About the Company: Represented by D'Arcy Weil, this opportunity is with a well-established leader in the Australian energy sector, known for delivering innovative solutions and outstanding customer service. The organisation is committed to shaping the future of energy, driving sustainability, and fostering a culture of continuous improvement and collaboration. About the Role: As a Retail Operations Data Analyst , you will leverage your analytical expertise to drive operational efficiency and optimise business processes across retail operations. Your insights will play a crucial role in shaping strategies, improving service delivery, and achieving organisational goals. Key Responsibilities: Data Analysis: Analyse complex datasets to identify trends, inefficiencies, and opportunities for improvement. Reporting: Develop intuitive dashboards and reports using tools like Power BI, Tableau, and Excel to communicate insights effectively. Operational Improvements: Partner with teams to refine processes, enhance workflows, and implement impactful changes. Customer Behaviour Insights: Examine customer data to identify patterns and support retention and satisfaction strategies. Compliance Assurance: Support adherence to regulatory standards through data-driven monitoring and reporting. Performance Metrics: Monitor and evaluate key performance indicators to inform strategic decisions. About You: You are a skilled data analyst with a knack for translating complex data into actionable insights. Key qualifications include: Experience: 2–4 years of experience in data analytics or operations, ideally within the energy or utilities sector. Strong background in analysing retail operations or customer service performance. Technical Skills: Proficiency in data visualisation tools such as Power BI or Tableau. Advanced Excel skills and familiarity with SQL for database queries. Knowledge of statistical analysis or predictive modelling is an advantage. Attributes: Analytical mindset with a problem-solving approach. Strong communication skills for presenting findings to diverse stakeholders. Collaborative and detail-oriented, with a focus on delivering measurable outcomes. Education: A degree in data science, analytics, business, or a related discipline. What’s on Offer: Career Growth: Advance your career in a dynamic environment with opportunities to develop your analytical expertise. Meaningful Impact: Contribute to improving retail operations and customer outcomes through data-driven initiatives. Flexible Work Model: Benefit from a 3/2 hybrid office-to-WFH arrangement, balancing professional and personal commitments. Collaborative Culture: Join a team that values innovation, diversity, and teamwork. Competitive Rewards: Attractive salary package, benefits, and performance incentives. How to Apply: Submit your CV and a cover letter detailing your experience in data analysis and retail operations. Highlight your proficiency with relevant tools and your impact on process optimisation or performance improvement. For more information, contact: Recruitment Contact: Ivan Pignataro | 0416 507 856 | ivandarcyweil.com DataAnalytics RetailOperations EnergySector CustomerInsights DataVisualisation PowerBI SQL MelbourneJobs CareerOpportunities