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Bounty Fresh Food, Inc. is seeking a Business Data Analyst to transform raw business data into actionable insights that drive strategic decisions across the organization. The role emphasizes data management, analysis, reporting, and visualization to improve performance and profitability.
You will collaborate with cross-functional teams to design data models, develop dashboards, and ensure data integrity across systems, bringing strong analytical and communication skills to a dynamic environment.
[Note: Role is full onsite from Monday to Friday in BGC, Taguig]
The Business Data Analyst is responsible for transforming raw business data into meaningful insights that support strategic and operational decision-making across the BVA organization. The role focuses on data management, analysis, reporting, and visualization to improve business performance, efficiency, and profitability. The Business Data Analyst works organization. The Business Data Analyst works closely with cross-functional teams to understand business needs, design data models, develop dashboards, and ensure data integrity across systems. The role combines strong analytical and technical skills with business acumen, communication, and problem-solving capabilities.
Strong proficiency in Microsoft Excel (advanced formulas, PivotTables, Power Query).
Experience with Business Intelligence tools, particularly Power BI.
Solid knowledge of SQL for data extraction, querying, and transtormation.
Understanding of relational databases (RDBMS) and data modeling concepts.
Knowledge of data warehousing principles and ETL processes.
Strong analytical thinking and problem-solving skills.
Ability to interpret complex data and communicate insights clearly to non-technical stakeholders.
Excellent communication and collaboration skills.
Strong attention to detail and data accuracy.
Experience with ERP systems and business process data.
Familiarity with statistical analysis and basic forecasting techniques.
Experience in dashboard automation and performance KPI development.
Basic knowledge of Python or similar tools for data analysis (e.g., pandas, NumPy).
Understanding of Agile or data project lifecycle methodologies.
Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information Technology, Mathematics, Statistics, or a related field.