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Seasonal Python Sql Jobs (NOW HIRING)

Gunvor

Power Analyst

Houston, TX · On-site

... seasonal spreads, and inter-zonal relationships. Modeling & Tool Development * Build and maintain fundamental dashboards, price forecasting models, and supply-demand trackers using Python, SQL, R, or ...

Gunvor

Power Analyst

Houston, TX

... seasonal spreads, and inter-zonal relationships. Modeling & Tool Development * Build and maintain fundamental dashboards, price forecasting models, and supply-demand trackers using Python, SQL, R, or ...

Tishman Speyer

Associate, Analytics & Insights

Manhattan, NY · On-site

$125K - $135K/yr

... seasonal programming, and shopping for all ages. It's also home to some of the city's most sought ... Use Python, SQL, and/or automation tools to streamline reporting and analysis. * Leverage AI tools ...

Compeer Financial

Quantitative Analyst

Lakeville, MN · Hybrid

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated ... Python, SQL), data query tools to build test, evaluate, organize and analyze large, diverse and ...

Compeer Financial

Quantitative Analyst

Mankato, MN · Hybrid

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated ... Python, SQL), data query tools to build test, evaluate, organize and analyze large, diverse and ...

Compeer Financial

Quantitative Analyst

Bloomington, IL · On-site

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated ... Python, SQL), data query tools to build test, evaluate, organize and analyze large, diverse and ...

Keter North America

Demand Planner

Atlanta, GA · On-site

... seasonal items like deck boxes and sheds. This role drives supply chain efficiency by leveraging ... Specify expertise in Excel/Access, Power BI, Python, SQL a plus * Include adaptability, multi ...

Keter North America

Demand Planner

Atlanta, GA · On-site

... seasonal items like deck boxes and sheds. This role drives supply chain efficiency by leveraging ... Specify expertise in Excel/Access, Power BI, Python, SQL a plus * Include adaptability, multi ...

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As of May 29, 2026, the average hourly pay for seasonal python sql in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
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Seasonal Python Sql jobs near you

Power Analyst

Gunvor

Houston, TX • On-site

Full-time

Posted 26 days ago

Job description

Job Title:
Power Analyst
Contract Type:
Permanent
Time Type:
Full time
Job Description:
ROLE OVERVIEW
The Power Analyst provides fundamental research and market intelligence directly supporting the East Power Desk. The role centers on supply-demand analysis, price formation, and generation and load dynamics across Eastern interconnect markets. The analyst will develop and maintain the fundamental views that inform trading decisions, build analytical tools that sharpen the team's market read, and serve as a key research resource for the East Power desk.
Key Responsibilities
Fundamental Research & Market Coverage
  • Develop and maintain fundamental views on Eastern interconnect power markets, covering PJM, MISO, NYISO, and ISO-NE supply-demand dynamics, seasonal outlooks, and price drivers.
  • Analyze load patterns, weather impacts, and demand trends across key Eastern regions to support the trading desk's positioning and market read.
  • Track thermal and renewable generation fleet conditions - outage schedules, capacity additions, retirements, and fuel cost dynamics - and assess their impact on regional power prices.
  • Monitor hydro conditions, nuclear availability, and storage penetration in Eastern markets and integrate these into ongoing fundamental views.
  • Synthesize fuel market fundamentals (natural gas, coal) and their pass-through effects on power price formation across Eastern hubs and zones.

Trading Desk Support
  • Serve as the primary research resource for the Head Trader, delivering timely, actionable fundamental analysis ahead of key market windows.
  • Prepare daily, weekly, and seasonal market summaries that frame supply-demand balances, price risks, and notable developments across Eastern markets.
  • Identify emerging themes - generation mix shifts, extreme weather setups, regulatory developments, transmission upgrades - that may create trading opportunities or risks for the East Power desk.
  • Support trade idea generation by providing the fundamental context behind forward price curves, seasonal spreads, and inter-zonal relationships.

Modeling & Tool Development
  • Build and maintain fundamental dashboards, price forecasting models, and supply-demand trackers using Python, SQL, R, or Excel/VBA.
  • Leverage datasets from ISO portals, EIA, Yes Energy, and proprietary sources to support ongoing fundamental research and scenario analysis.
  • Apply statistical techniques to identify seasonal patterns, weather relationships, and structural drivers of Eastern power prices.
  • Collaborate with data engineering to improve data pipelines and automate recurring research workflows.

Qualifications
Education
Bachelor's degree in Finance, Economics, Engineering, Mathematics, Physics, Data Science, or a related quantitative discipline.
Experience
2-5 years in energy markets, trading analytics, system operations, or fundamental power research.
Technical Skills
Strong modeling skills with proficiency in Excel and at least one programming language: Python, SQL, R, MATLAB, or C++. Familiarity with YES Energy, ISO portals, or market data platforms is an asset.
Tools & Platforms
Experience with visualization tools (Power BI, Tableau) preferred. Exposure to optimal power flow tools such as PROMOD, AURORA, DAYZER, or UPLAN-NPM is a plus.
Communication
Strong ability to translate complex analysis into actionable insights for traders and stakeholders. High attention to detail and intellectual curiosity about power markets.
Work Style
Ability to work independently while collaborating effectively within a fast-paced trading team. Comfortable navigating ambiguous, dynamic market environments.
If you think the open position you see is right for you, we encourage you to apply!
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