Remote Pricing Analyst - Growth & Profitability

AU10 Electrolux Home Products Pty. Ltd.

Sydney

Hybrid

AUD 90,000 - 130,000

Full time

5 days ago
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Benefits offered by this job

Product discounts
Onsite parking
Mentorship program
Wellness programs
Flexible work options

Job summary

AU10 Electrolux Home Products Pty. Ltd. in Mascot NSW offers a Pricing Analyst role with hybrid work options. You will partner with the Commercial Sales team to shape pricing, analyse profitability, and implement governance for tenders and quotations.

The role emphasizes data-driven decision-making, implementing pricing models, and collaborating across Sales, Finance and Product Lines using SAP, C4C and Power BI.

Qualifications

  • 5+ years in pricing, finance or business partnering.
  • Experience in tender evaluation and commercial quotations.
  • Experience supporting B2B sales teams and large-scale opportunities.
  • Strong commercial acumen and profitability understanding.
  • Advanced analytical and problem-solving skills.

Responsibilities

  • Act as the primary finance partner to the Commercial Sales team.
  • Provide pricing and profitability analysis for negotiations and tenders.
  • Develop and improve pricing models, tools and reporting.
  • Support tender evaluation and governance processes.
  • Leverage SAP, C4C and reporting capabilities to drive pricing improvements.
  • Identify opportunities to improve margins and drive data-driven decisions.

Skills

Pricing
Commercial finance
Data analysis
Stakeholder management
Excel & VBA
Power BI

Education

Degree in Finance/Commerce

Tools

SAP
Power BI
Power Query
Excel
C4C

Job description

AU10 Electrolux Home Products Pty. Ltd. in Mascot NSW offers a Pricing Analyst role with hybrid work options. You will partner with the Commercial Sales team to shape pricing, analyse profitability, and implement governance for tenders and quotations.

The role emphasizes data-driven decision-making, implementing pricing models, and collaborating across Sales, Finance and Product Lines using SAP, C4C and Power BI.

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