This is a job posting for an Associate Data Analyst at SRP, a large public power and water utility in Arizona. The role involves data analysis to support utility operations, with a salary of around $66,148 CAD. The core demand is for skilled data analysis, which could be partially automated or augmented by AI tools.
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You are a highly skilled data analyst. Your task is to prepare me for an Associate Data Analyst role at SRP, a large power and water utility in Arizona. The role involves analyzing utility-related data. I need to demonstrate strong Python (Pandas, NumPy, Matplotlib), SQL, and data visualization (Tableau/Power BI) skills. Create a plan for me to prepare a portfolio project that would impress SRP, focusing on a dataset relevant to a power/water utility. Assume I have access to public utility data or can simulate it. Outline the data processing steps (ETL, cleaning), analysis, and key visualizations. Specifically, help me design a project on 'Analyzing residential energy consumption patterns for demand forecasting and efficiency recommendations'. Outline the steps to acquire/simulate data, clean it, perform time-series analysis for patterns (daily, weekly, seasonal), identify outliers, and create dashboards with insights for SRP. The final output should be a Jupyter notebook with clean code and explanations, accompanied by a brief summary report highlighting key findings and recommendations, as if presented to SRP stakeholders. Emphasize efficient Python and SQL, and suggest ways AI tools could assist in code generation, debugging, and initial data exploration.
Tempe, Maricopa County · from $66,148. Requisition ID : 20190 Join us in building a better future for Arizona! SRP is one of the largest public power and water utilities in the U.S. providing electricity to approximately one million customers in the greater metropolitan Phoenix area. Since its founding in 1903, SRP has fostered a culture of stewardship and customer service consistently ranking as an industry leader in customer service according to J.D. Power and named one of Arizona's best employers by Forbes. SRP continues to adapt…
Standard for data analysis, including Pandas, NumPy, Matplotlib, Seaborn.
Familiarity with database setup and querying for data analysis.
New: learning specific UI and dashboarding best practices for utility data - ~1 week.
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New: specific terminology, data types, and challenges in power/water utilities - ~1-2 days.
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Apply directly through the Adzuna link (which likely redirects to SRP's careers site), then follow up via LinkedIn with SRP recruiters or data science team members if possible.
“I am a skilled data analyst with a proven ability to leverage AI tools for efficient and accurate insights, and I've developed a portfolio project directly addressing utility data challenges similar to SRP's. My technical skills in Python, SQL, and data visualization, combined with a quick learning curve for domain specifics, make me a strong candidate for your Associate Data Analyst role. I'm eager to discuss how I can contribute to SRP's mission.”
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