Work Location -  Auckland ONLY

As an Intermediate Data Analyst within our Data Analysis Chapter, you will play a critical role in maintaining the accuracy, completeness, timeliness, integrity, and performance of ingestion and data quality of Equifax’s core data assets. You will configure and implement data transformation processes and pipelines, using data mining tools to prepare complex data for downstream analysis. Additionally, you will support the modernisation of legacy ingestion processes while delivering actionable data visualisations to key stakeholders.

What You'll Do 

• Analyse, configure, and implement data transformation and ingestion processes independently to support Equifax data assets.

• Execute investigative data analysis and evaluate data issues.

• Support the design, development, and implementation of data pipelines, processing controls, and automated solutions along the data ingestion lifecycle

• Integrate and migrate legacy data transformation, validation, and standardization processes into new processing platforms using modern analytics tools.

• Develop tools, metrics, and data quality assessment models to monitor the integrity, accuracy, and timeliness of data supply

• Extract data from disparate systems to diagnose supply trends, loading anomalies, and data provider input quality, implementing corrective solutions.

• Create dashboards and visual reports using advanced data visualisation tools to translate analytical findings into clear business insights

• Collaborate cross-functionally with Product Managers, IT, Data Governance, Legal, and Compliance to ensure proper management of data assets.

• Prepare and maintain clear technical documentation and audit trails for assignments to support quality reviews.

• Provide guidance to team members as a subject matter expert and lead short-term technical projects or process improvement initiatives.

What Experience You Need

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Mathematics, Engineering, or a related numerate discipline (or equivalent practical experience).

• 3+ years of experience in database analysis and data management.

• 3+ years of experience independently building data reports and analytical dashboards.

• Demonstrated proficiency in writing SQL queries for data extraction and analysis.

• Hands-on experience using Python for data wrangling and transformation.

• Practical experience creating visualisations using Business Intelligence tools (e.g., Tableau).

• Experience designing and managing relational database schemas, standardisation rules, and data quality metrics.

What Could Set You Apart 

• Practical experience with Google Cloud Platform (GCP) tools and data analytical infrastructure.

• Proven track record in data mapping and process mapping within complex data environments.

• Direct experience working with external data providers or in client-facing technical discussions.

• Prior involvement in migrating legacy data ingestion pipelines to cloud-native platforms

We know great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday–Thursday), paired with Friday Flexibility to wrap up your week remotely.

 

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