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At AES, our mission is to lead the energy sector into a sustainable future using renewable resources. As a global pioneer in clean energy, we are committed to innovating through data-driven solutions. By joining our Clean Energy Digital Analytics Team, you\'ll become part of a forward-thinking group dedicated to operational excellence and environmental sustainability.
Summary of the position:
As the Lead Analyst for Automation, you are pivotal in driving AES toward our goal of global leadership in renewable energy. Reporting to the Clean Energy Digital Analytics Manager, your role focuses on automating processes, developing applications for data analytics platforms, and integrating various applications via APIs. Your expertise in automation will enhance operational efficiency and foster innovation in clean energy solutions.
Duties and Responsibilities:
Develop and lead initiatives to automate repetitive data processes, improving efficiency and accuracy across the business.
Design and deploy applications on data analytics platforms that support strategic objectives and are part of the Clean Energy Digital Data & Analytics operating model.
Integrate various applications via APIs and utilize different tools and techniques to enhance data accessibility and utility.
Collaborate cross-functionally to identify automation opportunities and implement scalable automation solutions.
Serve as a subject matter expert in automation and application development, advising the Digital Analytics team on best practices and innovative approaches.
Ensure alignment of automation projects with business objectives, adhering to global digital standards and operating models established by the leadership.
Qualifications and Experience:
Bachelor\'s degree in computer science, Engineering, or a related field; a Postgraduate degree in a related field is highly preferred.
Minimum of 5 years of experience in automation, application development, or a related field.
Strong proficiency in programming languages used in automation and data science (e.g., Python, R, Scala, Java) and experience with API management.
Proven experience in developing and deploying applications in cloud computing platforms (Google Cloud Platform preferred).
Experience with Alteryx, Pyramid Analytics and similar highly preferred.
Availability to travel as needed.
The expected salary for this position, at commencement of employment, is between $100,000 and $127,500/Annual; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements such as annual bonus, in addition to a full range of medical, dental, vision, life, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an \"at-will position\" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in
