Data Analyst - Early Intelligence -Energy / Asset Management

Job Description

Data Analyst - Early Intelligence -Energy / Asset Management

Job Summary

The early intelligence energy / asset management data analyst role works with internal and external stakeholders and partners to identify, gather, assimilate datasets for advanced analytics. The analyst will cross functionally with design engineers and sustaining engineers, as well as PV performance engineers. The role will analyze and develop a comprehensive view of operating asset performance, and market dynamics that might create opportunities or risks. The role will provide critical support to provide actionable business analysis to other departments of Array. The ideal candidate will have a strong foundation in Solar PV Energy performance analytics as well as traditional statistical models and machine learning techniques, coupled with hands-on experience in data analytics, LLM development and prompt engineering. We value individuals who take initiative, demonstrate great work ethics, and focus on the overall success of projects.

Key Job Responsibilities

• Strive to proactively gather field data via on site evaluations and interviews with performance engineers, asset managers and O&M operators for early intelligence gathering for product and service maturity development across the organization.
• Establish a schedule to visit project sites and work with external stakeholders to complete audits and assessments, gather relevant data and samples to inform health assessments and continuous improvement initiatives for our products and services.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Gather and validate input data for models, including energy generation, asset management data, resource availability, market trends, and environmental constraints as applicable. Integrate large datasets into the modeling framework. Find available market data and translate data into modeling parameters and maintain version control and documentation of changes.
• Identify, analyze, and interpret trends or patterns in complex data sets with a goal to establish predictive models and deliverable actionable, value-added insights.
• Identify opportunities to automate workflows, reduce manual reporting efforts, and enhance operational efficiency using modern data tools.
• Assist in developing, tracking, and analyzing key performance indicators (KPIs) to support project metrics and strategic decision-making.
• Help develop and maintain standard operating procedures (SOPs) related to strategic analytics, ensuring compliance with internal policies and industry best practices.
• Assist in developing and maintaining dashboards, reports, and analytics tools that streamline workflows and enable visibility into the organization's data assets and finances.
• Perform other duties as assigned.
• This position is based out of our Chandler HQ with up to 40% travel
  
  

Qualifications

• Bachelor’s and/or master’s in electrical engineering, economics, mathematics, or a related quantitative field (data science or data engineering emphasis desired).
• 2 years’ experience in a PV Performance analytics role.
• 3 years’ experience in a data science or data engineering role.
• Strong problem-solving skills and a proactive approach to analytics.
• Excellent teamwork, communication, and initiative in delivering impactful solutions.
  
  

Preferred Qualifications

• Excellent programming skills in common languages (e.g., Python) and packages used by energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high performance computing environments.
• Experience with extracting, transforming, and loading processes and tools for handling large-scale datasets. Strong understanding of machine learning models, statistical analysis, and data science principles.
• Hands-on experience with natural language processing (NLP), Large language Models (LLMs), prompt engineering, and artificial Intelligence (AI) model optimization.
• Knowledge of statistics and experience using statistical packages for analyzing datasets
• Ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on Databricks or similar platforms and platform components (e.g., Snowflake, ML Flow, Airflow, etc.) is a plus
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Comfortable creating data visualizations and deploying them on a company-wide level.
  
  

At Array Tech, Inc., we strive to lead with our culture, and believe that our people are a key enabler of our future state. Our total rewards philosophy supports Array’s ability to attract, develop, and retain our employees. We offer competitive compensation, benefits and wellness programs that align with the local markets where we do business.

Array Tech, Inc. offers equal employment opportunity without regard to race, color, gender, age, creed, sex, religion, national origin, disability (physical or mental), marital status, citizenship, ancestry, sexual orientation, gender identity, and gender expression, or any other legally protected status.