Business Data Analyst

​​Looking for Philippines-based candidates

Job Role: Senior Business Data Analyst

Compensation range: $3,000 AUD - $3,500 AUD / Monthly

Engagement type: Independent Contractor Agreement

Work Schedule: This role is expected to align with the AU business hours (approx. 9 AM - 5 PM, Monday to Friday) for collaboration, but as a contractor, you’ll have flexibility in how you manage your time.

Who We Are: At Hunt St, we help Australian companies hire top remote talent in the Philippines. For this role, you will be engaged directly by the client as an independent contractor. We are not an outsourcing agency. All of our roles are 100% remote so you'll be able to work from home.

Who The Client Is: Our client is a technology-driven organization that helps businesses modernize their operations through software development, process automation, and tailored IT solutions. By leveraging scalable technologies and strategic digital initiatives, they enable organizations to improve efficiency, streamline workflows, and navigate evolving business challenges. Their commitment to delivering practical, results-oriented solutions has made them a trusted partner for companies seeking sustainable growth and operational excellence.

Role Overview: The Senior Business Data Analyst will play a key role in helping to turn data into better commercial, customer and operational decisions across its brands and retail, digital and wholesale channels. This is a hands-on role that combines strong analytical capability with business partnering, working closely with stakeholders to understand business challenges, define requirements and translate complex data into clear, actionable insights. The role will analyse customer, product, sales, inventory and operational data, identify trends and performance drivers, challenge assumptions, and provide recommendations that directly support business priorities.

Key Responsibilities: 

Business analysis and problem definition

• Work with stakeholders to understand business problems, decisions and priorities
• Build a strong understanding of the business processes behind the data

Requirements definition

• Gather requirements for analytics, reporting and data initiatives
• Define metrics, business rules, data needs and acceptance criteria
• Document requirements to allow technical teams to build the right solution
• Help prioritise requirements based on business value, effort and available data

Analytics and insights

• Analyse customer, product, sales, inventory and operational data
• Identify trends, performance drivers, risks and opportunities
• Test assumptions and investigate the reasons behind business performance
• Turn findings into clear insights and practical recommendations