A leading technology firm in Metro Manila is seeking a dedicated Data Analyst to focus on retail data processing and management. The successful candidate will utilize advanced Excel and Power BI skills to generate insight-driven reports and dashboards, ensuring data accuracy and compliance across departments. A bachelor’s degree in a relevant field and 1 to 3 years of experience in retail analysis are required. The role demands strong analytical abilities and effective communication in English.
Qualifications
1-3 years experience in retail, channel, or sales data analysis.
Experience in consumer electronics, 3C, appliances, or retail operations preferred.
Fluent in English (written and spoken).
Responsibilities
Handle full-process retail data processing and validation.
Conduct weekly data collection for sales and inventory.
Build Power BI retail dashboards for performance monitoring.
Skills
Advanced Excel proficiency
Power BI dashboard creation
Data storytelling
Analytical skills
Problem-solving skills
Education
Bachelor’s degree in Business, Analytics, IT, or related field
Tools
Power BI
Excel
Job description
Key Responsibilities
Full Data Processing & Management
Handle full-process retail data processing and validation.
Conduct weekly data collection and checking for sales, activation, inventory, PSI, exhibition, and competitor product suppression ratio.
Aggregate KA channel data and ensure unified data standards.
Perform abnormal data troubleshooting and root‑cause analysis.
Ensure data accuracy, completeness, and consistency.
Advanced Excel Data Processing
Perform multi-dimensional analysis using Pivot Tables, advanced formulas, Power Query, and data models.
Generate automated weekly and monthly reports.
Produce store rankings, achievement rates, year‑on‑year comparisons, and anomaly warnings.
Build dynamic dashboards and automated reporting tools.
BI Visualization & Dashboard Development
Build Power BI retail dashboards (performance, store monitoring, product display, personnel, competitor analysis).
Enable automatic data refresh and chart linkage.
Create store penetration and performance monitoring tools.
Support management decision‑making through real‑time visualization.
Professional PPT Reporting
Independently prepare high‑quality weekly, monthly, and quarterly retail reports.
Create logical, visually structured business presentations.
Prepare standard reports including target achievement, channel performance analysis, product structure analysis, issue tracking and resolution, and next‑month action plans.
Retail Special Analysis
Conduct new product sales analysis.
Perform competitive analysis for OQ / panoramic camera products.
Analyze store productivity, manpower efficiency, and display efficiency.
Translate data into actionable business recommendations and provide insights to support business decisions, not just reporting.
Cross-Department Data Coordination
Work closely with retail platform, training team, display team, and KA/ARS teams.
Provide data support across departments.
Coordinate with headquarters for reporting requirements.
Ensure accurate, timely, and compliant data submission.
Job Qualifications
Education & Experience
Bachelor’s degree or above in Business, Analytics, IT, or related field.
1‑3 years experience in retail, channel, or sales data analysis.
Experience in consumer electronics, 3C, appliances, or retail operations preferred.
Excel Skills (Advanced)
Strong proficiency in Pivot Tables, charts, and advanced formulas (VLOOKUP, XLOOKUP, IFS, SUMIFS).
Experience using Power Query for data cleaning.
Experience using Power Pivot for data modeling.
Ability to perform multi‑table merging and automated report creation.
Able to build dynamic dashboards and reporting templates.
Power BI Skills (Required)
Experience in data import, cleaning, and modeling.
Knowledge of DAX expressions.
Strong dashboard and visualization design skills.
Ability to Independently Build
Retail performance dashboards.
Channel monitoring dashboards.
Store performance dashboards.
PowerPoint Skills (Advanced)
Ability to create professional business‑level presentations.
Strong data storytelling and visualization skills.
Able to convert data into insights, strategies, and action plans.
Experience preparing management or headquarters‑level reports.
Language & Soft Skills
Fluent in English (written and spoken).
Strong analytical and problem‑solving skills.
High attention to detail and data accuracy.
Ability to work under pressure and meet deadlines.
Strong accountability and data sensitivity.
Preferred Qualifications
Knowledge of drone, imaging, or power products.
Familiarity with Philippine KA and retail channels.
Experience with PSI, retail terminal data, and display analytics.
Experience in competitor analysis and retail performance tracking.