In-Demand Manager, data analytics Jobs in Epping, Nsw

Data Engineer
Vapar —Sydney NSW
- $120,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Data analysis skills
- Travel reimbursement
- Employee stock purchase plan
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
14d
Digital Data Engineering Lead
Greenstone Financial Services —Norwest NSW
- Full-time
- SQL
- APIs
- Financial services
- Travel reimbursement
- Free food
Quick Apply
Director - Data & Analytics
Ashurst LLP —Sydney NSW
- AI
- Analytics
- Health insurance
- On-the-job training
Office Manager
MeToU Care —Eastwood NSW
- $80,000 - $90,000 a year
- Full-time
- Microsoft Office
- Administrative experience
- In-person
- Professional development assistance
Quick Apply
Data Solutions Analyst
IRI Worldwide (Australia) —Blenheim Road NSW
- Hybrid work
- Microsoft Word
- Microsoft Excel
- Microsoft Access
Quick Apply
3d
Manager | Data & Analytics
Deloitte —Sydney NSW
- Business development
- Presentation skills
- Analytics
- Parental leave
5d
Senior Data Analytics /BI Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Analytics
- Annual leave
- Work from home
Head of Change & Transformation
VGW Australia —Sydney NSW
- Agile
Quick Apply
Data Analytics Manager
MinterEllison —Sydney NSW
- Contract
- Azure
- SQL
- AWS
Head of Governance
Journey Early Learning Careers —Macquarie Park NSW
- $180,000 - $190,000 a year
- Part-time
14d
Data Analyst
GPro Office Business Solutions Pty Ltd —Sydney NSW
- $71,241.02 - $125,522.13 a year
- Full-time
- Microsoft Excel
- Data analysis skills
- Analysis skills
- Health insurance
- Dental insurance
Quick Apply
4d
Manager/Senior Manager, Data Analytics
Grant Thornton Australia —Sydney NSW
- Full-time
- Azure
- DevOps
- SQL
- Health insurance
- Parental leave
11d
Data Analytics Manager - Financial Crime Intelligence
Westpac Group —Sydney NSW
- Full-time
- Hybrid work
- Microsoft Office
- SQL
- AI
3d
Data Processing Analyst
IRI Worldwide (Australia) —Blenheim Road NSW
- Hybrid work
- Microsoft Excel
- Research
- Databases
- Annual leave
- Parental leave
Quick Apply
5d
Data Engineer
CYOS Solutions —Sydney NSW
- $100 - $120 an hour
- Contract
- Hybrid work
- Azure
- Computer Science
- SQL
Quick Apply
3d
Advisory AI Data Specialist
Dell Technologies —Chatswood NSW
- Full-time
- Remote
- Computer Science
- Bachelor's degree
- AI
8d
Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Data Solutions Analyst
Circana —Blenheim Road NSW
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Access
3d
Performance, Data Analytics & Media Manager
Teachers Health —Sydney NSW
- Full-time
- Hybrid work
- Marketing
- Analysis skills
- Financial services
- Health insurance
2d

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manager, data analytics jobs near epping, nsw

Data Engineer

Vapar
Sydney NSW

Quick Apply

Job Details

Permanent | Full-time
$120,000 - $150,000 a year

Benefits

Travel reimbursement
Employee stock purchase plan
Work from home
Parental leave
Referral program

Qualifications

Azure
Computer Science
Software Engineering
Data analysis skills
Databases
SQL
AWS
Bachelor's degree
Machine learning
Deep learning
Software development
Communication skills
Construction inspection

Full Job Description

Location - Australian based (Remote) with working rights
Reports To - Senior Data Science Engineer, VAPAR

About VAPAR

VAPAR is deep-tech company accelerating asset health improvements on wastewater and drainage networks. By leveraging AI and automation, we empower clients to rapidly find and fix problematic underground assets before they fail. Our solutions are used to drive efficiencies by leading UK water companies, as well as utilities in the US, Australia and New Zealand. Last year alone, VAPAR's AI technology has powered asset health investments on over 2 million metres of pipe in United Kingdom, United States, Australia and New Zealand and continues to scale globally through partnerships with Autodesk and Microsoft.

We turn visual data about every-day pipes directly into condition scores so maintenance and repairs happen faster, cheaper and more accurately.

About the role

We're looking for someone mid to senior level who is comfortable taking ownership of their role. In this role, you'll be working within our tech team on our automation technology, creating high performance models and generating insights. As the team grows, you'll have the opportunity to grow with a great team, and we'll support you with the required training to do so. We want you to become a pillar of the team and have a big impact on what we're building at VAPAR.

As a Data Engineer at VAPAR, you'll actively contribute to the development of AI-powered solutions that tackle the complex problems associated with pipe and sewer maintenance. Our company culture thrives on innovation, teamwork, respect and a relentless pursuit of excellence. While enjoying the flexibility of a fully remote position within Australia, you'll collaborate with a diverse team of professionals who share your enthusiasm for cutting-edge technology and its potential to shape a better future for infrastructure management.

Day in the life

We are seeking an experienced and motivated Data Scientist with a minimum of 3 years of experience to join our development team. The ideal candidate should be well-versed in software development principles, possess a strong foundation in Python programming, and demonstrate a proven track record in data engineering and model development. In addition to these skills, the right candidate should have a good understanding of deep learning frameworks and be well versed in libraries such as PyTorch and Tensorflow (ideally 1-2 years hands on). As a Data Scientist at VAPAR, you'll collaborate with the team to deliver high-quality software solutions that meet customer needs and drive company success.

In this role, you'll…

Develop, test, and maintain model training, testing and inferencing code following industry best practices and coding standards.
Conduct exploratory data analysis to identify trends, patterns, and insights.
Extract, transform, and load data from various sources, and use SQL queries to extract insights from the data
Collaborate with product managers and other engineers to bring together data from different sources for the purpose of data analytics and model monitoring.
Apply your expertise with Azure to develop against cloud-based services.
Participate in code reviews to ensure code quality, performance, and adherence to coding standards.
Identify and troubleshoot performance issues and provide timely solutions to uphold product integrity.
Contribute to the architecture, design, and implementation of enhancements.
Create and maintain technical documentation, including specifications, design documents, and user guides.
Stay updated with emerging technologies and trends in data science to drive continuous improvement.

Must-have skills

On day one we'll expect you to have…
Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field (or equivalent work experience).
2+ years of professional experience in Python software development and its libraries, especially in the context of data analysis and machine learning.
SQL skills: You should be comfortable working with SQL to extract and manipulate data from databases.
ETL experience: You should have some level of experience working with ETL (Extract, Transform, Load) processes and tools to manage data from different sources.
Model monitoring experience: You should have experience monitoring the performance of machine learning models, identifying and resolving issues, and implementing solutions to ensure model accuracy.
Product performance measurement: You should have some level of experience or knowledge in measuring and analyzing product performance metrics, including developing and maintaining internal dashboards and data visualization tools.
Solid understanding of software development principles, algorithms, and data structures.
Familiarity with industry standard software development methodologies, such as Agile or Scrum.
Ability to analyse and solve complex technical problems and work independently in a remote setting.
Excellent communication skills, both written and verbal.
Experience with Azure and/or AWS cloud-based offerings.

Selling points

Flexible working hours with ability to work remotely
Work with a driven, fun and switched on team that likes to raise the bar in all that we do.
Genuine career growth opportunities as we continue to expand!

More about VAPAR

Website: CCTV Pipe Inspection Software Powered with AI - https://vapar.co/

LinkedIn: https://www.linkedin.com/company/vapar

VAPAR was founded by Amanda Siqueira and Michelle Aguilar in 2018. As a Civil Engineer, Amanda had seen enough of the inefficiencies in the pipe condition assessment process, and teamed up with Michelle (a Mechatronic Engineer with Intelligent Systems experience) to build technology to enable pipe asset managers to revolutionise their way of working. Since then, the VAPAR team has grown and now has clients in Australia, the UK and New Zealand and continues to scale.

Pay: $120,000.00 – $150,000.00 per year

Benefits:

Employee stock purchase plan
Parental leave
Referral program
Travel reimbursement
Work from home

Application Question(s):

Are you located in Australia?

Experience:

Data Engineering: 2 years (Required)
SQL: 1 year (Preferred)
Python: 2 years (Required)

Work Authorisation:

Australia (Required)

Work Location: Hybrid remote in Sydney NSW

Quick Apply

Refine Your Search

manager, data analytics jobs in epping, nsw

Data Engineer

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

Digital Data Engineering Lead

Director - Data & Analytics

Office Manager

Data Solutions Analyst

Manager | Data & Analytics

Senior Data Analytics /BI Lead

Head of Change & Transformation

Data Analytics Manager

Head of Governance

Data Analyst

Manager/Senior Manager, Data Analytics

Data Analytics Manager - Financial Crime Intelligence

Data Processing Analyst

Data Engineer

Advisory AI Data Specialist

Consultant - Data & Analytics (Open)

Data Solutions Analyst

Performance, Data Analytics & Media Manager

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