Senior Business Data Analyst Overview: Join a leading global technology company recognised for its commitment to innovation, excellence, and employee well-being. With a proven track record as one of the best workplaces globally, we empower our teams to thrive and achieve their full potential. We are looking for a Senior Business Data Analyst to join our dynamic team in Sydney, Australia. Responsibilities: Data Analysis & Insights: Extract, process, and analyse complex datasets using tools such as SQL, Python, PySpark, and Pandas. Transform data into actionable insights that drive business decisions. Pipeline Development: Design, build, and maintain efficient data pipelines with technologies like Apache Hadoop, Delta Lake, Hive, Spark, and Databricks. Visualisation & Reporting: Create impactful dashboards and reports using visualisation tools like Qlik Sense, Tableau, or Google Sheets to communicate findings effectively. Customer Behavior Analysis: Use data to uncover trends, understand customer behavior, and provide insights that align with business goals. Stakeholder Communication: Present complex data insights clearly to stakeholders, including senior executives, ensuring alignment with business objectives. Collaboration & Innovation: Partner with cross-functional teams to fulfill analytics requests and identify opportunities for process improvements and innovative solutions. Must-Have Skills & Experience: 6 years in analytics, including at least 1-2 years in a leadership role. Advanced SQL skills with the ability to write and optimise complex queries. Proven expertise in analysing and integrating large, diverse datasets. Proficiency in data visualisation tools such as Qlik Sense or Tableau. Exceptional written and verbal communication skills, including executive-level presentations. Strong multitasking and organisational abilities in a fast-paced environment. Desirable Skills: Experience with tools like Apache Hadoop, Delta Lake, Hive, Spark, or Databricks. Advanced Python capabilities, including API integrations. Familiarity with statistical modelling and machine learning techniques. Experience in Salesforce and SaaS-based environments. Benefits: Be part of a company that genuinely values its employees and fosters a supportive, inclusive culture. Work with passionate, innovative professionals committed to making a difference. Access opportunities for professional growth and skill enhancement. Enjoy the perks of a rewarding career in a global organization.