Data Insight Analyst

Randstad New Zealand; Auckland; Hybrid; NZD 95,000 - 140,000; Full time

Job summary

Randstad New Zealand is seeking a Data Insights Analyst to design and optimize data-driven customer communications. You will translate marketing needs into technical campaign builds, perform pre/post-campaign analysis, and develop dashboards to track performance.

The role requires strong SQL/SAS, data manipulation skills, and experience in data-driven marketing or CRM. A banking/financial services background is a plus; expect a hybrid work setup and collaborative, fast-paced teams.

Qualifications

• Strong SQL/SAS data analysis experience in marketing or CRM contexts.
• Experience analyzing large datasets and surfacing actionable insights.
• Background in data-driven marketing, CRM, or customer analytics (banking/financial services is a plus).
• Excellent stakeholder management and communication with advanced Excel/PowerPoint skills.
• Structured problem-solving with high attention to quality outputs.

Responsibilities

• Designing and optimizing data-driven customer communications using SQL/SAS and similar tools.
• Translating marketing and product requirements into technical campaign builds, segmentation logic, and data structures.
• Analyzing pre- and post-campaign performance, identifying key drivers, and recommending optimization opportunities.
• Developing analytical assets, reporting frameworks, and dashboards to track and improve campaign effectiveness.
• Collaborating within agile squads to deliver compliant, scalable, and personalized multi-channel communications.

Skills

SQL

SAS

Data Manipulation

Data Analysis

Database Segmentation

Campaign Build & Logic

Campaign Data Management

Data-Driven Marketing

CRM

Customer Analytics

Behavioral Triggers

Performance Optimization

Multi-Channel Communications

Banking

Education

Bachelor Degree

Tools

Excel

PowerPoint

Job description

Data Insights Analyst

The Company

Our client is a global leader in business consulting and tech advisory, delivering high-impact solutions to enterprise clients, financial institutions, and businesses across New Zealand and worldwide. Known for driving market innovation and transformation, they partner directly with industry leaders to optimize operations, customer engagement, and data-driven strategy.

The Role

As a Data insight Analyst, you will build, design, and optimize data-driven customer communication strategies across major portfolios. This includes:

• Designing: Building and executing data-driven customer communications using SQL/SAS and similar tools.
• Translating: Marketing and product requirements into technical campaign builds, segmentation logic, and data structures.
• Analyzing: Pre and post-campaign performance, identifying key drivers, and recommending optimization opportunities.
• Developing: Analytical assets, reporting frameworks, and dashboards to track and enhance campaign effectiveness.
• Collaborating: Within agile squads to deliver compliant, scalable, and personalized multi-channel communications.

Key Requirements

• Strong experience in SQL/SAS for data analysis, campaign development, and data manipulation.
• Proven ability to analyze large datasets, surface insights, and build analytical assets.
• Experience in data-driven marketing, CRM, or customer analytics (banking or financial services domain is an advantage).
• Strong stakeholder management and communication skills, with advanced proficiency in Excel and PowerPoint.
• A structured problem-solving approach with high attention to detail and a commitment to quality outputs.
• Permanent fixed-term opportunity running until June 2028, offering potential for further extension.

In return, you will receive competitive remuneration along with an excellent company culture and hybrid work environment to thrive in.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

Skills

SQL, SAS, Data Manipulation, Data Analysis, Database Segmentation, Campaign Build & Logic, Campaign Data Management, Data-Driven Marketing, CRM, Customer Analytics, Behavioral Triggers, Performance Optimization, Multi-Channel Communications, Banking.

Qualifications

• Bachelor Degree

education

Bachelor Degree&ICT