Market Analyst Intern
Intersect, San Francisco, CA, United States
We’re a team of friends bound together by a mission to preserve our planet for future generations through innovative energy solutions and modern infrastructure. In December 2025, Google announced an agreement to acquire Intersect, to enable more data center and generation capacity to come online faster while accelerating energy development and innovation. After close, we’ll continue doing exactly what we were built to do – develop, construct, and operate the most ambitious power and data infrastructure in the country.
Intersect’s operations will remain separate from Alphabet and Google under the Intersect brand. We’re on an aggressive growth trajectory and looking for people hungry to tackle the largest energy challenges on the planet.
About This Role
As part of Intersect’s Market Analytics team, you’ll help build the data foundation and insights that power trading and market strategy. This internship offers hands-on experience developing data pipelines, analytical tools, and quantitative research across electricity and natural gas markets. You’ll collaborate closely with analysts and traders to improve internal analytics, automate workflows, and explore emerging market dynamics such as large-scale data center load growth and grid evolution. Team Overview
This team plays a critical role in advancing Intersect’s mission to accelerate the clean energy transition by delivering high-quality market intelligence, analytics, and data infrastructure. The Market Analytics team partners closely with trading, origination, and finance to translate complex market data into actionable insights. By combining strong technical foundations with deep market understanding, the team enables better decision-making, drives efficiency, and supports scalable growth across Intersect’s portfolio. What You’ll Do
Strengthen Data Infrastructure Maintain and support ETL pipelines on Google Cloud Platform to ensure reliable, scalable data workflows Refactor and improve existing data pipelines to increase efficiency, robustness, and maintainability Organize and enhance ETL codebases using best practices in version control and DevOps Build Analytical Tools and Automation Develop automation tools using Python and SQL to improve efficiency for market analytics and trading support Manage and enhance BigQuery SQL queries and Python codebases hosted in GitHub Identify opportunities to streamline workflows and improve data accessibility for internal stakeholders Deliver Market Insights Conduct quantitative analysis across electricity markets (including ERCOT), natural gas markets, and evolving load dynamics Support research into market trends, pricing behavior, and system impacts from large-scale load growth Translate complex datasets into clear, actionable insights for analysts and traders Support Team Execution Assist with data exploration, modeling, and analytical research projects Provide coverage support for team members during PTO periods to ensure continuity of analytics workflows Collaborate cross-functionally to improve transparency and usability of market data Enable Scalable Analytics Practices Contribute to the adoption of coding standards, documentation, and workflow best practices Support continuous improvement of analytics infrastructure and team processes What You’ll Bring
Currently pursuing a Bachelor’s or Master’s degree in Mathematics, Computer Science, Engineering, Data Science, or a related quantitative field Experience with data analysis, quantitative modeling, or market research through coursework, internships, or academic projects Strong programming skills in Python and SQL (especially BigQuery) for data analysis and automation Familiarity with data pipelines, ETL workflows, and version control tools such as GitHub Experience working with large datasets and building analytical models Exposure to Google Cloud Platform, BigQuery, or similar cloud-based data environments will help you ramp quickly Exposure to electricity markets (especially ERCOT), natural gas markets, or energy trading analytics is a plus Familiarity with additional programming languages such as JavaScript or R is helpful Understanding of data visualization, exploratory analysis, and quantitative modeling techniques Intersect maintains a work environment free from discrimination, one where all employees are treated with dignity and respect. All employees share in the responsibility for fulfilling Intersect’s commitment to equal employment opportunity. Intersect does not discriminate against any employee or applicant on the basis of age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by and consistent with applicable local laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. We sometimes use AI-powered note taking tools during interviews to support our team. They’re used only for documentation and don’t replace human judgment.
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As part of Intersect’s Market Analytics team, you’ll help build the data foundation and insights that power trading and market strategy. This internship offers hands-on experience developing data pipelines, analytical tools, and quantitative research across electricity and natural gas markets. You’ll collaborate closely with analysts and traders to improve internal analytics, automate workflows, and explore emerging market dynamics such as large-scale data center load growth and grid evolution. Team Overview
This team plays a critical role in advancing Intersect’s mission to accelerate the clean energy transition by delivering high-quality market intelligence, analytics, and data infrastructure. The Market Analytics team partners closely with trading, origination, and finance to translate complex market data into actionable insights. By combining strong technical foundations with deep market understanding, the team enables better decision-making, drives efficiency, and supports scalable growth across Intersect’s portfolio. What You’ll Do
Strengthen Data Infrastructure Maintain and support ETL pipelines on Google Cloud Platform to ensure reliable, scalable data workflows Refactor and improve existing data pipelines to increase efficiency, robustness, and maintainability Organize and enhance ETL codebases using best practices in version control and DevOps Build Analytical Tools and Automation Develop automation tools using Python and SQL to improve efficiency for market analytics and trading support Manage and enhance BigQuery SQL queries and Python codebases hosted in GitHub Identify opportunities to streamline workflows and improve data accessibility for internal stakeholders Deliver Market Insights Conduct quantitative analysis across electricity markets (including ERCOT), natural gas markets, and evolving load dynamics Support research into market trends, pricing behavior, and system impacts from large-scale load growth Translate complex datasets into clear, actionable insights for analysts and traders Support Team Execution Assist with data exploration, modeling, and analytical research projects Provide coverage support for team members during PTO periods to ensure continuity of analytics workflows Collaborate cross-functionally to improve transparency and usability of market data Enable Scalable Analytics Practices Contribute to the adoption of coding standards, documentation, and workflow best practices Support continuous improvement of analytics infrastructure and team processes What You’ll Bring
Currently pursuing a Bachelor’s or Master’s degree in Mathematics, Computer Science, Engineering, Data Science, or a related quantitative field Experience with data analysis, quantitative modeling, or market research through coursework, internships, or academic projects Strong programming skills in Python and SQL (especially BigQuery) for data analysis and automation Familiarity with data pipelines, ETL workflows, and version control tools such as GitHub Experience working with large datasets and building analytical models Exposure to Google Cloud Platform, BigQuery, or similar cloud-based data environments will help you ramp quickly Exposure to electricity markets (especially ERCOT), natural gas markets, or energy trading analytics is a plus Familiarity with additional programming languages such as JavaScript or R is helpful Understanding of data visualization, exploratory analysis, and quantitative modeling techniques Intersect maintains a work environment free from discrimination, one where all employees are treated with dignity and respect. All employees share in the responsibility for fulfilling Intersect’s commitment to equal employment opportunity. Intersect does not discriminate against any employee or applicant on the basis of age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by and consistent with applicable local laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. We sometimes use AI-powered note taking tools during interviews to support our team. They’re used only for documentation and don’t replace human judgment.
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