In-Demand Data engineering lead (ai, analytics & platform) Jobs in Parramatta, Nsw

Marketing Analytics Lead
UpGuard —Sydney NSW
- $1,500 a year
- Full-time
- Remote
- Salesforce
- AI
- Leadership
- Annual leave
- Parental leave
Manager, Forward Deployed Engineering
Databricks —Sydney NSW
- AI
- Leadership
7d
SAP Analytics Lead
Capgemini —Sydney NSW
- Hybrid work
- Azure
- AI
- Leadership
Executive Engineering Manager
Commonwealth Bank —Sydney NSW
- Full-time
- Hybrid work
- AI
- Communication skills
- Work from home
10d
Analytics Engineer
UpGuard —Sydney NSW
- $1,500 a month
- Full-time
- Remote
- CRM software
- Salesforce
- SQL
- Annual leave
- Parental leave
Sales Executive – Public Cloud, Data & AI Solutions - AU
Rackspace —Sydney NSW
- Full-time
- Microsoft Access
- Azure
- Management
Building Services Customer Success Manager
CIM Operations Pty Ltd —Sydney NSW
- $130,000 - $150,000 a year
- Full-time
- Customer service
- Analysis skills
- HVAC
- Employee stock purchase plan
- Work from home
Quick Apply
9d
Lead Data Consultant
DiUS —Sydney NSW
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick Apply
Manager, Field Engineering
Databricks —Sydney NSW
- Sales
- AI
14d
Technical Program Manager (Tech Saas) - ML / AI
Nearmap —Barangaroo NSW
- Full-time
- Hybrid work
- AWS
- Analysis skills
- Software development
- Annual leave
- Parental leave
Quick Apply
Executive Director, AI & Quant Analytics
Westpac —Sydney NSW
- Full-time
- Azure
- Master's degree
- SQL
10d
Engineering Lead, Salesforce
Athena Mortgage —Sydney NSW
- Full-time
- Management
- Salesforce
- Bachelor's degree
Solution Designer
Duxxel Pty Ltd —Sydney NSW
- $87,648.99 - $165,376.48 a year
- Contract
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick Apply
Product Owner - Artificial Intelligence
Commonwealth Bank —Sydney NSW
- Full-time
- Master's degree
- Agile
- AI
21h
Sr. Forward Deployed Engineer
Databricks —Sydney NSW
- AI
8d
Data Solution Architect
Boral —Sydney NSW
- Full-time
- Azure
- AI
- Parental leave
Senior Product Manager , Data Products
HUB24 —Sydney NSW
- Full-time
- Management
- Product management
- AI
Customer Engineer Associate, Platform, Google Cloud
Google —Sydney NSW
- Full-time
- Sales
- Systems design
- Presentation skills
Staff Data Scientist
Mutinex —Chippendale NSW
- Hybrid work
- Doctoral degree
- Writing skills
- Engineering
Quick Apply
Executive Manager - AI Tech Risk
Commonwealth Bank —Sydney NSW
- Full-time
- AI
1d

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data engineering lead (ai, analytics & platform) jobs near parramatta, nsw

Marketing Analytics Lead

UpGuard -
Sydney NSW

Apply Now

Job Details

Full-time
$1,500 a year

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

data engineering lead (ai, analytics & platform) jobs in parramatta, nsw

Marketing Analytics Lead

Manager, Forward Deployed Engineering

SAP Analytics Lead

Executive Engineering Manager

Analytics Engineer

Sales Executive – Public Cloud, Data & AI Solutions - AU

Building Services Customer Success Manager

Lead Data Consultant

Manager, Field Engineering

Technical Program Manager (Tech Saas) - ML / AI

Executive Director, AI & Quant Analytics

Engineering Lead, Salesforce

Solution Designer

Product Owner - Artificial Intelligence

Sr. Forward Deployed Engineer

Data Solution Architect

Senior Product Manager , Data Products

Customer Engineer Associate, Platform, Google Cloud

Staff Data Scientist

Executive Manager - AI Tech Risk

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