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Data Analyst

A7405949

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

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.

We believe that when we’re at our best, we can do our best. Equifax offers policies and programs that support our employees’ financial and personal wellbeing with additional leave days, hybrid working environment, employee assistance program and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

El trabajo en Equifax

Creemos en una mentalidad de crecimiento. En Equifax, esto incluye brindar a nuestros empleados oportunidades para desempeñarse al máximo y aprender nuevas habilidades a lo largo del camino para inspirar y desarrollar carreras profesionales satisfactorias

Equifax es un empleador que ofrece igualdad de oportunidades. Todos los aplicantes calificados recibirán consideración para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad o discapacidad.

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