Operations Business Analyst

at SAVii
  • Remote - Philippines

Remote

Business

Mid-level

Job description

Our Company

SAVii was founded in 2017 as SAVii PH, since then, we have been revolutionizing the employee wellness landscape. Our primary goal is to transform lives everyday by offering 360° salary linked wellness services in emerging markets. We currently operate in the Philippines and India.

Through our employee benefits platform, we empower HR leaders with 360 degree salary linked financial wellness services that elevate team members personally and professionally. Fast forward to today, we are now the category leader in our pioneer market of the Philippines. We are always here to transform lives with you. Together, let’s make financial power at work a reality.

Our Culture

SAVii is all about people. We aim to transform lives everyday for our customers and our own team members. We promote a culture of people-centricity, engage deeply with our SAViiers and encourage everyone to bring their whole selves to work. Each member of our team has something unique to contribute, so we naturally embrace your individuality and recognize your unique perspective as an important catalyst of positive change. We are a remote-first organization, we work where we feel happy and productive. Beyond the monetary aspect, we offer a plethora of enabling benefits enhancing your personal and professional life. In SAVii, we Think Fast, and execute faster.

Our Values

Excellence is an Attitude. We are Licensed to Dare so that everyone can Learn and Succeed. Our shared culture of respect and Fast Executions are built on Integrity and knowing we are Stronger Together.

Our Commitment

SAVii is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all our SAViiers. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability and age. We believe that diversity in talent invites more opportunities for innovation that leads us to our goal to Transform Lives Everyday. As part of our commitment to a diverse and inclusive workplace, we strongly encourage individuals from all walks of life to apply.

Summary:

  • The Operations Business Analyst is a key role within the Operational Excellence team, focusing on data-driven decision-making, process optimization, and the management of critical operational workflows. Reporting to the Operations Analytics Manager, the Operations Business Analyst is responsible for delivering actionable insights through data analysis, developing and maintaining reports, and implementing scalable solutions that enhance the efficiency of back-end operations, including loan processing, customer support, billing, and collections. A significant part of this role is the management and ownership of the employee service module, ensuring the accurate and timely uploading of employee infosheets for partnered companies. This critical data, linked via APIs to other service modules, supports seamless integration across operational workflows.

Key Responsibilities:

  • Data Analysis and Reporting: Collect, analyze, and interpret operational data to develop insightful reports and dashboards. Conduct data quality checks to ensure the accuracy and reliability of all reports. Support the creation and maintenance of standardized and ad-hoc reports for various stakeholders, including senior management. Provide actionable insights based on data trends to enhance operational efficiency and decision-making. Process
  • Improvement and Automation: Collaborate with cross-functional teams to identify areas for process improvement and optimization. Contribute to the design and execution of automation solutions that reduce manual efforts and enhance operational workflows. Document and maintain process improvement initiatives to ensure consistency and scalability. Employee
  • Service Module Management: Manage the end-to-end process of uploading and maintaining employee infosheets for partnered companies. Ensure the accuracy, consistency, and integrity of employee data, which is critical for operations and integration with API-linked modules. Work with Product & Engineering and other departments to troubleshoot and resolve data-related issues. Optimize employee service data management processes to enhance system reliability and performance.
  • Collaboration and Projects: Partner with teams across operations, product, and data departments to gather requirements and deliver impactful solutions. Support high-impact projects aimed at improving operational processes and achieving business goals. Foster effective communication and collaboration with stakeholders to align deliverables with organizational objectives.
  • Professional Development: Continuously improve technical skills in data analytics, reporting, and process improvement. Stay updated on emerging tools, technologies, and methodologies relevant to operational analytics and automation. Contribute to team knowledge-sharing initiatives and process documentation.

Qualifications:

  • Education and Experience: Bachelor’s degree in Finance, Business, Engineering, Data Analytics, or a related field; 1+ year of experience in operations, data analysis, or process improvement, preferably in financial services or a similar industry.
  • Technical Skills: Proficient in data analytics tools such as Gsheet, BigQuery SQL, and Tableau (or similar BI platforms).Basic knowledge of process automation tools and methodologies. Familiarity with data visualization techniques and best practices.
  • Soft Skills: Strong analytical and problem-solving skills with the ability to think strategically. Excellent organizational and time-management skills. Effective communication and interpersonal skills for cross-functional collaboration.
  • Optional Skills: Experience with API integrations and understanding of linked service modules. Knowledge of operational workflows and performance metrics. Exposure to project management frameworks (e.g., Agile, Waterfall).
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