Senior Analyst, Asset Performance (2312371)

Increase asset performance transparency across the Americas region and secure data integrity for renewable energy operations. Develop tools to analyze the performance of operating assets (onshore wind, offshore wind, solar, and battery storage) through effective data management. Support the design and implementation of key metrics to identify performance improvement opportunities. Utilize and maintain tools on data platforms to facilitate analysis with focus on anomaly detections as well as monitoring financial performance of assets. Build reliable data pipelines using Python and SQL to extract, load, and transform large time-series datasets in data platforms like Databricks. Utilize up-to-date technology to improve efficiency of existing tools and accommodate increasing data demand from an expanding asset portfolio. Develop, report, and manage implementation of new metrics, algorithms, and indicators for renewable assets. Refine and optimize processes in relation to internal and external reporting deliverables. Design and maintain Excel templates, Python scripts, Power BI dashboards and paginated reports to automate periodic reports/invoice preparation. Review and validate settlement mechanism in power purchase agreement (PPA) based on data availability and mathematical logic. Estimate downtime lost revenue based on various revenue streams and PPA structures. Use Azure DevOps to systematically classify internal learnings and manage projects. Requires up to 10% domestic/foreign travel. Masters degree (or foreign equivalent) in engineering, economics, computer science, mathematics, or related field; plus 1 year of experience in job offered or similar occupation in energy industry. Bachelors degree plus 3 years of relevant experience accepted in the alternative. Knowledge of U.S. energy industry, including electricity markets, statistical methods, and economic models. Experience with asset performance monitoring, version control tools (Git), data visualization tools (Power BI and Tableau), Python, R, and SQL. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference #2312371 in the subject line.

Thank you.