13 Data Analytics Platforms jobs in Australia

Data Analytics Sales Specialist, Google Cloud
_corporate_fare_ Google _place_ Sydney NSW, Australia; Melbourne VIC, Australia
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
X
Applicants to this role must have work authorization in Australia. This role is not eligible for work visa sponsorship.
At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google's technology, platforms and people and we welcome Indigenous applicants. Please see ourReconciliation Action Plan ( for more information.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sydney NSW, Australia; Melbourne VIC, Australia** .
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 10 years of experience in promoting analytics, data warehousing, or data management software.
+ Experience with planning, pitching, and executing a territory business strategy.
+ Experience in working with sales engineers and customer technical leads to build business cases for transformation and plans for implementation.
**Preferred qualifications:**
+ Experience with market leading Business Intelligence (BI), data analytics middleware, or data warehouse technologies.
+ Knowledge of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, Extract, Transform, and Load (ETL) and data governance, predictive analytics, data science framework).
+ Knowledge of Google Cloud Data and Analytics (e.g., BigQuery, Looker, Pub/Sub).
+ Ability to engage with audiences through social channels and deliver messages.
+ Ability to collaborate with executive stakeholders as a business advisor and thought leader in data and analytics.
+ Excellent business acumen and investigative skills with using data to inform decisions and collaborate with stakeholders.
**About the job**
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
In this role, you will build an understanding of customer's businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with Account teams, Customer Engineering, and Partners to ensure customer results.
Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Calibrate business against the objectives and key results, report the state of the business for the assigned territory.
+ Build and maintain executive relationships with customers as the data analytics subject matter expert.
+ Develop and execute account plans including enterprise plans across key industries. Focus on building accounts.
+ Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, providing solution differentiation and business impact.
+ Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Data Analytics Sales Specialist, Google Cloud
_corporate_fare_ Google _place_ Sydney NSW, Australia; Melbourne VIC, Australia
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
X
Applicants to this role must have work authorization in Australia. This role is not eligible for work visa sponsorship.
At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google's technology, platforms and people and we welcome Indigenous applicants. Please see ourReconciliation Action Plan ( for more information.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sydney NSW, Australia; Melbourne VIC, Australia** .
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 10 years of experience in promoting analytics, data warehousing, or data management software.
+ Experience with planning, pitching, and executing a territory business strategy.
+ Experience in working with sales engineers and customer technical leads to build business cases for transformation and plans for implementation.
**Preferred qualifications:**
+ Experience with market leading Business Intelligence (BI), data analytics middleware, or data warehouse technologies.
+ Knowledge of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, Extract, Transform, and Load (ETL) and data governance, predictive analytics, data science framework).
+ Knowledge of Google Cloud Data and Analytics (e.g., BigQuery, Looker, Pub/Sub).
+ Ability to engage with audiences through social channels and deliver messages.
+ Ability to collaborate with executive stakeholders as a business advisor and thought leader in data and analytics.
+ Excellent business acumen and investigative skills with using data to inform decisions and collaborate with stakeholders.
**About the job**
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
In this role, you will build an understanding of customer's businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with Account teams, Customer Engineering, and Partners to ensure customer results.
Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Calibrate business against the objectives and key results, report the state of the business for the assigned territory.
+ Build and maintain executive relationships with customers as the data analytics subject matter expert.
+ Develop and execute account plans including enterprise plans across key industries. Focus on building accounts.
+ Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, providing solution differentiation and business impact.
+ Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Description
Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting engagements?
Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like leading teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?
AWS Professional Services Public Sector ANZ are hiring a highly technical senior cloud architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive business value from the latest Data Analytics and GenAI services. Our consultants will develop and deliver proof-of-concept projects, technical workshops and support complex projects. These professional services engagements will focus on customer solutions such as batch, real-time data capture and analysis, driving data driven decisions and desired customer outcomes.
Must hold or be able to attain an Australian Government Security Vetting Agency clearance (see job responsibilities
Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock.
Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings.
Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using AWS cloud services.
Insights: Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
Push the envelope: Artificial Intelligence is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services.
A day in the life
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- 10+ years of technical specialist, design and architecture experience
- 10+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 10+ years of consulting, design and implementation of serverless distributed solutions experience
- Australian citizen with ability to obtain security clearance.
Preferred Qualifications
- AWS Professional level certification
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.
We are looking for an experienced individual to join our team as a **Cloud and AI Solution Architect (CSA)** , specializing in **Azure Data, Analytics & AI** technologies to accelerate our customers' transformation on **Microsoft Azure** . This is a customer-facing role, owning the technical relationship between the customer and Microsoft, helping customers to leverage their Microsoft investments through architecture, and operational health engagements. You will help our customers architect and deploy first class cloud infrastructure solutions in Azure and to be AI Ready by applying scalable best practices in the cloud leveraging principles from the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF).
Azure is the most comprehensive, innovative, and flexible cloud platform today providing you with the technical platform and opportunity to work with Australia's largest and most important public sector and commercial companies to drive customer cloud adoption for AI innovation and influence transformational customer change.
This role is flexible in that you can work up to 50% from home.
**Responsibilities**
**Business Impact**
+ Operates with operational excellence and proven practices across all sales stages and tools (e.g., pipeline updates, time tracking).
+ Collaborates across Microsoft and customer/partner teams to achieve objectives and improve satisfaction.
+ Proactively manages business and technical risks, applying governance principles to minimise impact.
+ Executes work in compliance with industry and Microsoft guidelines.
+ Prioritises competing demands, ensuring alignment with business priorities and customer impact.
+ Delivers solutions using company methodologies (e.g., Value Based Deliveries (VBD), advice, training, technical validation).
+ Supports change management for long-term adoption and increased customer satisfaction.
+ Guides customers towards secure, resilient, AI-enabled, cost-optimised solutions.
+ Provides feedback to Unified Delivery Team to refine VBD content.
+ Identifies opportunities for consumption, usage, and expansion at scale based on business value.
+ Builds trust with customers/partners, advocating alternative architectures and solutions.
+ Evaluates industry trends and gathers insights to map solutions to business outcomes.
+ Captures opportunities in systems and collaborates to execute aligned with Microsoft's Customer Engagement Model.
+ Escalates and mitigates blockers to accelerate deployment and value realisation.
+ Applies business and technical knowledge to meet IT requirements and resolve constraints.
**Customer Centricity**
+ Acts as the voice of the customer, sharing insights and feedback with internal teams.
+ Identifies feedback patterns to develop strategic, actionable insights.
+ Influences product roadmaps and prioritisation through business cases.
+ Translates customer problems into industry solutions aligned with Microsoft strategy.
+ Helps customers adopt cross-solution area offerings aligned with Microsoft platforms.
+ Builds relationships with TDMs and bridges gaps with BDMs and C-level roles (CIO, CISO).
+ Focuses on seamless customer experience and defines conditions of success.
+ Anticipates dissatisfaction and executes strategies to improve experience and accelerate transformation.
**Partner Specialisation**
+ Identifies and prioritises opportunities aligned with revenue goals.
+ Supports partner and sales teams with clarity through proof of concept and technical pre-sales.
+ Understands market opportunities and collaborates with GPS stakeholders to execute initiatives.
+ Guides partners in developing repeatable offerings and advises during initial implementations.
**Technical Leadership**
+ Uses market insights to guide leadership on upskilling and accreditations.
+ Role models technical readiness and mentors team members.
+ Identifies gaps in delivery and connects patterns to drive improvements in products and processes.
+ Contributes to Microsoft frameworks and methodologies.
+ Provides thought leadership and innovation to customers and internal communities.
+ Leads virtual teams and shares insights across Microsoft.
+ Demonstrates industry knowledge and represents Microsoft in internal/external events.
+ Contributes to IP development and identifies patterns for scalable models.
+ Participates in technical and non-technical community events to elevate Microsoft's brand.
**Qualifications**
**Required / Minimum Qualifications**
+ Candidates with prior technical consulting experience in Databricks, Microsoft Fabric, Purview, or equivalent data warehousing technologies are highly preferred.
+ Bachelor's degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field **AND** 4+ years of experience in one or more of the following areas:
+ Cloud/infrastructure technologies
+ IT consulting or support
+ Systems administration
+ Network operations
+ Software development or support
+ Technology solutions
+ Practice development
+ Architecture
+ Consulting **OR** equivalent experience
**Preferred Qualifications**
+ Bachelor's degree in a relevant field **AND** 8+ years of experience in the areas listed above **OR** Master's degree in a relevant field **AND** 6+ years of experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting **OR** equivalent experience
+ 4+ years of experience in a customer-facing role (internal or external)
+ 4+ years of experience working on technical projects
+ Technical certification in cloud platforms (e.g., Microsoft Azure, AWS, Google Cloud) or security
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Description
Are you an AWS Data Analytics consultant with GenAI experience? Do you have real-time AWS Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake and Data Engineering experience? Do you have AWS GenAI experience?
Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like working on high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?
AWS Professional Services Public Sector ANZ are hiring a highly technical AWS Delivery Consultant specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive business value from the latest Data Analytics and GenAI services. Our consultants will develop and deliver proof-of-concept projects, technical workshops and support complex projects. These professional services engagements will focus on customer solutions such as batch, real-time data capture and analysis, driving data driven decisions and desired customer outcomes.
Must hold or be able to attain an Australian Government Security Vetting Agency clearance (see job responsibilities
Expertise: Collaborate with pre-sales, delivery teams, partners and customer teams to implement Data Analytics and GenAI solutions leveraging services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock.
Solutions: Deliver technical AWS Data Analytics and GenAI engagements with partners and customers. This includes understanding customer requirements and hands on AWS technical delivery.
Delivery: Data Analytics and GenAI engagements may form part of a larger migration and/or modernisation of existing data applications and development of new data applications using AWS cloud services.
Insights: Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
Push the envelope: Artificial Intelligence is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services.
A day in the life
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- Knowledge of a number of the following AWS Data Analytics and GenAI services: AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight, Amazon Bedrock, GenAI.
Preferred Qualifications
- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**How will you make an impact in this role?**
American Express is looking for a Data Analyst/Sr. Data Analyst, Business Insights and Analytics for the issuing business in Australia and New Zealand. This role will report to the Sr. Manager, Business Insights and Analytics for our International Card Services (ICS) business. This is a critical technical role that will help innovate and progress our analytics capabilities to support our growth plans while enhancing our focus on control and compliance.
This role will work in close partnership with multiple teams across our issuing business to understand & identify opportunities to leverage our data and systems to provide analytics and automated reporting to support strategic decision making and respond to an ever changing regulatory environment. The role is a technical role which will focus on coding, problem solving, putting together complex reports for the business, and working with stakeholders to make data driven decisions.
**Key Accountabilities:**
1. **Support Development of Strategic Plans and Initiatives:** Provide analytics support to Product, Acquisition, Loyalty, Partnership, and Marketing teams on the development of key strategic initiatives. This will include end to end analytics from writing code to pulling data, reviewing the data with manager, packaging data, deriving insights, and presenting to partners.
2. **Compliance and Operational Risk:** Create analytics to support American Express' response to a rapidly changing regulatory environment. Develop and automate reporting to assist with identification and remediation of operational risk events, compliance with regulation, and ensure all reporting documentation is complete and well maintained.
3. **Program Analytics:** Ongoing analysis of key product metrics, profitability levers, customer behaviours, and trends. Generate insights and analysis to support portfolio management.
4. **Management of Analytical Databases:** Production and upkeep of internal databases, run and refreshed on a regular basis. Investigate and problem solve if issues arise with existing processes.
**Requirements/Competencies:**
+ Strong technical background in analytics and stakeholder management.
+ Expertise in coding skills with emphasis on SQL, Python, and BigQuery.
+ Advanced Excel and PowerPoint skills.
+ Proficiency with data visualization tools such as Tableau or PowerBI.
+ Strong analytical and problem solving skills with the ability to turn data into insights.
+ High attention to detail & strong time management skills.
+ Ability to influence leaders/partners & strong communication skills.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** Australia-New South Wales-Sydney
**Schedule** Full-time
**Req ID:**

About Snowy:

Snowy Hydro is a dynamic, integrated energy business that has been providing on-demand, reliable energy to Australia for generations. Snowy Hydro owns and operates a powerful combination of generation assets, including the mighty Snowy Mountains Scheme, gas and diesel plants, and contracted wind and solar energy. We also provide electricity and gas to over 1.5 million retail customers through our retail brands Red Energy and Lumo Energy. Snowy 2.0 is Australia's largest committed renewable energy project. This nation-building project will provide on-demand energy and large-scale storage for many generations to come.

About the position:

The Workforce Transformation Data & Insights Analyst is a newly created position that is essential to Snowy’s future growth.

The role has been long-anticipated in the organisation, and there is a genuine desire for it. There is a significant amount of work to be done in this space, so the successful candidate will have a real ability to make a difference and enhance capability maturity for Snowy and its workforce.

Key Responsibilities:

• Applying advanced analytics and data science techniques to workforce transformation
• Benchmarking Snowy Hydro’s employee experience and workforce planning against industry standards and best practices
• Designing and maintenance of scalable, automated reporting and dashboards
• Presenting data to senior stakeholders to improve the employee experience
• Shaping a data-informed culture within the Workforce Transformation function by contributing to training and sharing of knowledge

About the location:

This role is based in Sydney.

About you:

• You come from a data-driven background
• You have strong communication skills, both in person and presenting to groups, with the ability to make data concepts understandable
• You’ll bring experience using automated tools and dashboards (Tableau, Power BI or similar)
• A tertiary qualification in Human Resources, Statistics, Data/Computer Science or a related field
• A demonstrated experience of modelling HR data from systems such as SAP Success Factors and familiarity with digital data sources such as survey tools (eg; Qualtrics)
• Strong analytical capabilities to identify trends and drive data-informed decisions.

About our workforce:

Snowy Hydro has a culture of decency and inclusion, with a commitment to the health and wellbeing of our people and a supportive environment to ensure that everyone - regardless of background - feels included and can succeed. At Snowy Hydro, we recognise that we are made stronger by the unique capabilities and qualities that each individual brings, and we believe in providing an environment that allows that uniqueness to thrive.

Snowy Hydro is proud to be an Equal Opportunity employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for a role with Snowy Hydro and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an email with your request to the Snowy Hydro recruitment team at

About our Team
LexisNexis Legal & Professional, a division of RELX, is a global leader in providing information-based analytics and decision tools for professional and business customers. With a presence in over 150 countries and a workforce of 11,300 employees worldwide, we are committed to delivering exceptional service and innovative solutions.
Our team, based in the APAC region, plays a crucial role in supporting all regional functions through comprehensive reporting and data-driven insights. We are currently undergoing an exciting transition, where we are enhancing our data capabilities and embracing Machine Learning and Predictive Analytics to better support our business objectives and drive growth.
Our team is composed of high-performing professionals who collaborate across business units to deliver insights that shape strategic decisions. You'll work closely with stakeholders across departments and geographies, including mentoring junior analysts and supporting organisational development initiatives.
About the Role
As a Senior Data Analyst III, you will lead analytics efforts and projects with full autonomy, from defining scope and approach to delivering actionable insights and business recommendations. You will be a thought leader in your domain, creating advanced insights that extend into adjacent areas of expertise and designing best practices that elevate analytics across the organisation. This role demands a strategic mindset and hands-on technical expertise. You will provide leadership and mentorship to the Data team, fostering a collaborative environment and enhancing team capabilities. You'll manage complex analytics and data projects, ensuring timely delivery within scope, while overseeing key functional spaces of data visualisations optimising its efficiency, scalability, and security. You will actively support organisational development by training stakeholders in analytics best practices and promoting a culture of data-driven decision-making. Your responsibilities will also include, developing and maintaining data models and collaborating with cross-functional teams to define analytics requirements and delivering impactful solutions. This is a high-impact role for someone who thrives on solving complex problems, influencing strategic decisions, and driving continuous improvement in data processes, governance, and technology adoption.
Responsibilities
+ Provide leadership and mentorship to the Data team, fostering a collaborative environment and enhancing team skills.
+ Lead analytics efforts and projects independently, including defining scope and approach.
+ Manage projects to ensure timely delivery within scope and quality standards.
+ Collaborate with stakeholders to enforce data quality and governance, assess and implement new technologies, and monitor analytics solution performance for continuous improvement.
+ Develop and maintain data models and products that support advanced analytics and reporting requirements.
+ Aim to uncover meaningful insights and deliver actionable business recommendations
+ Drive and develop new dashboards when new products are launched.
+ Continuously optimise data processes and workflows to improve efficiency, scalability, and reliability.
+ Perform data analysis and profiling to identify data quality issues, inconsistencies, and gaps.
+ Consolidate data accurately from various sources to conduct analysis and present findings & insights.
+ In a team setting, add value to conversations to develop, construct, install, test, and maintain data architectures (databases, large-scale processing systems, and data pipelines) that support ETL and Data Visualisations processes.
+ Write technical and release documentation including specifications, testing strategies, and performance benchmarks.
+ Collaborate with leadership teams to understand data needs and define analytics requirements.
+ Identify and make recommendations for improvement to existing processes and procedures.
+ Endorse and advocate for the benefit of change initiatives to functional leaders.
Requirements
+ Master's or PhD in Data Science, Statistics, Mathematics, or a related field.
+ 6-9 years of relevant experience in data analytics.
+ Strong business facing stakeholder management and project leadership skills.
+ Proven ability to lead large-scale strategic analytics programs.
+ Excel in teaching and directing others with a supportive and caring demeanor.
+ Demonstrates expert proficiency in preparing data using a variety of tools and programming languages. (SQL, Python, R)
+ Ability to effectively leverage big data platforms to maximize analytical value.
+ Can design and create compelling visualizations to influence stakeholders.
+ Able to identify opportunities and barriers, suggest solutions, and bring these to the attention of others, including those outside of the analytics team.
+ Demonstrated expertise in data modelling, statistical analysis, and data blending.
+ Deep understanding of industry trends and adjacent disciplines.
+ Experience in designing and maintaining scalable data architectures and pipelines.
+ Experience with customer usage data; how are subscribers using a system.
+ Financial / Accounting background. Including monthly closing processes, adjustment processes, contract management, and variance analysis.
+ Solid networking background: ability to design & troubleshoot firewall access & connectivity issues between systems.
Platforms & Tools
+ Extensive use of Databricks & the Medalion Architecture
+ Extensive use of Amazon Redshift
+ Business Events Data / Metadata Tagging Systems
+ Python libraries central to Analytics & ML (Scikit-learn, NumPy, Pandas, Matplotlib, etc.)
+ Strong knowledge of Power BI / Tableau
+ Microsoft Fabric Ecosystem
+ Database Management Tools (DBeaver, SSMS, etc.)
+ Machine Learning & Predictive Analytics Modelling is Advantageous
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, Paid Parental leaves, Volunteering leaves, Birthday leave, we will help you meet your immediate responsibilities and your long-term goals.
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
+ Optical Assistance
+ Life assurance and income protection
+ Option to buy additional Annual Leave days
+ Employee Assistance Program
+ Referral Bonus
+ Flexible working arrangements
+ Benefits for you and your family
+ Access to learning and development resources
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
To learn more about opportunities with LexisNexis or RELX Global, join us here:
now with your CV and cover letter outlining how your background aligns with the role.
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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.