HR Data Analyst
HybridLisbon, Lisbon, Portugal
Lisbon, Lisbon, PortugalHybridFull TimeEnterprise
Full TimeEnterprise
Job Summary
Create and deliver standard reports and dashboards while ensuring high data quality through regular checks. Develop data layouts including tables, charts, and graphs to support HRBP reporting activities. Promote HR reporting self-service by training end users and manage the transition from SAP BI to Workday tools. Secure data protection requirements in compliance with GDPR regulations and demonstrate discretion with sensitive information. Conduct daily interactions with central stakeholders to define customer needs for data analysis.
Required Qualifications
- Confirmed professional Degree in Computer Science/ Data Analytics Engineering
- 2-3 yrs of experience in reporting operations
- Ability to adapt in a rapidly changing environment
- Structured, self-organised and collaborative way of working
- Creativity and appetence for problem solving
- Data analysis capability: rigorously and effectively examine large quantities of data
- Project management
- Customer orientation: Definition of customers' needs for data and analysis based on HR system
- Mindset of continuous improvement and lean methods
- Ability to network in multicultural environment
- English: Business proficiency level written and Spoken
- Very good knowledge and understanding of HR KPI's
- Advanced mastery of Excel, including Macros development, VBA
- Expertise in SAP HR Reporting (BW and R/3)
- Workday certifications: Core HCM, reporting
- Data visualization tools (e.g. Spotfire, Qliksense, Workday Prism)
- Basics of Data Analysis techniques: statistics, data wrangling
- Languages: English - capacity to work and interact in English in a daily basis
- Data Analysis techniques: statistics, data wrangling, data analytics (Python and associated libraries such as Pandas)
- Awareness of any potential compliance risks
- Commitment to act with integrity
Desired Qualifications
- time management process is known
- Workday certifications: Core HCM, reporting
- Data visualization tools (e.g. Spotfire, Qliksense, Workday Prism)
- Basics of Data Analysis techniques: statistics, data wrangling
- Data Analysis techniques: statistics, data wrangling, data analytics (Python and associated libraries such as Pandas)
- English - capacity to work and interact in English in a daily basis
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