for analysis and reporting.
• Develop and maintain datasets, databases, and data processes.
• Analyze data to identify trends, patterns, and business insights.
• Create and maintain reports, dashboards, and data visualizations.
• Present findings using clear and easy-to-understand charts, graphs, and tables.
• Work with different teams to understand their data and reporting needs.
• Investigate and resolve data issues and discrepancies.
• Support data quality, governance, and documentation processes.
• Document data sources, calculations, and analytical processes.
• Communicate insights and recommendations to both technical and non-technical stakeholders.
• Continuously improve data processes, reporting, and analytical methods.
• Stay updated with analytics tools, technologies, and industry best practices

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• With 3-5 in data analysis, data engineering, or business intelligence roles.
• Familiarity with SQL and database concepts.
• Exposure to data visualization tools (e.g., Tableau, Power BI, Superset). Skills and Competencies
• Basic programming knowledge in Python or R (preferred).
• Preferred Qualifications
• Knowledge of data warehousing concepts (e.g., Snowflake, BigQuery, Redshift).
• Experience in industries such as e-commerce, marketing, or finance is a plus.
• Must be amenable to work Hybrid Set - up at Mandaluyong City