Senior Data Process & Dashboards Lead

Capital One; Oslo fylke; Híbrido; NOK 88.000 - 132.000; Tempo integral

Resumo da vaga

Capital One Philippines Service Corp. in Alabang, Muntinlupa (Philippines) is hiring a Senior Data Process Specialist. The role partners with Data Analysts, Data Analysis Leads, and Tech teams to deliver data reports and processes that improve efficiency.

You will create new reports, dashboards, and basic data scripts; support data ecosystem enhancements; manage production jobs; and contribute to governance and process improvements in a hybrid setup with a mid-shift schedule.

Qualificações

• At least 1 year experience in SQL programming and visualization.
• At least 1 year of experience in process management or project management.
• Bachelor's Degree or equivalent working experience.

Responsabilidades

• Create new reports/dashboards and deploy enhancements to existing ones.
• Create basic data scripts.
• Assist with data ecosystem and infrastructure enhancements.
• Perform and administer release management.
• Manage reports and dashboards for Leaders/Stakeholders to track key metrics and support daily business.
• Modify data scripts as upstream/downstream environments change.
• Run and manage data production jobs with quality oversight.
• Contribute to User Acceptance Testing for new data sources.
• Run data product governance for the team.
• Oversee multiple processes and implement improvements with cross-functional teams.
• Analyze data to identify trends and gaps for leadership reporting.
• Resolve complex process issues by coordinating with stakeholders.

Conhecimentos

SQL

Data Visualization

Process management

Formação

Bachelor's Degree

Ferramentas

Power BI

Descrição da vaga

Capital One Philippines Service Corp. in Alabang, Muntinlupa (Philippines) is hiring a Senior Data Process Specialist. The role partners with Data Analysts, Data Analysis Leads, and Tech teams to deliver data reports and processes that improve efficiency.

You will create new reports, dashboards, and basic data scripts; support data ecosystem enhancements; manage production jobs; and contribute to governance and process improvements in a hybrid setup with a mid-shift schedule.