In-Demand Learning engineer / data scientist Jobs in Sydney, Nsw

Marketing Analytics Lead
UpGuard —Sydney NSW
- $1,500 a year
- Full-time
- Remote
- Salesforce
- AI
- Leadership
- Annual leave
- Parental leave
13d
Machine Learning Engineering Manager
icare —Sydney NSW
- Full-time
- DevOps
- Master's degree
- AWS
- Employee assistance program
- Gym membership
Senior Engineering Geologist / Geotechnical Engineer I NSW
AECOM —Sydney NSW
- Full-time
- Hybrid work
- Bachelor's degree
- Civil Engineering
- Communication skills
Data Centre - Mechanical Engineer, Associate Director
AECOM —Sydney NSW
- Full-time
- Hybrid work
- Leadership
AI Software Engineer (Full Stack) | Senior Associate | Digital Solutions
PWC Australia —Sydney NSW
- Azure
- Management
- Master's degree
- Annual leave
10d
Lead Software Engineer - AI Enablement
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Agile
- AI
- SDLC
- Annual leave
- Work from home
Lead AI Engineer - DDAI
Westpac —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- Scripting
Marketing Science Partner
Mutinex —Chippendale NSW
- Hybrid work
- Analytics
- Annual leave
- Work from home
Quick Apply
Data & Analytics Management Consultant (Senior Consultants/Engagement Manager)
Ember Advisors —Sydney NSW
- Full-time
- Hybrid work
- Microsoft Excel
- Data analysis skills
- Analysis skills
Quick Apply
3d
Software Engineer, DevOps
h2o.ai —Sydney NSW
- Full-time
- Azure
- Computer Science
- DevOps
Quick Apply
Water Servicing Coordinator (Engineer)
Stantec —St Leonards NSW
- Part-time
- Microsoft Word
- AutoCAD
- Microsoft Excel
- Employee assistance program
Chief Engineer
Commonwealth Bank —Sydney NSW
- Full-time
- AWS
- Machine learning
- Scripting
3d
Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Senior Data Platform Engineer
ASC Employment Services Pty Ltd —Sydney NSW
- Full-time
- Azure
- SQL
- AWS
- Parental leave
- Employee assistance program
Quick Apply
Staff Backend Solution Architect Engineer
Heidi —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AWS
- APIs
Senior Software Engineer (Big Data, Search)
Binance —Sydney NSW
- Full-time
- Remote
- Systems design
- Master's degree
- AI
Quick Apply
Senior Water Servicing Coordinator (Engineer)
Stantec —St Leonards NSW
- Part-time
- Microsoft Word
- AutoCAD
- Microsoft Excel
- Employee assistance program
Senior Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Data Centre - Electrical Engineering, Associate Director
AECOM —Sydney NSW
- Full-time
- Hybrid work
- Leadership
Senior Software Engineer, Internal Applications (AI Agent)
Binance —Sydney NSW
- Full-time
- Remote
- Databases
- AI
Quick Apply

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learning engineer / data scientist jobs near sydney, nsw

Marketing Analytics Lead

UpGuard -
Sydney NSW

Apply Now

Job Details

Full-time
$1,500 a year
13 days ago

Benefits

Visa sponsorship
Subscriptions
Annual leave
Parental leave

Qualifications

Looker
Data modelling
Salesforce
HubSpot
Google Ads
SaaS
AI
Leadership
Financial acumen
Communication skills
Marketing
Analytics

Full Job Description

Who are we?

At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk.

We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface.

We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale.

Our Analytics team at UpGuard supports all of our teams to extract key insights from the data that we collect. We extract data from multiple sources and build insightful dashboards that display key metrics and support leaders in decision-making. We also build integrations between systems to collect required data seamlessly.

Where does this role fit in?
As UpGuard continues its rapid growth trajectory, we are seeking an experienced data analyst to support our Marketing team. Reporting to the Director of Analytics, this critical role is responsible for driving significant business value by quantifying marketing performance, illuminating the contribution of every channel and program, and translating ambiguous marketing questions into durable data models and insights. The analyst will partner closely with Demand Generation, Partner Marketing, Field Marketing, Product Marketing, and Brand to help the Marketing team understand what's working, where to invest the next dollar, and how pipeline is being built across the full funnel.

What will you do?

Actionable Insight: Generate compelling and actionable insights from complex, multi-source marketing data sets that directly inform channel investment, campaign design, and pipeline strategy.
Stakeholder engagement: Establish strong collaborative relationships with marketing leaders and operators across demand gen, partner, field, product marketing, and brand, delivering high-impact analytics initiatives that translate loose, evolving requirements into clear deliverables.
Attribution & Measurement: Design, build, and maintain the attribution framework for UpGuard – spanning first and multi-touch attribution and incrementality testing – and clearly communicate the trade-offs and assumptions behind each lens.
Channel & Program Analytics: Develop a deep, first-principles understanding of channel logic across paid media, organic, content, lifecycle, partner, and field, and build the metrics, models, and dashboards that let each program owner self-serve their performance.
Data Products: Partner with the data engineering team to design, construct, and maintain foundational marketing data assets – translating loose marketing requirements into well-specified dbt models that the whole organisation can rely on.
Business Intelligence: Partner strategically with marketing stakeholders to provide robust self-service and conversational analytics capabilities, using design thinking principles to build user-friendly dashboards for funnel performance, channel ROI, partner sourced pipeline, and field event attribution.
Deep Dive analysis: Personally conduct thorough, hands-on, technical analysis to diagnose and solve the most significant marketing challenges – from channel saturation and diminishing returns to lead quality decay and campaign cannibalisation.
Commercial Analysis: Provide ongoing operational support to the commercial growth of the organisation, connecting marketing investment to pipeline, ARR, and payback in ways that finance and the executive team trust.

What will you bring?

Proven Leadership: 4+ years delivering analytics solutions for Marketing teams within a high-growth SaaS company.
Marketing Domain Expertise: Strong working knowledge of channel logic across paid, organic, lifecycle, partner, and field marketing – including how each channel is planned, instrumented, and measured – and fluency in attribution methodologies (multi-touch, incrementality, and marketing mix modelling).
Partner & Field Marketing Fluency: Understanding of how partner-sourced and partner-influenced pipeline is tracked, and how field marketing programs (events, conferences) are measured against pipeline and revenue outcomes.
Requirements Translation: A demonstrated ability to take loose, ambiguous, or evolving marketing requirements and translate them into well-structured dbt models, clear metric definitions, and insights stakeholders can act on.
Consulting Background: Experience in a consulting role, successfully managing a diverse portfolio of projects across various companies and stakeholder groups.
Data Infrastructure Expertise: Strong understanding of modern data infrastructure (e.g., cloud data warehouses like BigQuery; ETL/ELT tools; dbt model development; modern data visualisation tools like ThoughtSpot, OMNI, Looker).
Exceptional Business Acumen: Ability to quickly understand complex business problems, identify key performance indicators, and translate data into strategic insights that drive tangible business value.
Communication & Influence: Excellent communication (verbal and written) skills, with the ability to articulate complex analytical concepts – including attribution and MMM trade-offs – to both technical and non-technical audiences and influence decision-making.
Strategic & Analytical Thinking: Highly analytical and strategic mindset, with a proven track record of developing and executing data strategies that align with marketing and business objectives.
Data Development: Directly engage in the creation of fundamental data and Business Intelligence (BI) infrastructure and assets, including hands-on dbt model authorship.

What will give you an edge?

Data Science / AI Engineering: Proven experience as a data scientist or AI engineer, ideally within a SaaS company environment, with exposure to uplift or lead score prediction modelling, or causal inference techniques.
Marketing Tech Stack: Hands-on experience with marketing source systems such as HubSpot, Salesforce, paid media platforms (Google Ads, LinkedIn, Meta), and lifecycle tools, and an understanding of how their data shapes downstream analytics.
Financial Acumen: Experience connecting marketing analytics to FP&A processes – budget planning, payback modelling, CAC/LTV reporting, and board-level marketing narratives.

What's in it for you?

Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
$1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries.
18 weeks paid Parental Leave: Irrespective of parenting role
Personal Leave Allowance: This includes sick & carer’s leave
Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
Top-spec hardware: All team members will be provided with top-spec laptops for their role
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work

#LI-SR1

UpGuard is a Certified Great Place to Work® in the US, Australia, UK and India, establishing its position as a leading global technology employer. 99% of team members agree that UpGuard is a great place to work, apply now to find out why!

As an Equal Employment Opportunity and Affirmative Action Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

For applications to positions in the United States, please note, at this time we can only support hiring in the following US states: CA, MD, MA, IL, OR, WA, CO, TX, FL, PA, LA, MO, or DC.

Before starting work with us, you will need to undertake a national police history check and reference checks. Also please note that at this time, we cannot support candidates requiring visa sponsorship or relocation.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

Refine Your Search

learning engineer / data scientist jobs in sydney, nsw

Marketing Analytics Lead

Machine Learning Engineering Manager

Senior Engineering Geologist / Geotechnical Engineer I NSW

Data Centre - Mechanical Engineer, Associate Director

AI Software Engineer (Full Stack) | Senior Associate | Digital Solutions

Lead Software Engineer - AI Enablement

Lead AI Engineer - DDAI

Marketing Science Partner

Data & Analytics Management Consultant (Senior Consultants/Engagement Manager)

Software Engineer, DevOps

Water Servicing Coordinator (Engineer)

Chief Engineer

Consultant - Data & Analytics (Open)

Senior Data Platform Engineer

Staff Backend Solution Architect Engineer

Senior Software Engineer (Big Data, Search)

Senior Water Servicing Coordinator (Engineer)

Senior Consultant - Data & Analytics (Open)

Data Centre - Electrical Engineering, Associate Director

Senior Software Engineer, Internal Applications (AI Agent)

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