Principal Financial Data Analyst Location: East Perth Australia Branch:Governance and Reporting Division:Infrastructure Salary:Level 7, $139,860 - $149,485 per annum (pro-rata) (PSCA 2024) Work Type:Permanent - Full Time FTE:1.0 Location:East Perth Job Description: This is a permanent full-time position commencing ASAP The Governance and Reporting branch is responsible for the financial management reporting functions and governance across the division. The branch is responsible for the financial operations of the Infrastructure division including statutory and external financial reporting requirements, liaison with internal and external stakeholders on all matters relating to Infrastructure finance, ensure management accounting and budgeting requirements are met and prepare accounts for payment against capital and recurrent budgets. The Role The Principal Financial Data Analyst leads and coordinates work on systems to manage and track the Department’s Asset Investment Program (AIP) and capital works programs including transportables and building condition assessments as well as maintenance and minor works. The role is responsible for planning and implementing data priorities, developing a plan to bring together critical data sets and external data sources to support infrastructure decision making and service delivery to schools. If successful, you will perform specialist business intelligence, analytics and reporting services for the Governance and Reporting branch including self-service enablement and data literacy support. This role will require a well-developed understanding of financial management and a strong awareness of existing and developing data sources, information systems and reporting requirements across the Infrastructure division and anticipate emerging requirements. Professional Benefits We are conveniently located in East Perth and our employees enjoy a range of benefits which include: - 12% employer contributed superannuation. - Flexible working arrangements are genuinely considered to create healthy work life balance including; working from home or remote, flexible working hours and part-time arrangements. - Generous leave entitlements including annual, personal, long service and parental leave. - Professional development opportunities and study leave/assistance. - Access to salary packaging (in accordance with relevant industrial instruments). - Enjoy easy access to public transport with the Claisebrook train station just a 5-minute walk away or, take advantage of the free Yellow Cat bus service that stops outside our building entrance. Additionally, various CPP parking locations are within walking distance. Want to know more? Full details of the role, selection criteria and training requirements are listed in the attached Job Description Form (JDF). We are committed to building the leadership capability of our people (Building Leadership Impact). Equity and Diversity We are committed to an inclusive and culturally responsive workforce reflecting the diversity in our workplaces and the Western Australian community. We welcome and encourage applications from Aboriginal and Torres Strait Islanders, young people, people of diverse sexualities and genders, people with disability, and people from culturally and linguistically diverse backgrounds. Explore our Equity, Diversity and Inclusion Plan 2021-2025 for more details. Eligibility To work with us, you must: - be an Australian or New Zealand citizen, permanent resident or have a valid visa with relevant work rights for the term of the appointment. - consent to a Nationally Coordinated Criminal History Check and obtain a current Screening Clearance Number issued by the Department of Education’s Screening Unit before you start.

Role Description Greenfield is looking for a Commercial Analytics Senior Manager to join our growing team. This role owns the measurement, reporting, and analytical infrastructure across marketing and sales. You will build the reporting suite, define KPIs and targets, and deliver the analytical models that connect marketing and sales activity to revenue outcomes. This is a hands-on, technical role that is equally comfortable building a semantic model in Fabric as presenting attribution results to senior leadership. This is a marketing-start up within a 35-year-old company rich with history, culture and deep values. This role requires an individual who is comfortable in an adapting, growing environment in the middle of exciting digital transformation. Job Responsibilities - Reporting & Measurement - Own the commercial analytics function: design, build, and roll out reporting suites and dashboards in Power BI for stakeholders across marketing, sales, operations, and finance. - Define and govern targets, goals, and KPIs across marketing and sales, proactively identifying new measurement opportunities that connect directly to revenue outcomes. - Present results and recommendations to senior leadership with clear, compelling data storytelling. - Analytics & Modeling - Develop and operationalize analytical models including attribution, segmentation, CLTV, churn/retention, lead scoring, predictive analytics, and causal inference. - Design and execute A/B testing and experimentation programs with appropriate statistical methodology. - Data Infrastructure & Governance - Build and maintain semantic models and data pipelines in Microsoft Fabric and/or Databricks, connecting CRM, marketing automation, ecommerce, and third-party data sources. - Manage data quality, hygiene, and governance across CRM and marketing automation platforms throughout the sales funnel. - Cross-Functional Partnership & Communication - Partner with stakeholders across marketing, sales, operations, and finance to translate business questions into analytical workstreams and ensure outputs are actionable. - Align measurement frameworks and KPI definitions with marketing and sales leads to ensure shared accountability for targets. - Train and enable non-technical stakeholders to self-serve on dashboards and interpret reporting outputs. Qualifications - 7+ years in commercial analytics, marketing analytics, revenue operations, or a related quantitative discipline. - Proficient in Python or R and SQL, with experience across structured and unstructured data formats. - Hands-on with Microsoft Fabric and/or Databricks for big data processing, data engineering, and analytics workloads. - Skilled in building semantic models, data models, and ETL/ELT pipelines at scale. - Proficient in Power BI and PowerQuery for dashboard development and reporting. - Familiar with DevOps practices including version control, CI/CD, and environment management. - Demonstrated use of AI tools to enhance analytical productivity. - Proven experience operationalizing models including marketing attribution, customer segmentation, churn/retention, CLTV, and lead scoring. - Experience designing and executing A/B tests and experimentation programs with statistical rigor. - Exposure to marketing mix modeling, predictive analytics, causal inference, or demand/pipeline forecasting is a plus. Requirements - Experience designing, building, and rolling out reporting suites and KPI frameworks across marketing, sales, operations, and finance in a B2B environment. - Direct exposure to marketing and sales platforms (CRM, marketing automation) and their underlying data structures (Dataverse, Salesforce Objects). - Track record presenting analytical results to senior leadership with a focus on business impact. - Experience in industrial, chemical, life sciences, energy, or related sectors is strongly preferred — comfort with technically complex subject matter is essential. Benefits - Base salary dependent on experience and demonstrated performance. - Formal and informal training opportunities. - Comprehensive health and dental benefits. - Income protection: short- and long-term disability coverage, life insurance, paid personal sick time. - Vacation time exceeding industry standards. - Company funded retirement savings program with individual contribution opportunities. - Meaningful and challenging work. - Curated intentional culture focused on growth and development, engagement, and communication.

• Extract, clean, and analyze patient data from Salesforce, EMR systems, and other data sources • Pull patient records and generate statistical analyses to identify trends, gaps, and opportunities for improvement • Develop and maintain recurring and ad hoc reports, dashboards, and data visualizations • Ensure data integrity, accuracy, and compliance with healthcare data standards and privacy regulations (HIPAA, etc.) • Collaborate with cross-functional teams to understand data needs and provide analytical support • Present insights and findings in a clear, actionable format for both technical and non-technical stakeholders • Maintain documentation of data processes, definitions, and reporting standards.

Role Description We are looking for senior sports data operations analysts to join our live operations team. In this role, you will: - Monitor real-time soccer and multi-sport data feeds. - Execute operational tasks during live sports events. - Ensure the accuracy and integrity of data flowing through our systems. - Make real-time decisions based on live data. - Work directly with live sports data during active events. This is a senior, precision-focused operations role — not a technical support or IT position. The work requires: - Deep familiarity with sports (especially soccer). - A sharp eye for data anomalies. - The ability to stay composed during high-pressure live event windows. Qualifications - 10–15 years of experience in sports data, data operations, or a related operational field. - Strong working knowledge of soccer — competition formats, teams, events, and data structures. - Comfortable handling large volumes of data and working with operational dashboards under time pressure. - Supervisor or team lead experience — you have managed or mentored others in an ops environment. - Clear written English for internal reporting and cross-team communication. - Self-directed and reliable in a 100% remote setup. Requirements - Available to work evening and late-night shifts according to the live sports calendar. - Genuine sports enthusiast — soccer knowledge is a strong advantage; familiarity with other major sports (basketball, tennis) is a plus. - Prior experience with sports data providers or real-time event data platforms. - Background in fintech, sports media, or similarly precision-driven data operations. Benefits - Opportunity to work at the intersection of sports, data, and AI. - Direct impact on live, real-world products and user experiences. - High ownership role with exposure to cutting-edge, real-time systems. - Ideal for candidates who thrive in fast-paced, mission-critical environments.