
Business Intelligence/Supply Chain Analyst
- Macquarie Park, NSW
- Permanent
- Full-time
- Supportive and collaborative team environment.
- Convenient location - easily accessible via Macquarie Park Metro.
- Recognition for high performance and achievements.
- High-performing organisation that puts customers at the heart of everything we do.
- Design and maintain reporting tools & dashboards using MS Excel and Power BI.
- Provide accurate and timely insights to identify areas of cost savings, business opportunities and efficiencies and support business decision-making.
- Provide analytical support to the marketing team to improve data efficiency.
- Providing project support as needed.
- Automate reporting processes to improve efficiencies.
- Prepare and present business intelligence reports to a range of stakeholders.
- Collaborate across the organisation to meet business needs.
- Minimum 3 to 5 years of data analyst experience
- Proficiency in ERP systems (SAP preferred)
- Bachelor's or Master's degree in a relevant field such as Business Analytics, Commerce or a related discipline.
- Previous experience as an analyst or in a similar analytical role, with a demonstrated track record of leveraging data to drive business outcomes within sales, marketing and operations.
- Proficiency in Excel, with experience in Power Pivot, Power Query, Power BI and ERP system such as SAP/BI/SAC.
- Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights. Experience with data modelling, data mining, and predictive analytics techniques is a plus.
- Understanding of business operations, industry dynamics, and key performance indicators (KPIs) to identify meaningful insights and recommend data-driven strategies.
- Excellent verbal and written communication skills, with the ability to present technical information to non-technical stakeholders in a clear and concise manner.
- Meticulous attention to detail with a focus on data accuracy and quality.
- Takes ownership and responsibility
- Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams.
- Ability to work in a fast-paced environment, adapt to changing priorities, and quickly learn new tools and technologies.
- Supportive and collaborative team environment.
- Convenient location - easily accessible via Macquarie Park Metro.
- Recognition for high performance and achievements.
- High-performing organisation that puts customers at the heart of everything we do.
- Design and maintain reporting tools & dashboards using MS Excel and Power BI.
- Provide accurate and timely insights to identify areas of cost savings, business opportunities and efficiencies and support business decision-making.
- Provide analytical support to the marketing team to improve data efficiency.
- Providing project support as needed.
- Automate reporting processes to improve efficiencies.
- Prepare and present business intelligence reports to a range of stakeholders.
- Collaborate across the organisation to meet business needs.
- Minimum 3 to 5 years of data analyst experience
- Proficiency in ERP systems (SAP preferred)
- Bachelor's or Master's degree in a relevant field such as Business Analytics, Commerce or a related discipline.
- Previous experience as an analyst or in a similar analytical role, with a demonstrated track record of leveraging data to drive business outcomes within sales, marketing and operations.
- Proficiency in Excel, with experience in Power Pivot, Power Query, Power BI and ERP system such as SAP/BI/SAC.
- Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights. Experience with data modelling, data mining, and predictive analytics techniques is a plus.
- Understanding of business operations, industry dynamics, and key performance indicators (KPIs) to identify meaningful insights and recommend data-driven strategies.
- Excellent verbal and written communication skills, with the ability to present technical information to non-technical stakeholders in a clear and concise manner.
- Meticulous attention to detail with a focus on data accuracy and quality.
- Takes ownership and responsibility
- Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams.
- Ability to work in a fast-paced environment, adapt to changing priorities, and quickly learn new tools and technologies.