Analytics Manager - Amanda Energy

Perdaman Global Services Pty Ltd; Western Australia; On-site; AUD 150,000 - 190,000; Full time

Job summary

Perdaman Global Services Pty Ltd is seeking an Analytics Manager to lead Amanda Energy's data analytics, BI and reporting functions from Perth, WA. The role transforms energy market data into actionable insights to drive revenue growth, operations excellence, and strategic planning across Australia.

You will manage analytics team members, design dashboards and executive reports, and partner with senior leadership on opportunities and risks.

Qualifications

• Bachelor's degree in data analytics, business analytics, statistics, economics, commerce, engineering, information systems or a related discipline.
• Proven experience in analytics, BI, data analytics or commercial analysis.
• Experience with Power BI, SQL, Excel and BI tools.
• Demonstrated ability to lead analytics projects and engage stakeholders.
• Strong analytical, problem-solving and commercial skills with ability to interpret data.

Responsibilities

• Develop and implement analytics/BI strategy for the organisation.
• Lead collection, validation, interpretation and reporting of operational, customer and market data.
• Establish data governance, reporting standards and performance metrics.

Skills

Analytics

Dashboards

KPI reporting

Stakeholder management

Communication

Leadership

Problem-solving

Presentation

Education

Bachelor's degree in data analytics, business analytics, statistics, economics, commerce, engineering, information systems or related discipline

Master's degree or certifications in Power BI, SQL, Tableau, data science or Agile methodologies

Tools

Power BI

SQL

Excel

Job description

About the role: The Analytics Manager will lead Amanda Energy's data analytics, business intelligence and reporting functions to drive informed commercial and operational decision-making. Based in Perth, WA, this role will transform energy market, customer, pricing, renewable energy, battery storage and business performance data into actionable insights that support revenue growth, operational excellence, customer retention and strategic planning across Australia. The position reports to the Director – Operations or Head of Energy and may manage data analysts, business intelligence analysts, reporting specialists and external consultants.

Key responsibilities:

Develop and implement the organisation's analytics and business intelligence strategy.

Lead the collection, validation, interpretation and reporting of operational, customer and market data.

Establish data governance frameworks, reporting standards and performance metrics.

Drive data-informed decision-making and collaborate with senior leadership on strategic opportunities and business improvement initiatives.

Provide leadership, mentoring and development support to analytics team members.

Design and maintain dashboards, scorecards and automated reporting solutions.

Develop executive-level reports covering business performance, customer trends, revenue growth, market activity and operational KPIs.

Monitor key business metrics and identify trends, anomalies, risks and opportunities through advanced data analysis.

Analyse electricity, natural gas, renewable energy and battery energy storage market data.

Monitor market pricing trends, competitor activity, regulatory developments and industry changes.

Support pricing strategies through market modelling and forecasting, and evaluate customer consumption profiles to identify optimisation opportunities.

Develop forecasting models relating to energy demand, customer growth, pricing, revenue and market performance.

Conduct scenario planning, predictive analytics, financial analysis and commercial analysis to support strategic decision-making.

Support budgeting and long-term business planning activities.

Translate complex data findings into clear business recommendations and present insights to senior stakeholders and management committees.

Work closely with executive leadership, sales, operations, finance, marketing and customer service teams, as well as external partners where required.

Manage business intelligence platforms, reporting databases, CRM reporting systems and analytical tools.

Ensure data integrity, security and accuracy across reporting systems and identify opportunities to improve automation and operational efficiency.

Support the implementation of analytics technologies and digital transformation initiatives.

Comply with relevant legislation, regulations, company policies and procedures, and meet workplace health and safety responsibilities.

Take ownership of assigned responsibilities, deliver outcomes to a high standard and contribute to continuous improvement and effective teamwork.

What we're looking for:

Minimum five to eight years' experience in analytics, business intelligence, data analytics, commercial analysis or a related field.

Proven experience developing dashboards, KPI reporting and executive-level analytics.

Experience with Power BI, SQL, Excel and business intelligence tools.

Demonstrated experience managing analytical projects and engaging stakeholders.

Advanced analytical, problem-solving and commercial skills, with the ability to interpret business performance data.

Expertise in business intelligence and data visualisation tools, with strong reporting and Microsoft Excel capabilities.

Excellent communication and presentation skills, including the ability to translate complex data into actionable business insights.

Strong stakeholder management, influencing, organisation and prioritisation skills, with high attention to detail and data accuracy.

Strong understanding of energy markets and industry trends.

Bachelor's degree in data analytics, business analytics, statistics, economics, commerce, engineering, information systems or a related discipline.

Current and valid driver's licence in Western Australia.

National Police Clearance.

Experience leading analytics teams and working within the Australian energy, utilities, renewable energy, resources or infrastructure sectors is desirable.

Experience with energy market analytics, retail pricing models, predictive analytics, machine learning or data science methodologies is desirable.

A master's degree or relevant certifications in Power BI, Microsoft Data Analytics, SQL, Tableau, data science or Agile methodologies is desirable.