Data Analyst

Equifax; Auckland; On-site; NZD 75,000 - 110,000; Full time

Job summary

Equifax in Auckland is seeking a data stewardship specialist to transform complex data into scalable solutions. You will partner with business stakeholders to streamline processes, ingest diverse data sources, and craft compelling data narratives for management.

Ideal candidates have 2+ years as a data analyst, strong SQL/BigQuery/R/Python and hands-on experience with Tableau/Looker, plus a track record of collaborating across teams.

Qualifications

• Bachelor's degree in a STEM field or equivalent.
• 2+ years in a data analyst role delivering impactful results.
• Strong SQL, BigQuery, R, Python, Excel/Sheets, Tableau and Looker skills.
• Experience delivering descriptive and diagnostic analysis with stakeholders.

Responsibilities

• Translate insights into tangible solutions with business stakeholders.
• Prioritize ingestion and prepare complex data sources for design.
• Communicate findings clearly to management with data narratives.
• Tackle analytical problems across multiple business domains.
• Articulate impact and drive recommended actions and improvements.
• Collaborate with governance/compliance to ensure proper data use.
• Track progress and report back to owners.
• Leverage AI and automation to speed data prep and queries.

Skills

Analytical thinking

Stakeholder collaboration

GenAI for data workflows

GCP experience

Education

Bachelor's degree in STEM

Tools

SQL

BigQuery

R

Python

Excel

Google Sheets

Tableau

Looker

Job description

Work Location - Auckland ONLY

We're looking for a talented individual for the data stewardship space for our core data assets. You'll be instrumental in working with business stakeholders to understand their challenges and leverage your expertise to create robust, scalable data solutions.

What you will do

• Translate analytical insights into tangible solutions, working closely with business stakeholders to implement improvements and streamline processes.

• Prioritize ingestion, analyze, understand, and prepare complex and novel data sources, seamlessly integrating them into project designs.

• Communicate with Influence, summarize, visualize, and present compelling data narratives to management and business users, making complex findings accessible and impactful.

• Tackle intricate analytical problems for internal stakeholders and external customers across diverse business domains.

• Clearly articulate the strategic importance and business impact of your findings, recommending appropriate courses of action. You'll champion the implementation of solutions and process improvements, highlighting the qualitative and quantitative value of your analysis.

• Collaborate closely with data governance and compliance professionals to ensure the proper and ethical use of Equifax data assets.

• Track and communicate progress back to the owners.

• Proactively leverage enterprise AI and automation tools to streamline data preparation, optimize complex SQL/Python queries, and accelerate time-to-insight.

What experience you need

• A Bachelor's degree in a STEM major or an equivalent discipline.

• 2+ years of experience in a related data analyst role, with a proven track record of delivering impactful results.

• Strong proficiency in SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, and Looker.

• Demonstrated experience working collaboratively within a team to produce descriptive and diagnostic analysis.

• Ability to partner effectively with non-technical stakeholders to explore new capabilities and data monetization opportunities.

• Demonstrated track record of utilizing AI productivity tools to increase personal technical output and problem-solving speed.

What could set you apart

• An exceptional analytical mindset with a natural curiosity for data.

• Proven problem-solving capabilities and a strategic approach to challenges.

• Strong skills in data investigation and a keen eye for detail.

• Hands-on experience with Google Cloud Platform (GCP).

• Ability to communicate complex data concepts to non-technical stakeholders.

• Hands-on experience applying GenAI capabilities to data workflows within strict data privacy, ethics, and corporate governance frameworks.

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.

Primary Location:

NZL-Auckland

Function:

Function - Data and Analytics

Schedule:

Full time