
Recruitment • Enterprise
Manila Recruitment is a leading recruitment agency based in the Philippines, specializing in innovative talent sourcing and headhunting services. The agency provides a wide range of recruitment solutions including executive search, IT recruitment, offshore staffing solutions, remote staffing, and more. With a focus on understanding clients' strategic business objectives, Manila Recruitment offers tailored recruitment strategies for multinationals, corporations, and start-ups entering the Filipino market. The firm prides itself on a process-driven approach, offering comprehensive candidate guarantees and a database of over 250,000 candidates. Certified headhunters at Manila Recruitment are dedicated to passive candidate sourcing, ensuring quality hires that align with company culture and requirements.
11 - 50 employees
Founded 2010
🎯 Recruiter
🏢 Enterprise
October 27

Recruitment • Enterprise
Manila Recruitment is a leading recruitment agency based in the Philippines, specializing in innovative talent sourcing and headhunting services. The agency provides a wide range of recruitment solutions including executive search, IT recruitment, offshore staffing solutions, remote staffing, and more. With a focus on understanding clients' strategic business objectives, Manila Recruitment offers tailored recruitment strategies for multinationals, corporations, and start-ups entering the Filipino market. The firm prides itself on a process-driven approach, offering comprehensive candidate guarantees and a database of over 250,000 candidates. Certified headhunters at Manila Recruitment are dedicated to passive candidate sourcing, ensuring quality hires that align with company culture and requirements.
11 - 50 employees
Founded 2010
🎯 Recruiter
🏢 Enterprise
• As a Business Analyst, you will harness data from multiple brands, systems, and distribution centres to power analysis, streamline processes, and guide strategic decisions. This role is perfect for someone ready to dive into multi-system environments, drive harmonization, and enable data-driven growth. • __**Duties and Responsibilities:**__ • · Evaluate and integrate business processes and systems across multiple brands and acquisitions. • · Craft and optimise SQL queries to pull and analyse data from ERP, ecommerce, and legacy systems. • · Develop advanced reports and dashboards using Excel (pivot tables, advanced functions, VBA/macros), Power BI and other Business Intelligence (BI) tools. • · Collaborate with cross-functional stakeholders to gather, document, and validate process improvement and system integration requirements. • · Analyse sales trends, pricing, fulfilment, and vendor metrics - providing actionable insights across brands • · Participate in design, testing (including UAT), and implementation of system enhancements. • · Ensure data integrity, clean-ups, and documentation in consolidated environments. • · Present findings and recommendations to IT leadership and business stakeholders.
• __**Must-have Skills / Qualification:**__ • · Degree in IT, Computer Science, or related field. • · Fluent English speaking, reading, and writing skills. • · Must be currently employed in a Business Analyst role. • · Must have stayed a minimum of three years with each previous employer. • · 2 years of experience as a Business/Data analyst in distribution, wholesale, supply chain, or related industries. • · Extensive experience designing dashboards using Excel, Power BI or other BI tools. • · Solid experience managing and administering databases like MS Access, MSSQL and MySQL. • · Experience working with programming languages such as C#, Python, and JavaScript. • · Proficiency in Microsoft Office Suite, Windows OS, and basic networking concepts. • · Typing speed of at least 50 words per minute (WPM) with 95% accuracy. • · Willingness to work the evening shift, starting between 7:00 PM to 11:00 PM Manila Time. • · A stable Fiber internet connection with a minimum speed of 100 Mbps (download and upload). • __**Advantageous **__ • · Experience in data Repository, Data Cube, Data Lake
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