Job Description

Company Description

About SEEK

At SEEK, we serve a noble purpose: to help people live more fulfilling and productive working lives and to help organisations succeed.

By joining us, you’ll be part of a multi-national technology business that is far-reaching with a start-up working culture that focuses on a set of collaborative values and appreciates dynamic cultures. SEEK is a place where potential meets possibility – it’s where your career aspiration and our purpose can make great things happen.

Why join us?

Be part of a multi-national tech company with strong core values to help us solve complex challenges for our customers while building a flexible, exciting career – one that could take you anywhere.

We’re looking for people who thrive in dynamic teams and enjoy tackling regular new challenges in a large-scale, modern, and agile environment. As one of Asia Pacific’s largest tech companies, you’ll contribute to multi-lingual systems, solving high-impact problems to the benefit of millions of people within the region.

Be part of a fast-growing company with a strong culture and clear purpose, innovation and strong investment in responsible AI. SEEK offers you the opportunity to be involved in impactful work and be part of a great team. Expect a great investment in your career development with access to workshops, conferences and courses while you work alongside seasoned experts.

Job Description

We’re looking for a Data Analyst to join our Candidate Quality team within Artificial Intelligence & Platform Services (AIPS). You’ll help us understand whether our candidate-quality models are performing as intended, how they contribute to marketplace outcomes and where better data and insight can improve product decisions.

You’ll own core data models, metrics and reporting, evaluate model performance, and partner with Product and Data Science to turn complex analysis into clear recommendations. This is an individual contributor role reporting to the Analytics Manager, Agentic Hiring. It’s based in Melbourne and works closely with Product, Data Science, Engineering and business stakeholders across SEEK.

Your analysis will help teams understand what “good” looks like in a complex marketplace, improve the quality of candidate recommendations and make better decisions for both candidates and hirers.

Key Responsibilities

• Analyse candidate-quality model performance, drivers and marketplace outcomes, and turn findings into actionable insights.
• Partner with Product and business leads to frame problems, test hypotheses and inform product direction.
• Build, test, document and maintain reliable data transformations using SQL, dbt and Git-based workflows.
• Create and improve Tableau dashboards and reporting products.
• Evaluate model outputs, measures, limitations and real-world hiring outcomes.
• Design or support A/B tests, analyse results and recommend product actions.
• Communicate insights clearly to technical and non-technical stakeholders, and improve the definitions and practices the team relies on.

Qualifications

• Demonstrated experience in a data analytics role delivering business, product or customer outcomes.
• Strong SQL and Python skills, including data manipulation and statistical analysis.
• Experience building and maintaining robust data models with complex datasets.
• Experience using dbt and Git, or equivalent version-controlled development practices.
• Knowledge of machine learning or statistical concepts, experimentation and model evaluation.
• Experience building Tableau dashboards or comparable business intelligence products.
• Structured problem-solving and strong analytical reasoning skills.

Additional Information

About the Team

The Product Analytics team sits within Artificial Intelligence & Platform Services (AIPS) and helps product teams understand customer behaviour, measure product performance and make evidence-based decisions across the marketplace. Our colleagues are based in Melbourne, Hong Kong and Kuala Lumpur, partnering with Product and leadership teams across Candidate and Hirer, as well as Data Science and other AIPS teams.

The Candidate Quality team uses data, product insight and data science to help SEEK create better connections between candidates and hirers. We work across the candidate and hirer experiences to understand what contributes to quality in the marketplace and identify practical ways to improve it.

At SEEK we offer:

• Support of flexible working, including a mix of office and work from home days depending on your role
• Annual Performance Bonus Plan
• Paid and unpaid leave benefits including Personal Flexi Days as well as the opportunity to purchase additional leave
• The opportunity to work from anywhere for up to 4 weeks per financial year
• SEEKer Support, a confidential service that offers employees access to free quality counselling sessions with a mental health professional of choice
• Frequent events including sports days, year-end party, hackathon, and trivia
• Casual dress every day

At SEEK, we are passionate about fostering a culture of inclusion and wellbeing that embraces and values the diversity of our people. We are a purpose driven business that works with heart.

We know teams with diverse ideas, experiences and perspectives are more creative and are critical to ensuring effective delivery and innovating to enable our future success. As such, we welcome applications from people with diverse backgrounds and life experiences, especially as they relate to gender, sexual identity, culture, faith, disability and life stages. If you have the skills, curiosity and an adaptable mindset but don't meet every responsibility or qualification listed in this advertisement, please still get in touch with us. Should you require any specific support or adjustments throughout the recruitment process and beyond, please advise us and we will be happy to assist.

For this role, only those with eligible right to work will be considered.

SEEK kindly requests no unsolicited resumes or approaches from recruitment agencies and will not be responsible for any associated fees.