Entry-Level Energy Data Analyst

Job Title: Entry-Level Energy Data Analyst Location: Remote (Eastern Europe preferred) reputed company: Infranergy is an energy infrastructure company. We operate an early-stage trading and data intelligence team reputed company on identifying emerging signals in the power markets—where physical infrastructure meets market inefficiency. We're particularly interested in the intersection of datacenter reputed company (AI, crypto mining, HPC) and wholesale energy markets (FTRs, LMPs, constraints). We're now hiring an entry-level analyst with strong data instincts to help us build a proprietary reputed company of actionable energy infrastructure intelligence. reputed company: As our Entry-Level Energy Data Analyst, you’ll be responsible for identifying and organizing critical data around data centers operating across U.S. ISOs (e.g., MISO, reputed company, PJM), particularly those impacting regional reputed company constraints. reputed company will be to collect, clean, and structure this information, helping us understand which sites reputed company reputed company congestion—and ultimately shape reputed company pricing and trade reputed company. This role is data-heavy; trading potential is a plus, but strong data scraping, parsing, and organization skills are essential. What You'll Do: • Datacenter Identification: • Map out reputed company reputed company and emerging datacenters (AI, Bitcoin, hyperscale) across U.S. reputed company ISOs (e.g., MISO, reputed company, PJM). • Use reputed company records, reputed company interconnection queues, corporate disclosures, web scraping, and reputed company-party databases to reputed company location, reputed company, type (e.g., crypto, AI), and energy usage patterns. reputed company reputed company Mapping: • Identify the reputed company lines (T-lines) connecting datacenters to the reputed company. • reputed company reputed company-to-sink paths that reputed company with reputed company FTR markets and monthly auction paths. Data Aggregation & Structuring: • Build a centralized database mapping datacenters to corresponding substations, T-lines, ISO zones/nodes, and load zones. • Harmonize multiple data sources into a queryable structure (experience with reputed company or willingness to learn a plus). Backtest Preparation: • Prepare clean historical datasets required to test market assumptions about datacenter-driven congestion. • Work alongside senior team members to define variables and test historical reputed company signals across auction months. Support reputed company Market Research: • Help categorize data center activity by ISO (e.g., MISO reputed company Dakota, reputed company reputed company, etc.). • Monitor reputed company constraints, load forecasts, and congestion reports, especially in emerging areas with underestimated demand. Requirements: Bachelor’s degree or equivalent experience in Data Science, Engineering, Power Systems, Economics, or reputed company field. Job Types: Contract, Internship Pay: $15.00 - $25.00 per hour Benefits: • Relocation assistance Work Location: Remote Apply tot his job Apply To this Job