Hybrid Data Analyst: Drive Data Strategy and Insights

DysrupIT Pty; Makati; Hybrid; PHP 480,000 - 750,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive compensation package

Government-mandated benefits plus HMO

Job summary

DysrupIT is seeking a Data Analyst to gather, analyse and solve problems related to data, data types and the relationships between data elements within business and IT systems. You will bring both data and business domain expertise, showing how business workflows map to data and how data can be integrated to build reusable data products.

You will act as a subject matter expert for delivery teams, working with business and technical stakeholders to guide data management, data quality and data

Qualifications

• Experience gathering stakeholder requirements to support business processes.
• Experience guiding data management and data quality initiatives with delivery teams.
• Ability to map business workflows to data and build reusable data products.

Responsibilities

• Understand how the business uses data and gather stakeholder requirements.
• Provide data management direction for data foundation initiatives and data product development.
• Analyse current data management processes and help shape future needs.
• Contribute to the design of common information models.
• Assess data quality issues and drive mitigation activities.
• Advise on data integration patterns, modelling and quality.
• Maintain and share knowledge of data definitions, stores, and creation processes.

Skills

Data modelling

Data visualisation

Stakeholder liaison

Tools

Azure SQL

Python

Power BI

Purview

Job description

DysrupIT is seeking a Data Analyst to gather, analyse and solve problems related to data, data types and the relationships between data elements within business and IT systems. You will bring both data and business domain expertise, showing how business workflows map to data and how data can be integrated to build reusable data products.

You will act as a subject matter expert for delivery teams, working with business and technical stakeholders to guide data management, data quality and data