Data Analyst - DFT - 08326
At RippedBoxStation · Metro Manila, Philippines
- Data and ML
- Full-time
Where you can work from
Open to the Philippines
“Metro Manila, Philippines”
From the location.
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- First seen by us
- 9 October 2026
- Last checked
- 2 hours ago
Job description
From RippedBoxStation’s job post, as they wrote it.
Position: Data Analyst - Junior
Number of hours: 40 hours / week
Schedule: EST
Responsibilities:
* Collect, clean, and analyze data from various business systems.
* Prepare recurring and ad-hoc reports to support operational and management decisions.
* Assist in developing KPIs, dashboards, and performance metrics.
* Validate data accuracy and maintain data quality standards.
* Create charts, visualizations, and reports to communicate business insights.
Read the full description
* Collaborate with business users to understand reporting and analytics requirements.
* Support data documentation, reporting standards, and process improvements.
* Assist with testing, documentation updates, and basic analytics initiatives.
* Participate in Agile ceremonies and project meetings.
Required Qualifications:
* Bachelor's degree in Information Technology, Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Business Analytics, or a related field.
* 0–2 years of experience in Data Analysis, Reporting, Business Intelligence, or a related role.
* Basic knowledge of SQL, Microsoft Excel, and data analysis concepts.
* Familiarity with Power BI, Tableau, or similar visualization tools is an advantage.
* Strong analytical, problem-solving, and communication skills.
* Ability to work collaboratively in a team environment.
Preferred Certifications:
* Microsoft Power BI Data Analyst Associate (PL-300)
* AWS Cloud Practitioner
* Microsoft Azure Fundamentals (AZ-900)
* Scrum Foundations
Technical Skills:
* SQL & Data Analysis
* Microsoft Excel
* Power BI or Tableau
* Data Visualization & Reporting
* KPI Development
* Data Validation & Cleansing
* Agile & Scrum Fundamentals
* Documentation & Data Storytelling
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