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ING

Expression of Interest - Data Analytics Professionals

ING is hiring an Expression of Interest - Data Analytics Professionals in Sydney, Australia. Level rates it ; you can apply on ING.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include SQL, data analytics and customer insights.
  • Level classifies it as a mid-level role.
  • Level lists 658 other open roles at ING.

AI in this role

Analyze large and complex customer, campaign, and digital datasets to uncover insights and drive data-driven business decisions.

SQL
data-analyticscustomer-insightscampaign-analyticssql

Expression of Interest: Data Analytics Opportunities

We're seeking expressions of interest from talented analytics professionals for a range of upcoming opportunities across the below role types:

Opportunities Include:

  • Customer Insights Analyst – leveraging customer and behavioural data to uncover insights, identify opportunities, and influence customer experience and strategic decision-making.

  • Digital Sales Analyst – focused on digital acquisition, conversion optimisation, experimentation, and performance analysis to drive online sales outcomes.

  • Campaign Data Analyst – partnering with marketing teams to deliver campaign analytics, measure effectiveness, optimise targeting, and improve customer engagement.

  • Customer Strategy Analyst – combining analytical insights with strategic thinking to support customer growth, retention, and commercial outcomes.

These roles sit within high-performing, data-led teams that use analytics to drive customer engagement, commercial performance and strategic decision-making.

What You'll Do

  • Analyse large and complex customer, campaign and digital datasets to uncover actionable insights and identify opportunities for growth and optimisation.

  • Develop, maintain and optimise SQL queries, data tables and analytical datasets to support reporting, performance tracking and business decision-making.

  • Measure campaign effectiveness, customer behaviour and digital sales performance, providing recommendations that improve customer and commercial outcomes.

  • Partner with stakeholders across marketing, digital, customer and strategy teams to understand business challenges and deliver data-driven solutions.

  • Translate complex data into clear insights and compelling recommendations that influence strategy, customer experience and business performance.

What We're Looking For

  • Exceptional SQL skills, with the ability to independently extract, manipulate and analyse data from large and complex datasets.

  • Experience in roles such as Data Analyst, Campaign Data Analyst, Customer Insights Analyst, Digital Sales Analyst, Customer Strategy Analyst or similar.

  • Proven capability in data preparation, reporting, campaign analytics, customer analytics and performance measurement.

  • Excellent problem-solving and critical thinking skills, with a passion for turning data into meaningful business insights.

  • Excellent communication and stakeholder management skills, with the confidence to work autonomously and contribute from day one.

These opportunities offer exceptional stakeholder exposure, the chance to influence customer and commercial outcomes, and the opportunity to work in a collaborative environment where data is at the heart of decision-making.

As SQL is a core requirement, candidates should be comfortable demonstrating their technical capability through a brief SQL assessment during the recruitment process.

What’s in it for you?

  • Discounted ING Health Insurance

  • An additional Rest Day to support your wellbeing

  • An IMPACT day to volunteer on approved sustainability activity

About Us

At ING, we’re all about making life simpler and more rewarding - for the people who bank with us, the team members who work with us, and the communities we’re proud to support. Joining ING means stepping into an environment where your individuality isn’t just welcomed - it’s celebrated. We’ve built a culture that’s fun, inclusive, and supportive, giving you the freedom to be yourself, so you can do your thing.

Whether you’re taking ownership of exciting projects, thinking outside the box, or working with global colleagues, you’ll find ING is the kind of place where growth isn’t just a possibility; it’s a promise. As a WGEA Employer of Choice for Gender Equality and Family Inclusive workplace, you’ll feel the difference in how we value and champion our people.

We make hiring decisions based on your skills, capabilities, and how you align with our values - not on ticking every box. So, if you’re interested but don’t meet all the criteria, we encourage you to apply. We’re invested in fostering a diverse and inclusive workplace where everyone feels like they belong. We’re your allies in helping you do your thing during the recruitment process, so let us know (email below) if you require any support or adjustments when you apply

Sound like your kind of vibe? We can’t wait to hear from you!

(One last note: We operate using a direct talent sourcing model, so no agency introductions, please.)

ING is Australia’s most recommended bank according to RFI Global’s Consumer Atlas Survey, January–June 2025 (n = 29,510) when compared to customers of the 10 largest ADIs operating in Australia.

Need more?


Contact: Skye Griffiths on skye.griffiths@ing.com

For support and adjustments, including DEI, LGBTQI+ confidential application support enquiries: rpoteam.au@ing.com

#LI-DNI

How we rate this

Expression of Interest - Data Analytics Professionals at ING rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalyticsCustomer InsightsCampaign AnalyticsSQL

Questions you could be asked

  1. Tell me about a project where data analytics was part of your work. What did you do?
  2. Tell me about a project where customer insights was part of your work. What did you do?
  3. Tell me about a project where campaign analytics was part of your work. What did you do?
  4. Tell me about a project where sql was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Analytics, Customer Insights, Campaign Analytics, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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