Data & AI Analyst

Accountable for producing accurate, relevant and clearly communicated analysis that helps stakeholders understand business performance, investigate problems and make evidence-based decisions.

Gather, clean, transform and analyse data using approved Cochlear data sources, analytical environments and tools.

Apply statistical, mathematical and exploratory analytical techniques to identify patterns, trends, relationships, anomalies and potential drivers of business outcomes.

Develop reports, visualisations, analytical models and concise recommendations appropriate to the intended audience.

Validate data, analytical assumptions and results with data owners, subject matter experts and experienced team members.

Clearly document data sources, methods, assumptions, limitations and conclusions so that work is transparent and reproducible.

Success will be measured by the accuracy, usefulness, clarity and timely delivery of analysis, and by the extent to which it enables better-informed business decisions.

Accountable for helping identify business problems and opportunities that may benefit from improved data, analytics, automation, machine learning or generative AI.

Engage with business stakeholders to understand their problems, desired outcomes, current processes and decision-making needs.

Translate broad or ambiguous problems into structured questions, hypotheses, measurable outcomes and analytical work plans.

Assess the availability, suitability, quality, sensitivity and limitations of data required to address an opportunity.

Undertake exploratory analysis and develop early-stage proofs of concept or prototypes where appropriate.

Contribute to opportunity assessments and business cases by documenting expected value, feasibility, dependencies, risks and recommended next steps.

Consult with business subject matter experts, data professionals, architects, engineers, security, privacy, quality and other relevant stakeholders.

Success will be demonstrated through a well-supported pipeline of practical opportunities and evidence-based recommendations that enable informed investment or prioritisation decisions.

Accountable for developing fit-for-purpose analytical outputs and early-stage solutions that demonstrate value and support subsequent delivery decisions.

Develop exploratory models, algorithms, dashboards, automations, data products or AI prototypes using approved tools and environments.

Apply appropriate software development and analytical practices, including version control, testing, peer review and technical documentation.

Evaluate solution performance against agreed measures and communicate where results, data or assumptions limit the solution’s use.

Work with data engineering, platform, architecture and business teams to ensure that prototypes can be understood, assessed and, where appropriate, transitioned into supported solutions.

Operate primarily within Cochlear’s existing delivery, data governance, quality, security and technology processes, while contributing ideas for new methods and improved ways of working.

The most complex aspect of the role is likely to be converting an ambiguous business question into a technically sound and practical solution when data is incomplete, inconsistent or distributed across multiple systems.

Success will be measured by the quality, repeatability and practical relevance of prototypes, rather than the volume of prototypes produced.

Accountable for ensuring that analytical work is conducted in accordance with Cochlear’s applicable data governance, privacy, security, quality, responsible AI and regulatory requirements.

Use data only through authorised systems, approved access arrangements and agreed business purposes.

Assess and document relevant data quality, privacy, security, bias, ethical, intellectual property and model risks.

Protect confidential, personal, commercially sensitive and regulated information throughout the analytical lifecycle.

Follow required review, validation and approval processes before analytical outputs or AI-enabled solutions are used for business decision-making.

Escalate data issues, unexpected model behaviour, potential control failures or inappropriate uses of data and AI to the relevant manager or accountable owner.

Maintain sufficient records to support review, traceability, reproducibility and audit where required.

Consult with data owners, data governance specialists, security, privacy, quality, regulatory and technical experts according to the nature and risk of the work.

Success will be demonstrated by compliant, well-documented delivery with risks identified early and no avoidable misuse or inappropriate disclosure of information.

Accountable for building productive working relationships and making analytical findings understandable and useful to both technical and non-technical stakeholders.

Work collaboratively with colleagues across business functions, regions and technical disciplines to understand needs and deliver agreed outcomes.

Participate in discovery sessions, workshops, working groups, project meetings and peer reviews.

Explain analytical approaches, technical concepts, uncertainties and limitations in clear language appropriate to the audience.

Present findings through concise written reports, visualisations, demonstrations and verbal briefings.

Seek feedback early, respond constructively and adapt analysis when new evidence or stakeholder needs emerge.

Manage agreed tasks and priorities transparently, raising dependencies or delivery risks promptly.

Success will be indicated by trusted stakeholder relationships, clear communication, effective collaboration and the practical adoption of recommendations or outputs.

Accountable for developing personal capability while contributing reusable knowledge, improved methods and a culture of curiosity and responsible experimentation.

Develop practical knowledge of Cochlear’s business, data, systems, analytical platforms and applicable governance requirements.

Maintain and expand technical capability in data analysis, statistics, visualisation, programming, machine learning and responsible AI.

Share useful code, templates, analytical methods, documentation and lessons learned with colleagues.

Contribute ideas that improve analytical quality, efficiency, repeatability and stakeholder experience.

Participate in communities of practice, demonstrations, training activities and peer learning.

Seek coaching, technical review and feedback from experienced practitioners, particularly where the work is novel, complex or higher risk.

Success will be measured through growing independence, improved technical and business capability, reusable contributions and demonstrable continuous improvement.

Follow relevant quality procedures to deliver quality products and services and identify and support the implementation of continuous improvement. Undertake additional quality responsibilities (e.g., audit) when appropriately trained to undertake these responsibilities.

Contribute ideas on systems and process methods to improve deliverables.

Work safely, complying with all safety procedures, rules, and instructions; and reporting workplace hazards, incidents, or injuries to manager.

No formal professional certification is required.

Relevant entry-level certifications in data analytics, cloud platforms, AI, data visualisation or related technologies would be advantageous but are not essential.

Bachelor’s degree in Mathematics, Physics, Statistics, Data Science, Computer Science, Engineering or another highly quantitative discipline.

Honours, postgraduate study or substantial university project work in applied mathematics, physics, statistics, data science, machine learning or a related discipline is desirable but not required.

If you feel that you have the skills and experience to be successful in this role and take on new challenges to build your career with Cochlear, please start your application by clicking the apply button below.

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At Cochlear we value and welcome the unique contributions, perspectives, experiences, and backgrounds of our employees and aim to build a culture that celebrates and leverages these differences, creating a sense of belonging and enabling our people to realise their full potential. Through our internal programs and employee benefits, we aim to create an environment where our people will feel value and supported. Whether your focus is on continuous learning, professional development or simply finding an environment which enables you to thrive whilst balancing family or personal life commitments, then we have several programs in place to support you.

For more information about Life at Cochlear, visit www.cochlearcareers.com