Analytics Data Modeler

hace 1 mes


Barcelona, Barcelona, España Dynatrace A tiempo completo

Job Description:

The Senior Analytics Engineer will work closely with the People & Culture leadership team to develop analytics data models that deliver data insights. Partner with HR stakeholders to gather and analyze data requirements for various People & Culture reporting dashboards. Analyze data coming from various HR systems, such as UKG, SAP SuccessFactors, SmartRecruiters, etc. Create and maintain robust data models to support analytics reports for the P&C team using DBT or SQL. Ensure data integrity and consistency while safeguarding sensitive information using effective data masking policies. Collaborate with the Governance team to ensure data processes adhere to policies, procedures, and regulatory requirements. Document technical solutions, processes, and various data artifacts.

Key Responsibilities:

• Partner with HR stakeholders to gather and analyze data requirements for various People & Culture reporting dashboards.
• Analyze data coming from various HR systems, such as UKG, SAP SuccessFactors, SmartRecruiters, etc.
• Create and maintain robust data models to support analytics reports for the P&C team using DBT or SQL.
• Ensure data integrity and consistency while safeguarding sensitive information using effective data masking policies.
• Collaborate with the Governance team to ensure data processes adhere to policies, procedures, and regulatory requirements.

Qualifications:

• Previous experience in People Analytics is highly desirable.
• Advanced experience with SQL, PowerBi, and/or Tableau are essential.
• Experience with Snowflake (or similar such as AWS or Google) and DBT would be advantageous.
• Knowledgeable about data warehousing, modeling, and reporting concepts.
• Experience with Fivetran, Boomi, Github, JIRA are desirable.
• Experience with SAP SuccessFactors or similar HCMs is preferred.
• Must have experience in analyzing, manipulating, and dealing with large-scale data.
• Excellent analytical and problem-solving skills, with a commitment to high-quality analytics deliverables.
• Competent verbal and written communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences.



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