Global Talent Data Analyst

Location:

Remote - Barcelona, Spain

Job ID:

R0070212

Date Posted:

2024-12-23

Company Name:

HITACHI ENERGY SPAIN, S.A.U.

Profession (Job Category):

Human Resources

Job Schedule: 

Full time

Remote:

Yes

Job Description:

Mission Statement: 

• As a Global Talent Data Specialist, your mission is to leverage advanced data analytics techniques and tools to extract actionable insights and enhance decision-making throughout our organization. You will collaborate closely with key stakeholders, applying statistical modeling and data visualization skills to ensure data quality and enable informed decisions within the Talent & Rewards (Talent Acquisition, Capacity & Workforce Planning, Talent Management, Learning & Development and Rewards) function.  

Main Accountabilities 

T&R Data Analytics:  

• Gather and transform organizational raw data into actionable insights.  

• Design and coordinate the deployment of analytical tools, metrics, and reports to inform business decisions.  

 

Functional Expertise:  

• Understand Talent related processes.  

• Provide expertise in People Analytics methodologies.  

• Act as the C&WP subject matter expert (SME) and Technical Admin for dedicated tools. 

 

Stakeholder Management:  

• Collaborate with CoE Functional Leaders and BU SPOCS. 

• Pivot the coordination with HR Ops and IT, when applicable. 

• Translate data findings into meaningful recommendations. 

 

Technical Proficiency:  

• Excel: Proficient in data manipulation, formulas, and visualization.  

• Power BI: Develop interactive dashboards and visualizations.  

• Power Query: Extract, transform, and load data efficiently.  

• SQL (nice to have): Query databases for advanced analysis.  

 

Data Quality Focus:  

• Ensure accuracy, consistency, and reliability of Talent data.  

• Implement Data Governance Practices.  

 

Proactive and Innovative Approach:  

• Identify trends, patterns, and opportunities.  

• Propose innovative solutions to enhance Talent related processes.

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We would like to hear from you if you have: 

• Bachelor’s degree in HR, Business, Data Science, Engineering, or related field.  

• Proven experience in People Analytics or HR Data Analysis.