Description:

We are seeking a skilled HR IT Data Analyst/Scientist to join our payroll team remotely in Manila.
The ideal candidate will have experience working with Secure Sockets Layer (SSLs), data conversion, and implementation support.
A background in HRIT and payroll data is highly preferred for this role.
This position requires strong analytical skills, problem-solving abilities, and a deep understanding of payroll and HR systems to drive data accuracy and efficiency.
Responsibilities include analyzing and interpreting payroll and HR data to support business decisions.
The candidate will work with SSLs to ensure secure data transmissions and integrations.
They will manage and execute data conversion processes, ensuring accuracy and completeness.
Providing implementation support for payroll system upgrades, migrations, or new deployments is also a key responsibility.
The role involves collaborating with HRIT teams to optimize payroll-related data workflows.
The candidate will develop and maintain data reports and dashboards for payroll analytics.
Identifying trends and insights to improve payroll processing efficiency and accuracy is essential.
Ensuring compliance with data security and payroll-related regulations is a critical aspect of the job.
The candidate will work closely with stakeholders, including HR, IT, and finance teams, to support payroll data needs.

Requirements:

A Bachelor’s degree in Data Science, Information Systems, HR Technology, or a related field is required.
Proven experience as a Data Analyst or Data Scientist, preferably within a payroll or HRIT environment, is necessary.
Strong knowledge of SSLs and data security protocols is essential.
Experience with data conversion and system implementation support is required.
Proficiency in SQL, Python, or other data analysis tools is necessary.
Hands-on experience with HR and payroll systems such as Workday, SAP, ADP, or similar platforms is required.
Excellent problem-solving and analytical skills are essential for this role.
Strong communication and collaboration skills are necessary to work effectively with various teams.

The position offers the opportunity to work remotely, providing flexibility in work location.
Joining a growing team allows for professional development and career growth.
The role involves working in a dynamic environment that values data accuracy and efficiency.
Employees will have the chance to collaborate with various departments, enhancing their professional network.
The company supports continuous learning and development in the field of HRIT and data analysis.