Lead insights data scientist

Equifax; Auckland; Hybrid; NZD 120,000 - 180,000; Full time

Job summary

Equifax in Auckland leads the Data and Analytics team with hands-on leadership to turn complex data into actionable visual solutions. You will guide cross-functional efforts, build dashboards, establish data access standards, and mentor junior teammates to drive business success.

The role focuses on delivering NZ insights, advancing data visualisation methodologies, and coordinating with IT, sales, and clients to implement robust data solutions.

Qualifications

• Bachelor of Science in a STEM major or equivalent quantitative discipline.
• 7–10 years in data analytics or data science.
• Proven hands-on leadership, coaching and mentoring junior team members.
• Experience writing Python, JavaScript and SQL.
• Experience extracting and transforming data with SQL, R, Hive, Impala or Python.
• Hands-on visualization experience using Spotfire or open-source tools.

Responsibilities

• Lead cross-functional initiatives to build high-impact dashboards.
• Coach junior team members to drive business success.
• Design, document, test, and support data visual solutions with clients.
• Develop standards for data visualization, access, and integration.
• Create tailored dashboards and reports summarising complex data.
• Produce presentation-ready visuals and analyses with Tableau-like tools.

Skills

Python

SQL

JavaScript

R

Hive

Impala

Data visualization

Education

Bachelor of Science in a STEM major

Tools

Spotfire

Job description

Work Location - Auckland, NZ ONLY

The Lead Data Insights Data Scientist will serve as a technical expert and hands-on leader within our Data and Analytics team, turning complex data into actionable visual solutions. In this role, you will lead cross-functional initiatives to build high-impact analytical dashboards, establish data access standards, and coach junior team members to drive business success. If you are passionate about hands-on data science, mentoring others, and storytelling with data, this is your opportunity to power your possible.

What you'll Do

• Deliver topical and actionable NZ insights, providing industry-specific intelligence to help our customers navigate the credit and finance landscape.
• Serve as a thought leader for data visualisation, developing new methodologies to elevate individual and team performance.
• Lead Data and Analytics professionals, IT, Sales, and clients to design, document, test, and support internal and customer-facing data visual solutions.
• Create strategies, standards, and best practices for data visualisation, data access, and data integration across big data analytical platforms.
• Design and construct tailored dashboards and reports that summarise vast quantities of complex data.
• Create presentation-ready visualisations and analyses using Tableau and cloud native visualisation technologies.
• Build wireframes and interactive mock-ups of dashboards to communicate functionality to internal stakeholders and clients.
• Define agile data extraction and transformation methodologies using SQL, R, Hive, Impala, or Python to derive data marts driving dashboards.
• Provide hands-on leadership, establishing priorities, coaching, and mentoring junior team members to align with overall business strategy.

What Experience You Need

• Bachelor of Science degree in a STEM major or equivalent quantitative discipline.
• 7-10 years of experience in a data analytics or data science role.
• Proven hands-on leadership experience, specifically coaching, guiding, and mentoring junior team members.
• Demonstrated experience writing code in Python, JavaScript, and SQL.
• Experience extracting and transforming data using platforms such as SQL, R, Hive, Impala, or Python.
• Hands-on experience building visualisations using Spotfire or open-source visualisation platforms.

What Could Set You Apart

• Credit risk management and analytics experience
• Active Cloud certification, specifically hands-on experience in Google Cloud Platform (GCP).
• Prior work experience delivering credit risk, commercial, or consumer-type insights.
• Hands-on experience with Tableau or broader Business Intelligence (BI) tools.
• Proven record of consulting directly with business users to translate complex technical architectures into actionable commercial insights

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 are proud to hold a Reflect Reconciliation Action Plan (RAP) and encourage applications from Aboriginal and Torres Strait Islander peoples. We welcome people of all backgrounds, knowing that diverse perspectives spark the innovation we need to win.

Primary Location:

NZL-Auckland

Function:

Function - Data and Analytics

Schedule:

Full time