Lead Data Analysts

Job description

• Locations: Deakin ACT, Richmond VIC, Geelong VIC, Chermside QLD, Surry Hills NSW, Newcastle NSW
• Australian Citizenship Required

 
The Lead Data Analyst will work with considerable independence to solve complex problems, manage risk-related issues and deliver high-level policy advice and operational support. Leading detailed and sensitive projects, you will apply sound judgement across varied activities that influence strategic and operational outcomes, while building strong stakeholder relationships and representing the client in key forums.

Key responsibilities

• Undertaking day-to-day analytical work and project management on a range of tasks including regular and one-off analyses and ad hoc requests.
• Maintaining knowledge in understanding business areas with regard to business context, goals and key performance indicators.
• Contributing to the development of reporting, assisting in the establishment of quality assurance and governance processes around all branch reporting.
• Analysing data, interpreting trends, utilising problem solving, and connecting analysis and insights to address problems and questions.
• Collaborating with key staff within the branch and across the Agency to ensure consistent use of data and reporting, and internal and external messaging.
• Presenting the outcomes of work undertaken and tailoring to context across various forums.
• Mentoring and development of a small group of less experienced team members.

NOTE: the key responsibilities of the role are based on current priorities and may change over time

Technical skills

• Possess strong data analytics skills, in particular SQL (ideally SAS EG/SAS Viya), with a good knowledge of data visualisation and statistical analysis techniques.

Essential criteria

• High level data analytics skills
• Problem-Solving: Identifying and solving complex data-related problems
• Critical Thinking: Analysing data objectively and making informed decisions
• Effective Communication: Ability to clearly communicate complex data insights to both technical and non-technical audiences.
• Collaboration: Working effectively with cross-functional teams.

Desirable criteria

• Knowledge of programming languages like Python and R
• Experience in fraud analytics
• Strong understanding of statistical techniques and machine learning

To Apply

If this sounds like the role for you, please submit an updated copy of your resume in MS Word format by hitting APPLY NOW or contact Deepika at dbhasin@dfp.com.au / +61 2 9200 3673.

Applicants new to DFP may be asked to provide additional information including work rights status via a survey link – if requested, we ask that you provide this information in order to expedite your application.
 
DFP welcomes applications from Aboriginal and Torres Strait Islander people, people with diverse cultural and linguistic backgrounds and people with disability. In addition, DFP will provide reasonable adjustments for individuals with disability throughout the recruitment process. If you identify as a person with disability and require adjustments to the application, recruitment, selection and/or assessment process, please advise via adjustments@dfp.com.au or 1300 337 000 and indicate your preferred method of communication (email, phone, text) so we can keep in touch and meet your accessibility needs.
 
By clicking 'apply', you give consent that DFP may use your personal information to process your job application and to contact you for future employment opportunities. For further information on how DFP process your personal information please review the DFP Information Collection and Privacy Policy via https://www.dfp.com.au/legal_documents/privacy_policy. Do not submit any sensitive personal information in your resume.