We’re inventing the future, right here, right now, at Thales. We design the critical security solutions of tomorrow by combining the curiosity to explore, the intelligence to question and the vision to create. Together we solve complicated problems by combining our experience in the market with our leading research and development capabilities.
About Your Role
The Data Analyst position will report through to the Local Business Partner Lead as part of the Product Insights team in Sydney Olympic Park. This is a great permanent full-time opportunity for you to gain more experience within a dedicated team. IS/IT delivers a shared IT service to all Thales Australia business units located across Australia. We are currently on a transformational journey, and we are looking for an engaging candidate who looking to expand on their experience and who will be an active participant in our journey.
Data Analyst is responsibilities include:
Design, implementation and support of data management systems to meet identified Thales Australia and Thales Global needs
Design, implement and manage data ingestion, transformation and orchestration from internal and external sources
Design, implement and support the data model other Power BI assets such as reports and dashboards.
Integrate new data management technologies and software engineering tools into existing structures
Continuously develop new and improved data engineering best practice and capabilities
Provide subject matter expertise on data science technologies, especially around data extraction, transformation and modelling
Drive governance and quality of data and analytical models, standards and controls •
Execute Agile/Scrum Development Life Cycle way of working and work collaboratively across the business, understanding the needs of various teams
How About You?
Undergraduate Degree or relevant industry qualifications
Practical experience in SQL, Python, R and Power BI
Proven experience using Power BI to an advanced level-including ability to build and refine models, develop DAX measures and build reports
Practical experience in Databricks Spark (SQL/Python)
Practical experience with data pipeline tools in the cloud and on-premise such as Nifi and ACE
Practical experience with ETL tools such as IBM Datastage
Demonstrated knowledge creating and working within a Data Warehouse
Understanding of data lake related tools and services: Azure storage and/or ADLS, Spark, git, Jira, Jenkins, Artifactory
Sound analytical and problem-solving skills
Working in an Agile (Scrum) Environment
Excellent written and oral communication skills
Excellent listening and interpersonal skills
Highly self-motivated and self-directed
Good to Know
You’ll get an email acknowledgement after you’ve applied, Thales strives to provide a personalised experience for all suitable applicants.
As a Defence security clearance is required for this role, applicants must be Australian citizens and eligible to obtain and maintain an appropriate clearance. To learn more about clearances please visit – http://www.defence.gov.au/AGSVA/
International Traffic in Arms Regulations (ITAR) are applicable and as such, your nationality may be a factor in determining your suitability for this role.
Prior to offer you’ll complete a pre-employment police and medical check.
For more information on Thales visit us @ThalesCareers on Instagram
Thales is committed to promoting and maintaining a workplace culture of shared respect that enables all of us to feel valued, do our best, and remain truly passionate about the place that we work. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive workplace. We encourage applications from Aboriginal and Torres Strait Islander people and individuals from diverse backgrounds.
We are also proud to be a WORK180 Endorsed Employer for Women. If you would like to know more on how we are supporting our employees, you can view our policies and initiatives here: https://work180.com/en-AU/for-women/employer/thales .
Wellbeing matters at Thales, and where possible we encourage flexible working.