Finance Analyst - Data Insights for Industrial Growth

Sharp and Carter; Sydney; On-site; AUD 85,000 - 110,000; Part time

Job summary

Sharp and Carter in Sydney Hills District NSW is seeking a Finance Analyst to join the finance team on a 6-month contract, immediate start preferred. You will transform complex financial and operational data into actionable insights and support decision-making across finance, operations, and senior leadership.

Ideal candidates have 2–3 years' experience, strong Excel (Pivot Tables, Power Query, complex formulas), and experience with BI tools like Power BI or Tableau.

Qualifications

• Degree qualified in Accounting, Finance, Business, Economics, Data Analytics, or a related discipline.
• 2-3 years' experience in a Finance Analyst, Commercial Analyst, Data Analyst role.
• Intermediate to Advanced Excel skills essential, including Pivot Tables, Power Query, INDEX/MATCH, XLOOKUP, SUMIFS.
• Experience using Power BI, Tableau, or similar BI tools would be highly regarded.
• Strong data analysis and problem-solving capabilities.

Responsibilities

• Analyse financial and operational data to identify trends, risks, and performance improvement opportunities.
• Develop and maintain dashboards, KPI reporting packs, and management reports.
• Support budgeting, forecasting, and month-end reporting processes.
• Perform profitability, cost, customer, and product analysis.
• Extract, manipulate, and cleanse large datasets from ERP and business systems.
• Automate reporting processes and improve data accuracy across the business.
• Partner with operational stakeholders to provide commercial insights and recommendations.
• Assist with ad hoc projects relating to process improvement, business performance, and strategic initiatives.

Education

Bachelor’s degree in Accounting/Finance/Business/Economics/Data Analytics

Tools

Excel

Power BI

Tableau

Job description

Sharp and Carter in Sydney Hills District NSW is seeking a Finance Analyst to join the finance team on a 6-month contract, immediate start preferred. You will transform complex financial and operational data into actionable insights and support decision-making across finance, operations, and senior leadership.

Ideal candidates have 2–3 years' experience, strong Excel (Pivot Tables, Power Query, complex formulas), and experience with BI tools like Power BI or Tableau.