Retail Business Analyst at Gridmatic

Texas, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail Energy, Power MarketsIndustries

Requirements

Bachelors degree in a technical field (e.g., Engineering, Data Science, Mathematics etc.)
Ability to analyze and summarize data
Ability to produce visualizations and dashboards that demonstrate analysis conclusions
Experience with data extraction and manipulation (SQL, BigQuery, Jupyter, or Python)
Inexhaustible attention to detail
Proficient in Microsoft Excel and PowerPoint
Excellent communication and teamwork skills
Self-starter with excellent judgment, integrity, reliability and competency
Strong analytical and problem-solving skills
Experience in, or a strong desire to learn, the Retail Power industry
Experience and/or knowledge of retail energy markets (ERCOT and/or PJM) is a plus but not required
Ability to multi-task and adjust priorities to meet deadlines

Responsibilities

Track business performance on a day-to-day and month-to-month basis across a variety of financial, operational, and other metrics
Assist in preparation of month-end financial and non-financial performance analysis
Review retail energy forecasts on a daily basis, ensuring consistency and accuracy
Analyze contract pricing assumptions and actualization
Assist with ad-hoc projects, as applicable
Review and analyze GridmaticRetail’s performance across a variety of financial and non-financial metrics (load forecasting, supply procurement, revenue and OPEX, market/ISO activities, hedging activities and associated PnL implications, sales performance, and others)
Summarize and assess business unit performance as part of the month-end process, bringing clarity and transparency to activities
Work across the Retail Business, engaging the Supply, Sales, Operations, and Finance teams to ensure data and results are accurate, clear, and consistent

Skills

SQL

BigQuery

Jupyter

Python

Excel

PowerPoint

data analysis

visualizations

dashboards

financial analysis

load forecasting

Gridmatic

AI-driven optimization for renewable energy assets

About Gridmatic

Gridmatic uses artificial intelligence to improve the performance and profitability of renewable energy assets. It serves renewable energy generators by predicting energy prices and managing risks, while helping storage operators optimize revenue and minimize non-performance risks. For consumers, Gridmatic aims to lower energy costs and support renewable energy procurement. The company stands out by combining advanced algorithms with market expertise to modernize energy markets and contribute to decarbonization.

Cupertino, CaliforniaHeadquarters

2020Year Founded

$5.8MTotal Funding

EARLY_VCCompany Stage

Energy, AI & Machine LearningIndustries

11-50Employees

Benefits

Hybrid Work Options

Flexible Work Hours

Risks

Increased competition from AI-driven energy optimization companies may erode market share.

Regulatory changes in Texas could impact operations as a Retail Electric Provider.

Cybersecurity threats to AI systems pose risks to data integrity and reliability.

Differentiation

Gridmatic uses AI to optimize renewable energy asset performance and profitability.

The company offers tolling, offtake, and supply contracts for clean energy assets.

Gridmatic is a licensed Retail Electric Provider in Texas, enhancing market credibility.

Upsides

Increased interest in AI-driven energy solutions boosts partnerships with energy providers.

The Inflation Reduction Act offers tax incentives, enhancing Gridmatic's financial attractiveness.

Advancements in battery technology improve storage efficiency, aligning with Gridmatic's focus.

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