Senior Data Analyst

2 weeks ago

Singapore Halcyon Knights Full time

**Long Term Day Rate Contract role**

**Informatica experience**

**Informatica Intelligent Cloud Services (IICS).**

**This is an initial **9 month** contract with a high chance of extensions.**

**2-3 days in the Sydney, CBD offices.**

**Government client**

**This role will suit a Senior Data Analyst with **Informatica experience and ideally IICS experience.**

Are you passionate about ensuring data accuracy, completeness, and reliability? Do you have experience in data quality management and the skills to transform data into actionable insights?As a Data Quality Analyst, your primary responsibility is to understand and enhance data quality while supporting the Data Management Tools that facilitate metadata management, data lineage, and data quality monitoring.

Hands-On Data Quality Experience:
Hands-on experience in data mining and defining data quality rules, either by writing SQL scripts or using tools like Informatica Data Quality.

Data Analysis Expertise:
Data Management Skills:
Experience with data lakes, data warehouses, and data marts.

Data Governance Background:
Experience in creating and maintaining data dictionaries, managing metadata, and maintaining master and reference data.

Collaborative Skills:
Demonstrable experience as a workshop contributor, building strong relationships with peers and stakeholders to deliver actionable business insights and solutions.

**Your key responsibilities will include**:
Defining Data Quality Specifications:
Data Quality Management:
Manage data quality issues and ensure that data remains valid, accurate, complete, consistent, timely, and suitable for various organizational needs. Keep master reference data up to date as required.

Support Projects:
Assist projects with data quality-related functions, including identifying data sources, data extraction and transformation, data mapping, data reconciliation, data cleansing, data aggregation, data deduplication, data quality assessment, and root cause analysis of data quality issues.

Stakeholder Collaboration:
Establish and maintain collaborative working relationships with stakeholders, both internal and external.

Subject Matter Expertise:
Provide expert advice and support to stakeholders on data quality matters.

Continuous Improvement:
Contribute to the continuous improvement of data quality management processes and systems. Leverage industry best practices, tools, and techniques to enhance data quality.

Reporting and Analysis:
Prepare correspondence, briefing documents, and reports for senior management on data quality-related issues. Present analysis, findings, and summaries effectively.

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