Data & BI Product Owner — Remote/Hybrid, Impactful Analytics

LUZA Group; Lisboa; Híbrido; EUR 42 000 - 64 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work when possible

Work equipment provided

Benefits plan

Resumo da oferta

LUZA Group is seeking an experienced Product Owner for Data & BI projects, based in Lisbon with hybrid work options. You will gather business needs, define priorities, and collaborate with stakeholders to establish KPIs and reporting. Strong analytics, SQL, and data modeling skills are essential, with fluent English and French required.

In this role you will bridge business and technical teams, ensure data quality, and lead Agile ceremonies while delivering value across our data platforms.

Qualificações

• Experience as Product Owner in Data & BI projects.
• Strong data, reporting and analytics understanding.
• Proficient in Agile/Scrum and Jira.
• Fluent in English and French (mandatory).

Responsabilidades

• Gather business needs and requirements.
• Define priorities and manage the backlog.
• Work with stakeholders to define KPIs and reporting needs.
• Support data analysis and data modeling.
• Ensure data quality and platform performance.
• Coordinate testing and validation activities.
• Lead Agile ceremonies and follow project progress.
• Create and maintain project documentation.
• Provide user support and training.

Conhecimentos

Product Owner

Data & BI

Agile/Scrum

Jira

Snowflake

Power BI

Azure Data Factory

SQL

Data analysis

Stakeholder management

Communication

Ferramentas

Jira

Snowflake

Power BI

Azure Data Factory

Descrição da oferta de emprego

LUZA Group is seeking an experienced Product Owner for Data & BI projects, based in Lisbon with hybrid work options. You will gather business needs, define priorities, and collaborate with stakeholders to establish KPIs and reporting. Strong analytics, SQL, and data modeling skills are essential, with fluent English and French required.

In this role you will bridge business and technical teams, ensure data quality, and lead Agile ceremonies while delivering value across our data platforms.