average salary of virtual assistant in the Philippines The average salary of a virtual assistant in the Philippines in 2026 ranges between ₱20,000–₱30,000 per month, with entry-level positions starting around ₱15,000 and senior-level roles reaching up to ₱45,000. On an annual basis, the average gross salary is about ₱251,000.ph.jobstreet.com+2 Salary Ranges by Experience Level Experience Level Monthly Gross Salary Monthly Net Pay (after deductions) Annual Gross Salary Notes Entry-Level (0–2 yrs) ₱15,000 ~₱13,675 ~₱193,250 Often administrative tasks, basic support Mid-Level (3–5 yrs) ₱25,000 ~₱22,611 ~₱251,454 More specialized roles, client management Senior-Level (6+ yrs) ₱45,000 ~₱38,332 ~₱280,537 Executive assistance, project management, niche expertise pinoybenefits.com+1 Key Insights • Hourly Rate: Around ₱120–₱121/hour ...
Professional Certificate - 16 course series Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months . Data engineering is building systems to gather data, process and organize raw data into usable information . Data engineers provide the foundational information that data scientists and business intelligence analysts use to make decisions. This program will teach you the foundational data engineering skills employers are seeking for entry level data engineering roles, including Python, one of the most widely used programming languages. You’ll also master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark with hands-on labs and projects. You’ll learn to use Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You’ll work with Relational Databases (RDBMS) and query data using SQL statements and ...
Professional Certificate - 8 course series This eight-course program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary. Developed by marketing analytics experts at Aptly and Meta, and designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more. You’ll learn basic marketing principles, how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach common analytics questions. You’ll learn how to use essential tools like spreadsheets, SQL, and Python to collect, connect, and analyze relevant data. You’ll apply common statistical methods used to segment audiences, evaluate campaign results, optimize the marketing mix and evaluate sales funnels. Throughout the program, you'll gain proficiency in visualizing data using Tableau and how to use Meta Ads Manager to create campaigns, evalua...
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