Infinit-O isn't just about business process optimization, we're about people. For over 20 years, we've been helping some of the world's fastest-growing companies in Financial Services, Healthcare, and Technology achieve multiple strategic advantages through data-driven solutions, high-performance teams, and cutting-edge technology. Our world-class Net Promoter Score of 75 reflects our commitment to excellence and client satisfaction.
But what truly sets us apart is our culture. At Infinit-O, we believe that diversity, equity, and inclusion are the foundation of innovation and sustainable growth. We embrace differences, empower perspectives, and create equal opportunities for everyone. Our people-first approach has earned us the Great Place To Work Certification three times, and as a B Corp Certified company, we're dedicated to making a positive impact not just in business, but in the communities we serve.
With a highly engaged and innovative team, we don't just optimize processes, we also create meaningful change.
Details:
- Work Shift: Night Shift (9PM-6AM)
- Work Setup: Hybrid (2-4x a month onsite)
- Office Address: 9/F SCMC Mall of Asia Arena Annex (MAAX) Building, Pasay, 1300
Key Responsibilities:
- Collect, analyze, and document business and operational requirements related to reporting, analytics, and performance measurement.
- Design and maintain scalable data models and queries to support recurring and ad-hoc analysis.
- Perform extensive data preparation, relational data analysis, and trend identification using structured datasets (e.g., SQL-based sources).
- Develop, enhance, and maintain dashboards and visualizations (e.g., Tableau, Power BI) to communicate insights to internal and external stakeholders.
- Review and validate data sources, queries, and reporting logic to ensure accuracy, completeness, and data integrity.
- Identify operational issues, data inconsistencies, and performance gaps; proactively escalate insights and recommendations to management.
- Participate in problem resolution efforts, including root cause analysis and validation of data-driven solutions.
- Support monthly operational reporting, KPIs, and executive-level performance metrics.
- Collaborate with cross-functional teams to translate business questions into analytical solutions.
- Apply strong data governance, documentation, and quality control standards when handling sensitive or confidential information.
- Perform other ad hoc analytical or reporting tasks aligned with the Process Transformation function, as assigned.
Job Requirements and Credentials:
- Bachelor's degree in Computer Science, Economics, Mathematics, Statistics, Business Administration, or a related field.
- Strong analytical and problem-solving skills with demonstrated ability to translate data into clear business insights.
- Advanced proficiency in SQL, including complex queries, joins, aggregations, and performance optimization.
- Experience working with cloud-based data platforms such as Snowflake or similar data warehouses.
- Experience developing dashboards and data visualizations using Tableau, Power BI, or similar BI tools.
- Advanced proficiency in Microsoft Excel (Power User level), including Pivot Tables, advanced formulas, and data modeling.
- Strong data visualization and presentation skills, including the ability to clearly summarize insights for executive audiences.
- Excellent written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
- Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.
- Demonstrated dependability and ability to maintain strict confidentiality.
Preferred Qualifications:
- 2+ years of experience in data analytics, business intelligence, reporting, or a related role.
- Experience with data modeling, ETL concepts, or analytics engineering practices.
- Familiarity with data governance, data quality frameworks, and metadata documentation.
- Exposure to Python or R for analytical tasks (nice to have).
- Experience supporting operational, financial, or marketplace-style datasets.
Key Competencies:
- Analytical rigor and attention to detail
- Data storytelling and insight generation
- Stakeholder collaboration
- Continuous improvement mindset
- Accountability and results orientation
