Senior Data Analyst

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

Description:

This role is responsible for developing and scaling analytics, automation, and AI-enabled capability across core business processes in ANZ.

The role supports multiple business functions including Supply Chain, Commercial, Finance, and Operations by delivering integrated insights, process automation, and decision-support tools that improve performance, customer outcomes, and operational efficiency.

The role enables data-driven decision-making, drives continuous improvement, and helps establish consistent analytics and automation practices across the organisation.

Key Responsibilities:

Analytics & Insight Delivery

• Develop and maintain integrated dashboards and reporting (Power BI) across core processes (e.g. Quote to Cash, Procure to Pay)
• Translate complex data into clear, actionable insights that support business decision-making
• Provide visibility of performance, risks, and opportunities across value streams and functions
• Contribute to development of standardised analytics frameworks and reporting structures

Data Integration & Governance

• Integrate data across ERP, CRM, logistics, and other systems to create end-to-end visibility
• Improve data quality, consistency, and governance across reporting processes
• Reduce reliance on manual reporting, spreadsheets, and fragmented data sources

Automation & AI Enablement

• Design and implement process automation solutions (e.g. Power Automate) to improve efficiency
• Identify and support delivery of AI-enabled use cases, including: Predictive insights, Exception management, Process optimisation
• Support adoption of data driven and AI-enabled decision making practices across the business

Continuous Improvement (PPI)

• Apply Lean / PPI methodologies to identify root causes and improvement opportunities
• Support delivery of high-impact improvement initiatives across business functions
• Contribute to structured problem-solving, prioritisation, and tracking of benefits

Business Partnering & Enablement

• Partner with functional teams to embed analytics into day-to-day decision-making
• Provide insights and support to enable performance improvement initiatives
• Reduce single point dependencies by improving accessibility and usability of data

Capability Building & Standardisation

• Train and support users in Power BI, automation tools, and analytics best practices
• Contribute to development of standard tools, templates, and frameworks
• Support adoption of consistent ways of working across business units

Success Factors:

The Senior Analyst is accountable for delivering measurable outcomes across analytics, automation, business impact, and capability building.

• Adoption and usage of analytics across business functions
• Reduction in manual reporting and processing effort
• Delivery of automation and AI-enabled improvements
• Improvement in data quality and reporting reliability
• Measurable impact on business performance and decision making

Frequent Contacts:

Internal

• Director, Operations
• Director, Finance
• Head of Customer Care
• Head of Planning
• Head of Logistics Operations
• Head of Quality
• Senior Manager, Finance
• PPI (Practical Process Improvement) Manager
• Strategic Sourcing Manager

External

• Logistics and distribution partners
• Channel Partners
• Key customers and strategic partners (in collaboration with Strategic Partnerships team)

Minimum Requirements/Qualifications:

• Bachelor’s degree in data science, mathematics, engineering, or a related field
• Experience delivering analytics and automation solutions across business functions
• Experience working in a complex matrix environment
• Demonstrated ability to translate data into commercial and operational outcomes
• Microsoft Certified in Power BI Data Analyst (PL-300), Power Platform (Power Automate / Power Apps) – (desirable)
• Certification or training in AI / advanced analytics (e.g. Python, Azure AI Fundamentals) – (desirable)
• Lean Six Sigma (Green Belt) or equivalent (desirable)

Skills & Attributes

• Strong experience with Power BI, Power Automate, and associated tools

• Experience working with ERP (SAP, JDE), CRM (Salesforce), and integrated data environments
• Proficiency in SQL for data extraction, transformation, and analysis
• Working knowledge of Python or R for data analysis, automation, or advanced analytics
• Experience with data modelling, transformation, and data pipeline concepts
• Exposure to AI, machine learning, or advanced analytics tools (preferred)
• Strong commercial competence with the ability to draw insights from data
• Enterprise thinker, understanding the inter-dependencies of processes like QTC, P2P, MDM, R2R within sales and distribution organisations.
• Strong communication skills with an ability to prioritise based on key result areas, to handle time optimally and to meet agreed targets
• Proven high level of integrity and professional standards
• Able to bring a cohort of ANZ analysts together, to coordinate and work to a common framework

  

Benefits

Join our team and take advantage of these great benefits! Apply now to learn more about the full range of benefits we offer.

• Health & Wellbeing: Join a company that prioritizes your health & wellbeing with comprehensive benefits, wellness programs, and an Employee Assistance Program providing confidential support for personal and work-related issues.

• Flexibility: Balance your work and personal life with flexible arrangements.

• Extra Leave: Benefit from generous leave policies, including the option to purchase additional leave, paid birthday leave, and company paid parental leave.

• Charitable Giving & Volunteering: Make an impact with paid volunteer time to support non-profit organizations that matter to you.

• Learning & Development: Advance your career with access to online courses via Thermo Fisher Scientific University Plus and LinkedIn learning, workshops, and mentorship programs for continuous learning and skill development.

Thermo Fisher Scientific Australia WGEA Employer of Choice for Gender Equality

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.