HRGS Data & Systems Analyst 1

POSITION IN THE ORGANISATION

Organisation structure:  

HRO > HRGS Data & Systems

Reports directly to:

Head of HRGS Data & Systems

Other reporting to:

Network & Links   Position title of connected positions / functional report

Internal

• HRO/HRGS Network
• HRIS

External

• N/A

Main Responsibilities

This list of responsibilities is not all-inclusive and may change, be added to or deleted at any time.

HR Systems:

• Go-to subject matter expert for the systems used by the HRGS organization, ALPS and MSP.
• Collaborates with HRGS teams to determine the short & long-term HR systems related needs.
• Assesses current system utilization, identifies and recommends improvements such as training, customization, and enhancements to maximize value and efficiency of the HR systems.
• Work with HRIS team, IS&T and other functions  (e.g. Finance) to maintain and improve the HR systems, including configuration, end-user access, system efficiency and to test new applications and features.
• Prepares training materials, guides, and documentation.
• Provides user training and hands-on support.
• Identify alternative solutions to the limitations of existing HR systems applications and consider these limitations when feeding in requirements to future HR systems improvements.
• Tier 2 Tools support – act as point of contact for our Tier 1 colleagues, usually HR team from the 3 HRGS hubs, who will escalate MSP HR Tools specific requests from our end users (Employees, Line Managers, HRBPs) on topics like system accesses, bugs, service flow which will require troubleshooting and if necessary further escalation to Tier 3 (HRIS, P&Ts and/or IS&T).
• Provide UAT support, on HRIS request, which involves  application testing during its development or improvement following change requests implementation.

Process & Data Quality:

• Build and maintain a HR data quality assurance framework, identify and address data quality issues before they have a chance to cause a significant risk to the organization.
• Partner with internal HRGS stakeholders to identify solutions that help streamline and automate (new) HR processes.

Data Analytics:

• Collaborate with HRGS leaders to establish clear KPIs and metrics linked to the operational objectives, ensure effective monitoring is in place and empower HRGS leaders to base decisions from data insights.
• Production of employee metrics which incorporate into HRGS KPI dashboards and other data visualization platforms used for decision-making while ensuring that these are accurate and timely delivered.

Data driven process automation:

• Identifies, recommends, and programs custom solutions such as automated data processing to increase efficiency of HRGS data driven processes, via MS Excel VBA or RPA if applicable

EXPERIENCE PREREQUISITES & REQUIRED COMPETENCES

Educational Requirements Describe the minimum educational requirement/level

Mandatory: University degree

Desirable:

• Specialization in HR Management, Data Science or equivalent from which comparable knowledge and job skills can be obtained

Experience  Describe the knowledge and experience required for this role

Mandatory:

• At least 5 years’ experience in working with CRMs, ERPs, Data Analytics applications in a large multi-national company
• Fluent in the English language, written and spoken
• Multicultural work experience international and matrix organizations
• Previous experience with HR business systems (SAP, Success Factors, ServiceNow, etc.)

Desirable:

• Experience of working in organisations that have undergone profound change
• Previous experience with RPA/Chatbot implementation
• Previous experience with data analysis and visualization applications (MS Power BI, Qlik Sense, Tableau, etc.)

Competencies & Skills  Describe the required level of behavioral skills

• Business Acumen and Relationship Management
• Global & Cultural Awareness
• Familiarity with human resources services and data
• Analytical mindset, with good skills in problem-solving and critical thinking
• Meticulous approach to data cleansing, validation, data analysis and visualization
• Intermediate to advanced skills with MS Excel (VBA is a plus)
• Basic understanding of systems interaction & data flow within an IS landscape
• Good understanding of a system development project lifecycle

• Enthusiasm for keeping up to date with emerging technology
• Good written and verbal communication skills which allow communication of complex concepts to non-technical stakeholders
• Resilient and able to deliver operationally in a demanding and changing environment
• Ability to keep information confidential
• Good planning and organization skills
• Flexible, open minded, fair & balanced judgment
• Ability to work with international teams