Total 40,133 Others/Any job vacancies in tas regional launceston north east

Start your leadership journey with ALDI! From driving sales, to serving customers and supervising staff, our Duty Store Managers always lead from the front.

Your purpose is ensuring our store runs smoothly during your shift. You'll be supporting and guiding team members, handling customer inquiries and working collaboratively as part of the store management team. All the while, you'll be honing your leadership skills and truly making a difference for your team and our customers.

The specifics? Here's what you’ll be doing:

• Opening and closing the store and supervising shifts
• Offering feedback to the team that's clear, constructive, and inspiring
• Assisting in training and onboarding team members
• Being a customer service superstar and serving customers at the registers with a smile
• Keeping shelves stocked with products so that our customers can find all their favourites
• Keeping a keen lookout for any incidents or hazards to keep everyone safe

Start your leadership journey with ALDI! From driving sales, to serving customers and supervising staff, our Duty Store Managers always lead from the front.

Your purpose is ensuring our store runs smoothly during your shift. You'll be supporting and guiding team members, handling customer inquiries and working collaboratively as part of the store management team. All the while, you'll be honing your leadership skills and truly making a difference for your team and our customers.

The specifics? Here's what you’ll be doing:

• Opening and closing the store and supervising shifts
• Offering feedback to the team that's clear, constructive, and inspiring
• Assisting in training and onboarding team members
• Being a customer service superstar and serving customers at the registers with a smile
• Keeping shelves stocked with products so that our customers can find all their favourites
• Keeping a keen lookout for any incidents or hazards to keep everyone safe

Want to kick-start your career? Join our outstanding retail team as a Store Assistant at ALDI! No retail know-how needed. We're looking for people with a positive attitude, a strong work ethic, and a willingness to learn!

Our stores are open every day, including weekends and holidays – there's never a dull moment with plenty of variety. We do supermarkets a bit differently, you’ll get to experience all areas of the store rather than just be in one area, giving you lots of variety.

Store Assistants are the backbone of our retail stores and keep our stores running by:

• Being a customer service superstar and serving customers at the registers with a smile
• Keeping shelves stocked with products so that our customers can find all their favourites
• Being an expert in stock handling by making sure our products are in date and listed at the right price
• Creating eye-catching displays of our ALDI special buys
• Keeping the store tidy, organised and looking great

PRIMARY DETAIL

THE ROLE

The Lead Data Engineer will be working with the relevant project team to lead the development and optimisation of data and analytics architecture, as well as optimising data flow and collection to deliver integrated and quality business information and reporting solutions. 

Reporting to the Head - Data Solutions, key responsibilities for this role include:

• Develop, test, and maintain data and analytics architecture, including databases and large-scale processing systems, for optimal extraction, transformation and upload of data from multiple sources and different technologies. 

• Work with the stakeholders to support their data infrastructure requirements and assist with resolving technical issues.  

• Provide Technical leadership of the implementation of data and/or integration solutions for complex enterprise systems within complex multistakeholder and formalised project delivery environments.

• Deploy models into production using CI/CD pipelines.  

• Reverse and forward engineer data assets.  

• Build data acquisition, ingestion pipeline, and data lake capability. 

• Recommend improvements to data reliability, efficiency, and quality, and provide high quality data assets for enterprise use. 

• Identify, design, and implement process improvement to automate processes, optimise data delivery, and achieve infrastructure efficiency and scalability.  

• Collate, process, transform, and model raw data from multiple sources, and utilise different data sourcing, integration, and modelling techniques.  

• Pilot, demonstrate and evaluate useability of new technologies and systems, 

• Design and update user guides, technical specifications and Process flow documents for all applications and tools.  

• Creation and maintenance of artefacts relating to data models (e.g. DDLs, mapping of data, DMLs, Data Dictionaries, Change Registers etc.) 

• Assisting in the development and continuous improvement of data modelling and principles, processes, and standards 

• Assisting in the implementation of data asset standards, and in the implementation of related data asset governance processes 

About Us

The Vice-President Strategy, Planning and Performance (VPSPP) holds executive responsibility for the development and execution of university strategy, cross-institutional planning, and oversight of whole of University Group performance.
 

The VPSPP supports the Vice-Chancellor, Executive Group and University Council in ensuring the long-term sustainability and strategic direction of the University and its group subsidiaries.
 

Specific accountabilities include:

•            Whole of institution strategy

•            Effective decision making and transformational change

•            Planning, performance, continuous improvement, and strategic focus

•            Performance metrics and reporting frameworks

•            Organisation progress and performance
 

Business Intelligence and Reporting is responsible for enabling evidence-based decision-making across the University.

There are significant investments being made in developing strategic data assets for the University and its entities, and a critical component of all this work is the definition of the strategic data model (Enterprise Data Model) that describes the data assets required to meet business analytical requirements and this will be used as the basis for all the data engineering work to then build the data assets.

The Lead Data Modeller (Analytics) will lead this work, who will have overall ownership for the definition and development of the strategic Enterprise Data Model as well as oversee all project data modelling activity to ensure alignment with the overall data strategy.

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Celebrating its 60th year in 2024, it was established as a bold experiment in higher education and designed to break from educational traditions to work in tandem with industry. Institutionally we strive for the extraordinary by challenging convention and embracing different views.

Our pioneering culture has encouraged and inspired students, staff and collaborators to break free from conventional thinking, and to actively shape the complex issues that define the future of humanity.

We rank amongst the top employers in the Australian Workplace Employers Index, having recently earned a five-star rating in the QS World Rankings with the highest rating for employability. Take a look at the staff benefits on offer.

To Apply
To be considered for this position, please apply online and attach your resume and a separate cover letter that outlines how you meet the selection criteria below:
 

Selection Criteria

• Tertiary qualifications in Data and Analytics, Data Science, Business or Statistics or equivalent knowledge, skills and experience.

• Advanced Knowledge and experience in Snowflake. 

• Highly developed skills to write, test and validate data transformation and ETL routines within DBT, Apache Airflow, Python, Alteryx.

• Data Vault 2 data model implementation experience.

• Dimensional data model implementation experience.

• Demonstrated knowledge of database tools and SQL skills for navigating and troubleshooting these data processes in these platforms. 

• Experience with database, data pipeline and workflow management tools: Snowflake, JIRA, Wiki, DBT Airflow, Python etc. 

• Experience in pipeline scalability, through services such as Kubernetes.

• Experience working in a collaborative environment.

• Experience with database, data pipeline and workflow management tools: Snowflake, JIRA, Wiki, DBT Airflow, etc. 

• Experience in providing technical leadership of the implementation of data and/or integration solutions for complex enterprise systems within complex multistakeholder and formalised project delivery environments.

• Providing specialist data deployment support in the context of a mature IT service delivery organisation supporting both cloud and hybrid on premises application configurations.

• Experience with DBT.

• Highly developed analytical and problem-solving skills including the ability to analyse and interpret requirements and information from numerous sources.

• Time management and ability to balance competing demands to effectively prioritise tasks and achieve deadlines, on individual basis as well as for a team.

• Excellent verbal and written communication skills with the ability to build and maintain relationships with a wide range of stakeholders including the ability to influence senior management and executives.

• Presenting to a wide range of audiences with varying levels of data analytics capability.

Desired:  Experience working in an agile squad environment.

Other Specific Requirements: Criminal history check

Role Specific Enquiries: Chitrani Gunasekera, Head - Data Solutions, chitrani.gunasekera@mq.edu.au
General Enquiries: Bill Egarchos, HR Officer, bill.egarchos@mq.edu.au
Application Close Date: Wednesday, 3rd April 2024, 11:59pm

If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.

Applications Close:

Diversity and Inclusion

PRIMARY DETAIL

THE ROLE

The Lead Data Modeller will be working with the relevant project team to lead the development and implementation of conceptual, logical, and physical data models to support the creation of strategic analytical data assets and provide data modelling expertise and leadership.

Reporting to the Head - Data Solutions, key responsibilities for this role include:

• Define, develop, and implement the Enterprise Data Model (for assigned PMO Project) across Macquarie University and its entities, including defining, managing, and communicating the Enterprise Data Model roadmap. 

• Work with key stakeholders to understand business analytical requirements and lead the work to map them into logical and physical data models within relevant modelling tools as per the agreed standards.

• Create and maintain artefacts relating to data models (e.g., DDLs, mapping of data, DMLs, Data Dictionaries, Change Registers, etc.)

• Implement robust processes to govern the development and maintenance of the data models.

• Provide data modelling expertise and leadership to the engineering teams responsible for building the data assets and to the analytical teams using them to deliver insights, as well as proactively driving the resolution of any delivery issues relating to the Enterprise Data Model.

• Resolve production issues relating to Data Vault and Dimensional models and related conformed data layers.

• Responsible for proactively identifying data quality issues and managing these in collaboration with the BIR Team.

• Develop and continuously improve data modelling principles, processes, and standards, ensuring alignment with the broader MQ IT architectural principles, and delivery processes and standards and that documentation is properly managed including the maintenance of data catalogue.

• Work with the project and wider BIR team and MQ IT in the development and implementation of data asset standards and governance processes.

• Support the Project Team and BIR leadership in defining the overall data strategy.

• Build and maintain collaborative relationships with project team, stakeholders, executives and working groups.

• Comply with relevant EEO and WHS regulations.

• Perform any other duties as required and appropriate for this classification.

About Us

The Vice-President Strategy, Planning and Performance (VPSPP) holds executive responsibility for the development and execution of university strategy, cross-institutional planning, and oversight of whole of University Group performance.

The VPSPP supports the Vice-Chancellor, Executive Group and University Council in ensuring the long-term sustainability and strategic direction of the University and its group subsidiaries.

Specific accountabilities include:

•            Whole of institution strategy

•            Effective decision making and transformational change

•            Planning, performance, continuous improvement, and strategic focus

•            Performance metrics and reporting frameworks

•            Organisation progress and performance
 

Business Intelligence and Reporting is responsible for enabling evidence-based decision-making across the University.

There are significant investments being made in developing strategic data assets for the University and its entities, and a critical component of all this work is the definition of the strategic data model (Enterprise Data Model) that describes the data assets required to meet business analytical requirements and this will be used as the basis for all the data engineering work to then build the data assets.

The Lead Data Modeller (Analytics) will lead this work, who will have overall ownership for the definition and development of the strategic Enterprise Data Model as well as oversee all project data modelling activity to ensure alignment with the overall data strategy.

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Celebrating its 60th year in 2024, it was established as a bold experiment in higher education and designed to break from educational traditions to work in tandem with industry. Institutionally we strive for the extraordinary by challenging convention and embracing different views.

Our pioneering culture has encouraged and inspired students, staff and collaborators to break free from conventional thinking, and to actively shape the complex issues that define the future of humanity.

We rank amongst the top employers in the Australian Workplace Employers Index, having recently earned a five-star rating in the QS World Rankings with the highest rating for employability. Take a look at the staff benefits on offer.

To Apply
To be considered for this position, please apply online and attach your resume and a separate cover letter that outlines how you meet the selection criteria below:
 

Selection Criteria

• Tertiary qualifications in Data and Analytics, Data Science, Business or Statistics or equivalent knowledge, skills, and experience.

• Proficiency and experience with Erwin Data Modeller.

• Data Vault 2 data modelling and implementation experience.

• Dimensional data modelling and implementation experience.

• Demonstrated knowledge of database tools (Snowflake recommended) and SQL skills for navigating and troubleshooting these data processes in these platforms. 

• Knowledge of database, data pipeline and workflow management tools: Snowflake, JIRA, Wiki, DBT Airflow, etc

• Ability to rapidly understand business requirements and map them into logical and physical data models within relevant modelling tools.

• Experience working in a collaborative environment.

• Technical leadership of the implementation of data and/or integration solutions for complex enterprise systems within complex multistakeholder and formalised project delivery environments.

• Providing specialist data modelling support in the context of a mature IT service delivery organisation supporting both cloud and hybrid on premises application configurations.

• Highly developed analytical and problem-solving skills including the ability to analyse and interpret requirements and information from numerous sources.

• Time management and ability to balance competing demands to effectively prioritise tasks and achieve deadlines, on individual basis as well as for a team.

• Excellent verbal and written communication skills with the ability to build and maintain relationships with a wide range of stakeholders including the ability to influence senior management and executives.

• Presenting to a wide range of audiences with varying levels of data analytics capability.

• Working knowledge of the Higher Education or Education Data Model.

• Experience with DBT will be highly regarded.

Desired:  Experience working in an agile squad environment.

Other Specific Requirements: Criminal history check

Role Specific Enquiries: Chitrani Gunasekera, Head - Data Solutions, chitrani.gunasekera@mq.edu.au
General Enquiries: Bill Egarchos, HR Officer, bill.egarchos@mq.edu.au
Application Close Date: Wednesday, 3rd April 2024, 11:59pm

If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.

Applications Close:

Diversity and Inclusion

About Pinnacle College

Pinnacle College is a non-denominational, independent school (F-12) located in the northern suburbs of Adelaide. A distinctive feature of Pinnacle College is its diversity, it is a place where multicultural values and principles are actively supported and nurtured. Pinnacle College established its first campus at Gilles Plains in 2005, its second campus at Elizabeth East in 2010, and its third campus at Golden Grove in 2019.

About the Role

We are seeking applications from suitably qualified and experienced Learning Support Officers for a full time, fixed term contract position located at our Elizabeth East campus. This role will focus on support for secondary level students. The Learning Support Officer will work as an integral part of our Inclusive Education Department in a range of classroom and student support activities which contribute to the achievement of literacy and numeracy based outcomes of students in the school.

Responsibilities

• Provide classroom support to students with diverse learning needs.
• Work with classroom teachers to support the development of differentiated learning activities and assessments.
• Implement strategies and provide feedback to the Inclusive Education Coordinator and classroom teachers.
• Monitor student progress and adjust support strategies as necessary.
• Develop positive relationships with students, parents, and staff.
• Attend and participate in relevant professional development to maintain up-to-date knowledge and understanding of learning support practices.

Essential Criteria

• Certificate III or higher in Education Support or similar.
• Experience working with students who have additional learning needs.
• A passion for inspiring students to learn.
• Well-developed interpersonal skills and cultural sensitivity.
• Flexibility and an ability to work collaboratively.
• Ability to work with a variety of IT software platforms.
• A commitment to the mission, vision, and core values of the College.
• Working with Children Check.

Location: Elizabeth East
Employment Type: Fixed Term Contract, Full Time
Full Time Equivalent (FTE): 1.0
Base Salary Range: $56,095.75 - $70,973.76
Adjusted Salary Range: $47,762.04 - $60,429.73
Weeks of Paid Leave: 11
Hours of Work: 8:30am to 4:30pm, Monday to Friday
Contract Start Date: 29/04/2024
Contract End Date: 13/12/2024

9Creative are looking for a Promotion Production Assistant with strong attention to detail, experience in television production with the ability to manage conflicting deadlines in a fast paced environment. 

Working closely with the Head of Production, Producers and Departmental Managers you will be pivotal in ensuring the smooth running of the 9Creative production department including assisting in the preparation of scheduled production shoots.

Role responsibilities

• Management of the Media Asset System including ingest/import of material footage 
• Delivery and conversion of material footage within set timeframes 
• Data input and Management of the APRA music usage library
• Data entry in Nine’s Promotion Tracking Software (Phoenix)
• Sourcing and organising material for Sport, Entertainment and News promos 
• Distribution of approved promos to relevant stakeholders
• Liaising with internal departments for footage and information requests
• Preparation of promo shoots, live logging and runner duties 
• Strong communication skills with the ability to converse at all levels 
• Solutions focused with a can-do approach in a team environment
• Ability to work independently in a fast paced pressurised environment 
• Team player with a passion to learn new skills 
• Tech savvy with a strong understanding of television production producers
• Ad hoc project work

OB DESCRIPTION: To support the Ocean Import Manager in the running of the department within the branch by assisting the Ocean Import product growth in the market place through focus on Operations, Finance, Sales, People, Systems and Culture in adherence to the company's policies and procedures. Responsible of all aspects of the operational team, reporting to the Ocean Import Manager.

KEY RESPONSIBILITIES: 

• Oversee the day-to-day operations of the ocean import department, ensuring efficient and timely processing of inbound shipments.
• Assign tasks to import coordinators, monitor their workload, and provide guidance and support as needed. 
• Collaborate with account management and customer service teams to identify customer needs, address service issues, and explore opportunities for service improvement.
• Monitor key performance indicators, and implement corrective actions or process improvements as needed.
• Identify opportunities to streamline import processes, eliminate bottlenecks, and enhance operational efficiency through automation, or workflow optimisation.