Campaign Analytics Architect & Insights Lead

ing; Sydney; On-site; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Discounted ING Health Insurance

Rest Day

IMPACT day to volunteer

Job summary

ING in Sydney, Australia is seeking a data analytics professional to turn multi-source data into actionable campaign insights. You will build dashboards, perform data wrangling and collaborate with Product, Marketing and senior stakeholders to translate findings into practical recommendations.

The role emphasizes advanced SQL, Tableau, and scripting in Python or R, with a focus on data quality and measuring engagement to identify campaign improvements and cost efficiencies.

Qualifications

• Proven experience in data analytics roles supporting campaigns, marketing, customer communications or CRM environments.
• Advanced SQL skills, Tableau experience, and proficiency in Python or R.
• Experience with scripting in R, Python, Bash; knowledge of DevOps and version control.
• Excellent data wrangling and analysis with large, complex datasets.

Responsibilities

• Analyse and integrate data from multiple sources to measure campaign performance, customer engagement and communication effectiveness.
• Develop dashboards and data visualisations to convey performance trends and opportunities.
• Liaise with Product Owners, Marketing and senior stakeholders to develop data-driven solutions.
• Use statistical analysis to advise on campaign strategy, targeting and parameters.

Skills

Advanced SQL

Tableau experience

Python/R scripting

Statistical analysis

Stakeholder management

Data wrangling

Tools

Python

R

Bash

Git

DevOps concepts

SQL tooling

Job description

ING in Sydney, Australia is seeking a data analytics professional to turn multi-source data into actionable campaign insights. You will build dashboards, perform data wrangling and collaborate with Product, Marketing and senior stakeholders to translate findings into practical recommendations.

The role emphasizes advanced SQL, Tableau, and scripting in Python or R, with a focus on data quality and measuring engagement to identify campaign improvements and cost efficiencies.