Hybrid Data Analyst: Shape Data Quality & Insights

DysrupIT Pty; Makati; Hybrid; PHP 350,000 - 600,000; Full time

Benefits offered by this job

Competitive compensation

HMO coverage

Hybrid work arrangement

Career growth

Job summary

DysrupIT Pty is seeking a Data Analyst to gather, analyze, and solve data problems across business and IT systems. You will bridge data and business domains, guiding data management and data foundation initiatives with delivery teams.

You will act as a subject matter expert linking IT and business to gather requirements, ensure data quality, and support data product development. Hybrid work arrangement is offered.

Qualifications

• Strong data fluency and ability to map business workflows to data assets.
• Experience shaping data management and data foundation initiatives.
• Knowledge of data quality assessment and remediation.
• Ability to design common information models and data stores.
• Familiarity with data integration patterns and governance concepts.

Responsibilities

• Understand how the business uses data and gather stakeholder requirements to support processes and objectives.
• Guide data foundation initiatives and data product development with delivery teams.
• Analyse current data management practices to shape future needs.
• Contribute to the design of common information models.
• Assess data quality issues and drive mitigation activities.
• Advise on data integration, modelling and governance practices.
• Share knowledge of data requirements and data definitions across teams.

Skills

Data analysis

Data modelling

Data governance

Stakeholder management

Data quality

Tools

Azure SQL

Python

Power BI

Microsoft Purview

Job description

DysrupIT Pty is seeking a Data Analyst to gather, analyze, and solve data problems across business and IT systems. You will bridge data and business domains, guiding data management and data foundation initiatives with delivery teams.

You will act as a subject matter expert linking IT and business to gather requirements, ensure data quality, and support data product development. Hybrid work arrangement is offered.