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FinOps Data Analyst

Cremorne, Victoria, Australia

Live, first seen by us 1 day ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workFor this role, only those with eligible right to work will be considered

What you’ll work on

Full posting

As a FinOps Data Analyst at SEEK, you will turn complex cloud, AI and SaaS cost data into intelligence that engineering teams, Finance and senior leaders can act on.

  • Build trusted, query-ready datasets from AWS CUR, GCP BigQuery billing exports and vendor APIs

  • Build and maintain QuickSight dashboards for engineering, Finance and senior leaders

  • Apply statistical and ML methods to cost anomaly detection and trend analysis

  • Model unit economics such as cost per customer, placement, API call or inference

  • Extend FinOps reporting to AI workloads, tracking token use, inference cost and GPU utilisation

From the employer’s posting
As a FinOps Data Analyst at SEEK, you will turn complex cloud, AI and SaaS cost data into intelligence that engineering teams, Finance and senior leaders can act on. This is a hands-on analytical role sitting at the intersection of data science, business intelligence and cloud financial management. You will own the datasets, the models, and the dashboards that make SEEK's technology spend visible, explainable and forecastable.
Collect, process and model cloud, AI and SaaS cost and usage data — AWS Cost and Usage Reports, GCP BigQuery billing exports and vendor APIs — into trusted, query-ready datasets.
Build and maintain dashboards and visualisations in QuickSight that give engineering teams, Finance and senior leaders a single source of truth for cloud spending
Apply statistical and machine learning techniques to cost anomaly detection, seasonality and trend analysis
Model unit economics — cost per customer, per placement, per API call, per inference
Extend FinOps reporting into AI and ML workloads, tracking token consumption, inference cost, GPU utilisation and API spend

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in data science, statistics, computer science, information technology, finance, economics or a related quantitative field, or equivalent professional experience.
  • Experience applying FinOps to AI workloads and using AI to support FinOps.
  • Strong SQL and data modelling skills, with hands-on experience querying large, granular billing datasets (e.g.
  • Experience managing AI/ML inference costs, API consumption, and token-based pricing across AI services; tracking cost per token, cost per inference and GPU utilisation; and experience with agentic AI solutions to provide automated insights at scale.
  • Proven experience building BI dashboards and visualisations (e.g.
  • Experience applying data science to operational or financial data — regression, time-series forecasting (e.g.
Qualification wording
Bachelor's degree in data science, statistics, computer science, information technology, finance, economics or a related quantitative field, or equivalent professional experience.
Experience applying FinOps to AI workloads and using AI to support FinOps.
Strong SQL and data modelling skills, with hands-on experience querying large, granular billing datasets (e.g. Athena, BigQuery, Redshift, Snowflake).
Experience managing AI/ML inference costs, API consumption, and token-based pricing across AI services; tracking cost per token, cost per inference and GPU utilisation; and experience with agentic AI solutions to provide automated insights at scale.
Proven experience building BI dashboards and visualisations (e.g. QuickSight, Looker, Power BI, Tableau, Domo) for both engineering and executive audiences.
Experience applying data science to operational or financial data — regression, time-series forecasting (e.g. ARIMA, Prophet), clustering, and outlier or changepoint detection.
Education & alternatives
Essential skills and experience - Bachelor's degree in data science, statistics, computer science, information technology, finance, economics or a related quantitative field, or equivalent professional experience. - Strong SQL and data modelling skills, with hands-on experience querying large, granular billing datasets (e.g. Athena, BigQuery, Redshift, Snowflake).

About SEEK

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

In the employer’s words · Read in context

Apply at SEEK

Posting record

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Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026
Reposted
once since Sep 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 41.

From 10,535 similar postings that came down. Coming down is not always a hire.

SEEK is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 17% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Bash
  • Python
  • R
  • SQL
  • AWS
  • Azure
  • BigQuery
  • dbt
  • GCP
  • Looker
  • Power BI
  • Redshift
  • Snowflake
  • Tableau
  • Airflow
Where the posting names them
- Proven experience building BI dashboards and visualisations (e.g. QuickSight, Looker, Power BI, Tableau, Domo) for both engineering and executive audiences. - Proficiency in Python (or R) for data analysis, statistical modelling, recurring reporting automation and data collection scripting (e.g. Bash). - Hands-on experience with cloud cost management tools and data sources (e.g. AWS Cost Explorer, CUR, GCP Billing and BigQuery export, Azure Cost Management) and/or third-party FinOps platforms (e.g. Apptio Cloudability, CloudHealth).
- Bachelor's degree in data science, statistics, computer science, information technology, finance, economics or a related quantitative field, or equivalent professional experience. - Strong SQL and data modelling skills, with hands-on experience querying large, granular billing datasets (e.g. Athena, BigQuery, Redshift, Snowflake). - Proven experience building BI dashboards and visualisations (e.g. QuickSight, Looker, Power BI, Tableau, Domo) for both engineering and executive audiences.
Responsibilities - Collect, process and model cloud, AI and SaaS cost and usage data — AWS Cost and Usage Reports, GCP BigQuery billing exports and vendor APIs — into trusted, query-ready datasets. - Build and maintain dashboards and visualisations in QuickSight that give engineering teams, Finance and senior leaders a single source of truth for cloud spending, cost trends, forecasts, optimisation opportunities and financial performance.
- Proficiency in Python (or R) for data analysis, statistical modelling, recurring reporting automation and data collection scripting (e.g. Bash). - Hands-on experience with cloud cost management tools and data sources (e.g. AWS Cost Explorer, CUR, GCP Billing and BigQuery export, Azure Cost Management) and/or third-party FinOps platforms (e.g. Apptio Cloudability, CloudHealth). - Practical experience with forecasting, trend analysis and anomaly detection, with the judgement to know when a simple model beats a complex one.
- Rigour about data quality — reconciliation across sources, documented definitions, and healthy scepticism about your own numbers. - AWS, GCP or FinOps certifications. - Familiarity with agile methodologies and version-controlled analytics workflows (e.g. Git, dbt, CI for data pipelines).
- AWS, GCP or FinOps certifications. - Familiarity with agile methodologies and version-controlled analytics workflows (e.g. Git, dbt, CI for data pipelines). - Strong analytical, communication and collaboration skills, with the ability to interpret complex data, identify optimisation opportunities, and work effectively across cross-functional teams.
- Experience applying data science to operational or financial data — regression, time-series forecasting (e.g. ARIMA, Prophet), clustering, and outlier or changepoint detection. - Experience building or maintaining data pipelines and transformation layers (e.g. dbt, Dataflow, Glue, Airflow, Composer). - Experience modelling unit economics or cost-per-transaction in a product, platform or marketplace business.
- Strong SQL and data modelling skills, with hands-on experience querying large, granular billing datasets (e.g. Athena, BigQuery, Redshift, Snowflake). - Proven experience building BI dashboards and visualisations (e.g. QuickSight, Looker, Power BI, Tableau, Domo) for both engineering and executive audiences. - Proficiency in Python (or R) for data analysis, statistical modelling, recurring reporting automation and data collection scripting (e.g. Bash).

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Job description

View original posting ↗

Job Description

The team

The Cloud Enablement team’s role is to provide a stable, secure and optimised cloud for all SEEKers, enabling engineering teams to use cloud technology by providing services and prescriptive guidance that promotes agile, autonomous delivery and supports business transformation. The team is split into FinOps and Engineering squads, with this role sitting within the FinOps squad.

About the role

As a FinOps Data Analyst at SEEK, you will turn complex cloud, AI and SaaS cost data into intelligence that engineering teams, Finance and senior leaders can act on. This is a hands-on analytical role sitting at the intersection of data science, business intelligence and cloud financial management. You will own the datasets, the models, and the dashboards that make SEEK's technology spend visible, explainable and forecastable.

Responsibilities

  • Collect, process and model cloud, AI and SaaS cost and usage data — AWS Cost and Usage Reports, GCP BigQuery billing exports and vendor APIs — into trusted, query-ready datasets.
  • Build and maintain dashboards and visualisations in QuickSight that give engineering teams, Finance and senior leaders a single source of truth for cloud spending, cost trends, forecasts, optimisation opportunities and financial performance.
  • Apply statistical and machine learning techniques to cost anomaly detection, seasonality and trend analysis, with a focus on signal over noise across a multi-account, multi-cloud estate.
  • Model unit economics — cost per customer, per placement, per API call, per inference — so teams can see efficiency and business value, not just raw spend.
  • Extend FinOps reporting into AI and ML workloads, tracking token consumption, inference cost, GPU utilisation and API spend, while alerting on runaway usage.
  • Leverage AI tooling and agentic workflows to automate insight generation and narrative reporting, with verification and human review built in.
  • Collaborate with Engineering, Operations, Finance and other stakeholders to align cloud resource usage with business objectives and budgets, and to support cost-efficient decisions early in the development life-cycle.

Qualifications

Essential skills and experience

  • Bachelor's degree in data science, statistics, computer science, information technology, finance, economics or a related quantitative field, or equivalent professional experience.
  • Strong SQL and data modelling skills, with hands-on experience querying large, granular billing datasets (e.g. Athena, BigQuery, Redshift, Snowflake).
  • Proven experience building BI dashboards and visualisations (e.g. QuickSight, Looker, Power BI, Tableau, Domo) for both engineering and executive audiences.
  • Proficiency in Python (or R) for data analysis, statistical modelling, recurring reporting automation and data collection scripting (e.g. Bash).
  • Hands-on experience with cloud cost management tools and data sources (e.g. AWS Cost Explorer, CUR, GCP Billing and BigQuery export, Azure Cost Management) and/or third-party FinOps platforms (e.g. Apptio Cloudability, CloudHealth).
  • Practical experience with forecasting, trend analysis and anomaly detection, with the judgement to know when a simple model beats a complex one.
  • Rigour about data quality — reconciliation across sources, documented definitions, and healthy scepticism about your own numbers.
  • AWS, GCP or FinOps certifications.
  • Familiarity with agile methodologies and version-controlled analytics workflows (e.g. Git, dbt, CI for data pipelines).
  • Strong analytical, communication and collaboration skills, with the ability to interpret complex data, identify optimisation opportunities, and work effectively across cross-functional teams.

Other skills and experience

  • Experience applying FinOps to AI workloads and using AI to support FinOps.
  • Experience managing AI/ML inference costs, API consumption, and token-based pricing across AI services; tracking cost per token, cost per inference and GPU utilisation; and experience with agentic AI solutions to provide automated insights at scale.
  • Experience applying data science to operational or financial data — regression, time-series forecasting (e.g. ARIMA, Prophet), clustering, and outlier or changepoint detection.
  • Experience building or maintaining data pipelines and transformation layers (e.g. dbt, Dataflow, Glue, Airflow, Composer).
  • Experience modelling unit economics or cost-per-transaction in a product, platform or marketplace business.

Additional Information

Perks and benefits

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
  • The opportunity to work from anywhere for up to 4 weeks per financial year
  • 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.

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.

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Location & working pattern

Cremorne, Victoria, Australia

Working pattern and location restrictions need checking in the full posting.

Work authorization
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.

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