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Data Analyst

2 weeks ago

Makati City, National Capital Region, Philippines Pointwest Full time ₱900,000 - ₱1,200,000 per year

Hybrid - Makati 1-3 Yrs Exp Bachelor ContractShareJob DescriptionDescriptionJob Title: "Senior Data Analyst"Location: Work From Anywhere in the Philippines (100% Remote)Start Date: ASAP, ideally by

May 19, 2025Employment Type: 6 months initial Contract, with a high possibility of extension based on performanceWork Hours: Aligned with Singapore business hoursOverview:We are seeking 3–4 experienced Senior Data Analysts to join our international remote team. You will collaborate with stakeholders and technical teams to transform data into actionable insights that support strategic decision-making. Key Responsibilities:Engage with business stakeholders and senior executives to understand analytics needs.

Conduct discovery sessions and requirements workshops. Collect, clean, and prepare data using manual and automated tools. Develop reports and dashboards using Power BI and present findings through clear business presentations.

Document data and process flows, identify gaps, and suggest improvements. Mentor internal team members and support cloud/data migration initiatives. Qualifications:Bachelor's degree in Computer Science, IT, or related STEM fields.

Minimum of 5 years' experience in data analytics. Strong experience working with senior stakeholders. Hands-on experience with SQL and Python or PySpark (production-level code).

Experience with Power BI for dashboards and analytics. Experience with Databricks and/or Azure cloud platforms. Experience in Manufacturing or Supply Chain is highly preferred.

Knowledge of SAP S4 data tables, Power Apps, Power Automate, and UI Path is a plus. Fluent in English and comfortable working in a multicultural, international team. Willing to occasionally participate in US hours calls as needed.

Interview Process:Short HR screening (15 minutes)1–2 technical interviews with the clientRequirementsPlease refer to the detailed job description above. Additional Skills:Data Analysis, Data Visualization, SQL, Excel, Statistical Analysis, Python, R Programming, Data Cleaning, Business Intelligence, ReportingNote: Be cautious of potential job scams. Do not provide sensitive information or pay any fees during your application process.

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