Data Analyst

Overview About Amber: Amber is an energy platform focused on new ways of buying, banking and selling energy, aiming to automate home batteries and EVs to reduce customers’ energy bills and accelerate the renewable energy transition. We are backed by leading investors and growing rapidly, with a diverse team across energy, technology, marketing and operations. Amber for Batteries unlocks value for homeowners with batteries by storing energy when cheap and exporting to the grid at favorable wholesale feed-in rates. Amber for EVs provides an EV smart charging solution to save on charging costs and, in 2025, will begin development of vehicle-to-grid technology. Amber is committed to a diverse and inclusive workplace with a culture focused on building a better world. Role context: You would join a rapidly growing team of over 150 people and report to the COO. The role focuses on enabling a data-driven culture and building scalable analytics across the operations organization to improve the meter-to-cash lifecycle and customer experience. About the Role Reporting to the COO, we are looking for a Data Analyst who will define, measure, operationalize and democratize data, metrics and insights to drive decision making across operations and scale the business. You will work with the COO, senior operations leadership and the data engineering team to build reporting and insights that optimise the meter-to-cash lifecycle and deliver the best end-to-end customer experience. You will: Design and automate reporting using modern BI tools (Tableau) at scale to support operational decisions and strategies Develop methodologies and frameworks to assess and measure pain points in the customer support experience Drive analysis and create insights to optimise the meter-to-cash lifecycle Build and automate a set of reports that meet regulatory obligations Contribute as a key member of the analytics and BI guild to drive best practices in tools, pipelines, infrastructure and processes Operationalise key data-heavy components of the customer experience and meter-to-cash lifecycle through queries and automation Key Requirements 3+ years of experience in a Data Analyst or Data Science role, with a focus on building dashboards and/or analysing data to drive insights Degree in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering) Strong SQL skills; knowledge of other development languages (e.g., Python) is a plus Experience with modern BI tools (e.g., Tableau) Entrepreneurial spirit, thrives in a fast-paced environment, handles ambiguity and focuses on impact Proven ability to work cross-functionally and build trust with internal stakeholders Strong problem-solving and analytical skills with good judgment and communication Bonus points Experience at an early/growth-stage startup Passion for technology, energy and the environment Benefits Be part of a growing tech startup shaping the future of renewable energy in Australia Exciting coworking location in the CBD Flexible working hours with regular work-from-home arrangements Equitable gender-neutral parental leave policies External Employee Assistance Plan for mental health support Competitive salary and equity Annual Learning & Development budget for personal growth $130,000 - $150,000 a year. Salary is quoted excluding superannuation. All roles include employee stock options on top of base salary and superannuation. Full-time role based ideally in Melbourne, Australia, with openness to considering the right candidate anywhere within Australia. Office in Melbourne CBD with flexible office/remote work; occasional co-working for Sydney-based staff. We welcome applicants from all backgrounds and are committed to equal opportunity. Applications will be accepted only from candidates based in Australia with full working rights. How to apply: please submit your resume and a cover letter via the provided link. Bonus questions to include in your cover letter: the mathematical relationship between the wholesale price published on AEMO and the price Amber customers pay; your current favourite analytics tool. Our hiring process includes an initial screening, take-home case studies, a cultural interview and final interviews with leadership. We appreciate your time and will notify shortlisted candidates promptly. No recruitment agencies, please. If this role excites you, apply even if you don’t tick every box. #J-18808-Ljbffr