Officer 3 - Dashboard Developer Hybrid Setup HMO On Day 1

Company Description

We’re a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide.  We employ a global workforce of 6,500+ people across 24 jurisdictions and have assets under administration (AUA) exceeding US$857 billion. We work with 13 of the world’s top-15 private equity firms.

Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts.

Above all, what makes us different is our people. Operating as trusted partners to our clients, we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding. 

We’re driven by our Group purpose, to power people and possibilities.

Job Description

THIS ROLE 

This role is a review-focused position responsible for validating extracted and collected data to ensure accuracy, consistency, and adherence to quality standards. You will leverage your technical expertise to oversee data extraction processes, support the preparation and review of outputs, and ensure timely and high-quality delivery of client reporting. The role involves close coordination with stakeholders, continuous process improvement, and providing guidance to preparers while maintaining strong compliance with established procedures, SLAs, and client-specific requirements.

Key Responsibilities

• Review and validate extracted/collected data, ensuring accuracy, consistency, and compliance with prescribed guidelines and quality standards
• Support and monitor end-to-end data extraction processes (ETL: extract, transform, load), ensuring timely delivery of client reports and adherence to SLAs
• Liaise with internal stakeholders and assist in resolving queries, technical issues, and data discrepancies while providing guidance to preparers
• Drive process improvements by identifying efficiencies, enhancing extraction methodologies, and strengthening controls, procedures, and documentation
• Assist in team operations, including workload coordination, client onboarding support, reporting reviews, and contributing to cross-functional collaboration and training initiatives
  
  

• Competitive compensation and benefits – including allowances, government-mandated benefits, 13th month pay, and performance-based bonuses
• Health and wellness support – HMO coverage from Day 1 (with 2 free dependents), life and accident insurance, mental health support, and medical allowances
• Leave benefits – generous paid time off, special leave types, and observance of all Philippine holidays
• Hybrid work setup and tools – company-issued laptop, work-from-home kit, and flexibility after initial onboarding
• Learning and growth opportunities – access to training, annual salary reviews, internal mobility, and performance rewards
  
  

• Bachelor’s degree in Mathematics, Computer Science, Information Systems, Engineering, Accounting, Finance, or a related field
• At least 4 years of relevant experience in data analysis, with exposure to data visualization tools (e.g., Tableau, Power BI), ETL processes (SQL or Snowflake), and Macro/VBA
• Strong knowledge of data extraction tools, including web forms and unstructured data extraction techniques, as well as MS SQL/Data Warehousing concepts (joins, unions, group by)
• Proficiency in data storytelling and visualization best practices, with intermediate to advanced Microsoft Office skills, particularly in Excel
• Excellent communication, organizational, and multitasking skills, with a proactive, results-driven mindset, high attention to detail, and ability to work independently and collaboratively while maintaining quality standards