Power Analyst, ERCOT
for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We must preserve all substantive information, not invent or summarize away detail. Must not omit details. That's a lot; we need to include all bullet points from responsibilities, requirements, qualifications, skills, benefits.
We need to parse the posting.
Let's extract sections:
First paragraph: "Turn complex ERCOT market data into insights that move decisions.We’re looking for a Power Analyst to join us in analyzing one of the most dynamic power markets out there. You’ll work at the intersection of mathematics, data, and electricity markets, using quantitative models and large-scale datasets to understand what drives prices, congestion, generation, demand, and volatility across ERCOT.You’ll get close to the market and turn complex system conditions into clear, data-driven insights that support forecasting, planning, and decision-making."
That's about the role. Could be About the role.
Then "What you’ll do" list of responsibilities.
Then "Your Team" paragraph about team.
Then "What you bring" list of qualifications/requirements.
Then "How you work" paragraph about work style.
Then "What you can expect from us:" paragraph about onboarding, autonomy, culture.
Then "Benefits:" list.
Then "About InCommodities – North America" paragraph about company.
Then "Our culture" paragraph.
We need to map to sections.
About the role: combine the initial description and maybe the "Your Team" paragraph? But "Your Team" could be part of About the role or separate. The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should follow those headings.
Thus:
About the role: description of role, maybe include "You’ll work at the intersection..." and "You’ll get close to the market..." and maybe also the team description? But team could be part of About the role as well. However we have a separate "Your Team" paragraph; we could include that under About the role as prose.
Responsibilities: the bullet list under "What you’ll do". Need to capture each bullet.
Requirements: maybe education requirement? The "What you bring" includes education: bachelor’s degree or higher in ...; Master of Financial Engineering preferred. That's a requirement.
Qualifications: maybe the "How you work" paragraph? Or the "What you can expect from us:"? Actually qualifications could be the skills/experience needed beyond education. But we have separate Skills heading for tools. The posting also mentions "You have strong knowledge of advanced mathematics, probability and statistics, statistical inference, regression analysis, time-series analysis, and forecasting" etc. That's qualifications.
We need to decide mapping: Requirements could be education; Qualifications could be knowledge/experience; Skills could be tools proficiency.
But we must not create thin sections; we need substantive content.
Let's extract:
Education requirement: "You have a bachelor’s degree or higher in Mathematics, Applied Mathematics, Statistics, Computational Mathematics, Operations Research, Data Science, or a closely related quantitative discipline; a Master of Financial Engineering is preferred"
That's a requirement.
Qualifications: list of knowledge: "strong knowledge of advanced mathematics, probability and statistics, statistical inference, regression analysis, time-series analysis, and forecasting"; "experience with mathematical modeling, numerical methods, optimization, operations research, or computational mathematics"; "strong quantitative and analytical skills and can work confidently with large, complex datasets"; "proficiency in one or more quantitative tools such as Python, SQL, C++, advanced Excel, statistical modeling software, optimization libraries, or data visualization tools"; "understanding of electricity-market analysis, power-system modeling concepts, and wholesale energy markets"; "knowledge of ERCOT market structure and operating data". Some of these overlap with skills.
Skills: maybe the tools: Python, SQL, C++, advanced Excel, statistical modeling software, optimization libraries, data visualization tools.
But we already have proficiency in tools listed under qualifications. Could combine.
Better: Requirements: education. Qualifications: knowledge/experience (math, stats, modeling, quantitative skills, market understanding). Skills: specific tools (Python, SQL, C++, advanced Excel, statistical modeling software, optimization libraries, data visualization tools). Benefits: list. Schedule: flexible working hours and hybrid work schedule.
We also have "How you work" paragraph describing analytical approach, ownership, questioning assumptions, precision, curiosity, communication, collaboration. That could be part of Qualifications or maybe a separate section like "Work style". But not in allowed headings. Could incorporate into Qualifications as prose.
We also have "What you can expect from us:" paragraph about onboarding, autonomy, culture, events, growth. That could be part of Benefits? But benefits already list tangible benefits. Could be part of About the role? Might be better to include under About the role as prose about company culture. But we already have About InCommodities section. However we are not allowed to create headings not in list. So we must fit that content somewhere allowed: maybe under About the role (as description of team and culture) or under Benefits (as intangible benefits). But Benefits heading is for tangible benefits; but we could still include culture description there? Might be okay but risk of being considered filler. Better to include under About the role as prose describing the team and culture.
Thus About the role will include: initial role description, team description, company description, culture, what you can expect.
But we must not repeat job title. OK.
Now we need to ensure we preserve all substantive information. That's a lot; we need to include every bullet point from responsibilities, every bullet from qualifications, etc.
Let's list all substantive content from posting:
From "What you’ll do" (responsibilities):
- develop and apply mathematical and statistical models to analyze ERCOT market data, including generation, demand, prices, congestion, outages, and ancillary services
- analyze historical and real-time market data to uncover trends, relationships, anomalies, and changes in market behavior
- build forecasting models for demand, generation availability, market prices, congestion, and other relevant market variables
- apply statistics, regression, time-series analysis, probability theory, numerical methods, and optimization to evaluate power-market conditions
- develop quantitative models and algorithms to assess generation dispatch, transmission constraints, resource availability, and congestion
- run scenario, sensitivity, and what-if analyses to understand the impact of changes in load, generation, transmission availability, outages, and other market conditions
- analyze market outcomes to identify the drivers behind price volatility, congestion, scarcity conditions, and other ERCOT market events
- process and analyze large datasets using tools such as Python, SQL, C++, and Excel
- automate analytical processes, data pipelines, models, and visualizations to make our analysis faster, stronger, and more reproducible
- validate models against historical ERCOT market and system data, investigate discrepancies, and quantify uncertainty in your results
- turn complex quantitative findings into clear reports, dashboards, presentations, and actionable insights for technical and business stakeholders
- collaborate with analysts, engineers, economists, data scientists, and other colleagues to develop and challenge analytical methodologies
From "Your Team":
- You’ll work alongside colleagues who combine deep domain knowledge, analytical skills, and a strong understanding of ever-changing energy markets. It’s a collaborative setup where data, models, and market expertise come together to solve complex challenges.
- Expect autonomy, fast feedback loops, and colleagues who’ll challenge your thinking while helping you develop your understanding of ERCOT and power markets.
- We share knowledge openly, question assumptions, and work together to turn analysis into impact.
From "What you bring" (requirements/qualifications):
- You have a bachelor’s degree or higher in Mathematics, Applied Mathematics, Statistics, Computational Mathematics, Operations Research, Data Science, or a closely related quantitative discipline; a Master of Financial Engineering is preferred
- You have strong knowledge of advanced mathematics, probability and statistics, statistical inference, regression analysis, time-series analysis, and forecasting
- You have experience with mathematical modeling, numerical methods, optimization, operations research, or computational mathematics
- You have strong quantitative and analytical skills and can work confidently with large, complex datasets
- You have proficiency in one or more quantitative tools such as Python, SQL, C++, advanced Excel, statistical modeling software, optimization libraries, or data visualization tools
- You have an understanding of electricity-market analysis, power-system modeling concepts, and wholesale energy markets
- You have knowledge of ERCOT market structure and operating data
From "How you work":
- You approach complex problems analytically and use data to get to the right answer
- You take ownership of your analysis, from selecting the methodology to validating and communicating the results
- You question assumptions – including your own – and investigate when the numbers don’t add up
- You care about precision, reliability, and the quality of your models because your work supports real decisions
- You’re curious and eager to deepen your market expertise and technical mastery
- You communicate complex quantitative findings clearly to both technical and business stakeholders
- You collaborate openly, challenge ideas constructively, and play for the team
From "What you can expect from us:":
- You’ll join with a steep learning curve supported by a thorough onboarding program that sets you up for success from day one.
- From there, you’ll enjoy a high level of autonomy, working alongside exceptional colleagues who are bold, honest, ambitious, and among the smartest in their fields.
- Our culture is unique—we live our values of Honesty, Transparency, and Rethink, and we do it without rigid hierarchies or dress codes.
- Along the way, you’ll take part in great events, both within your team and across the organization, and you’ll have the chance to grow on both a professional and personal level.
From "Benefits:" list:
- Flexible working hours and hybrid work schedule
- Medical, Dental, Vision, STD, LTD, Life insurance, all with employer contributions
- 401k with employer matching
- Parental leave including paid and unpaid options
- Generous PTO policy and paid holidays
- Monthly Door Dash allowance and snacks and drinks at the office
- Internet and optional cellphone reimbursement
From "About InCommodities – North America":
- We’re InCommodities North America – and we’re building the full energy trading value chain across US power and gas.
- We’ve been trading power in US markets since 2020. Now we’re scaling up – expanding into gas, growing our local teams, and opening new offices across the US.
- What sets us apart is our EnergyTech edge. We combine deep market expertise with advanced technology, quantitative models, and a data-driven mindset to trade smarter, faster, and at scale. That’s how we move energy where it’s needed, 24/7/365 – and why we attract ambitious people who want to rethink the future of energy trading.
- Our culture is simple: entrepreneurial, flat, and hands-on. You’ll get autonomy and trust from day one – and the responsibility to make an impact. We value initiative over titles, thrive in change, and back each other in building one of the most ambitious energy trading companies
for prose. We must preserve all substantive information, not invent or summarize away detail. Must not omit details. That's a lot; we need to include all bullet points from responsibilities, requirements, qualifications, skills, benefits. We need to parse the posting. Let's extract sections: First paragraph: "Turn complex ERCOT market data into insights that move decisions.We’re looking for a Power Analyst to join us in analyzing one of the most dynamic power markets out there. You’ll work at the intersection of mathematics, data, and electricity markets, using quantitative models and large-scale datasets to understand what drives prices, congestion, generation, demand, and volatility across ERCOT.You’ll get close to the market and turn complex system conditions into clear, data-driven insights that support forecasting, planning, and decision-making." That's about the role. Could be About the role. Then "What you’ll do" list of responsibilities. Then "Your Team" paragraph about team. Then "What you bring" list of qualifications/requirements. Then "How you work" paragraph about work style. Then "What you can expect from us:" paragraph about onboarding, autonomy, culture. Then "Benefits:" list. Then "About InCommodities – North America" paragraph about company. Then "Our culture" paragraph. We need to map to sections. About the role: combine the initial description and maybe the "Your Team" paragraph? But "Your Team" could be part of About the role or separate. The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should follow those headings. Thus: About the role: description of role, maybe include "You’ll work at the intersection..." and "You’ll get close to the market..." and maybe also the team description? But team could be part of About the role as well. However we have a separate "Your Team" paragraph; we could include that under About the role as prose. Responsibilities: the bullet list under "What you’ll do". Need to capture each bullet. Requirements: maybe education requirement? The "What you bring" includes education: bachelor’s degree or higher in ...; Master of Financial Engineering preferred. That's a requirement. Qualifications: maybe the "How you work" paragraph? Or the "What you can expect from us:"? Actually qualifications could be the skills/experience needed beyond education. But we have separate Skills heading for tools. The posting also mentions "You have strong knowledge of advanced mathematics, probability and statistics, statistical inference, regression analysis, time-series analysis, and forecasting" etc. That's qualifications. We need to decide mapping: Requirements could be education; Qualifications could be knowledge/experience; Skills could be tools proficiency. But we must not create thin sections; we need substantive content. Let's extract: Education requirement: "You have a bachelor’s degree or higher in Mathematics, Applied Mathematics, Statistics, Computational Mathematics, Operations Research, Data Science, or a closely related quantitative discipline; a Master of Financial Engineering is preferred" That's a requirement. Qualifications: list of knowledge: "strong knowledge of advanced mathematics, probability and statistics, statistical inference, regression analysis, time-series analysis, and forecasting"; "experience with mathematical modeling, numerical methods, optimization, operations research, or computational mathematics"; "strong quantitative and analytical skills and can work confidently with large, complex datasets"; "proficiency in one or more quantitative tools such as Python, SQL, C++, advanced Excel, statistical modeling software, optimization libraries, or data visualization tools"; "understanding of electricity-market analysis, power-system modeling concepts, and wholesale energy markets"; "knowledge of ERCOT market structure and operating data". Some of these overlap with skills. Skills: maybe the tools: Python, SQL, C++, advanced Excel, statistical modeling software, optimization libraries, data visualization tools. But we already have proficiency in tools listed under qualifications. Could combine. Better: Requirements: education. Qualifications: knowledge/experience (math, stats, modeling, quantitative skills, market understanding). Skills: specific tools (Python, SQL, C++, advanced Excel, statistical modeling software, optimization libraries, data visualization tools). Benefits: list. Schedule: flexible working hours and hybrid work schedule. We also have "How you work" paragraph describing analytical approach, ownership, questioning assumptions, precision, curiosity, communication, collaboration. That could be part of Qualifications or maybe a separate section like "Work style". But not in allowed headings. Could incorporate into Qualifications as prose. We also have "What you can expect from us:" paragraph about onboarding, autonomy, culture, events, growth. That could be part of Benefits? But benefits already list tangible benefits. Could be part of About the role? Might be better to include under About the role as prose about company culture. But we already have About InCommodities section. However we are not allowed to create headings not in list. So we must fit that content somewhere allowed: maybe under About the role (as description of team and culture) or under Benefits (as intangible benefits). But Benefits heading is for tangible benefits; but we could still include culture description there? Might be okay but risk of being considered filler. Better to include under About the role as prose describing the team and culture. Thus About the role will include: initial role description, team description, company description, culture, what you can expect. But we must not repeat job title. OK. Now we need to ensure we preserve all substantive information. That's a lot; we need to include every bullet point from responsibilities, every bullet from qualifications, etc. Let's list all substantive content from posting: From "What you’ll do" (responsibilities): - develop and apply mathematical and statistical models to analyze ERCOT market data, including generation, demand, prices, congestion, outages, and ancillary services - analyze historical and real-time market data to uncover trends, relationships, anomalies, and changes in market behavior - build forecasting models for demand, generation availability, market prices, congestion, and other relevant market variables - apply statistics, regression, time-series analysis, probability theory, numerical methods, and optimization to evaluate power-market conditions - develop quantitative models and algorithms to assess generation dispatch, transmission constraints, resource availability, and congestion - run scenario, sensitivity, and what-if analyses to understand the impact of changes in load, generation, transmission availability, outages, and other market conditions - analyze market outcomes to identify the drivers behind price volatility, congestion, scarcity conditions, and other ERCOT market events - process and analyze large datasets using tools such as Python, SQL, C++, and Excel - automate analytical processes, data pipelines, models, and visualizations to make our analysis faster, stronger, and more reproducible - validate models against historical ERCOT market and system data, investigate discrepancies, and quantify uncertainty in your results - turn complex quantitative findings into clear reports, dashboards, presentations, and actionable insights for technical and business stakeholders - collaborate with analysts, engineers, economists, data scientists, and other colleagues to develop and challenge analytical methodologies From "Your Team": - You’ll work alongside colleagues who combine deep domain knowledge, analytical skills, and a strong understanding of ever-changing energy markets. It’s a collaborative setup where data, models, and market expertise come together to solve complex challenges. - Expect autonomy, fast feedback loops, and colleagues who’ll challenge your thinking while helping you develop your understanding of ERCOT and power markets. - We share knowledge openly, question assumptions, and work together to turn analysis into impact. From "What you bring" (requirements/qualifications): - You have a bachelor’s degree or higher in Mathematics, Applied Mathematics, Statistics, Computational Mathematics, Operations Research, Data Science, or a closely related quantitative discipline; a Master of Financial Engineering is preferred - You have strong knowledge of advanced mathematics, probability and statistics, statistical inference, regression analysis, time-series analysis, and forecasting - You have experience with mathematical modeling, numerical methods, optimization, operations research, or computational mathematics - You have strong quantitative and analytical skills and can work confidently with large, complex datasets - You have proficiency in one or more quantitative tools such as Python, SQL, C++, advanced Excel, statistical modeling software, optimization libraries, or data visualization tools - You have an understanding of electricity-market analysis, power-system modeling concepts, and wholesale energy markets - You have knowledge of ERCOT market structure and operating data From "How you work": - You approach complex problems analytically and use data to get to the right answer - You take ownership of your analysis, from selecting the methodology to validating and communicating the results - You question assumptions – including your own – and investigate when the numbers don’t add up - You care about precision, reliability, and the quality of your models because your work supports real decisions - You’re curious and eager to deepen your market expertise and technical mastery - You communicate complex quantitative findings clearly to both technical and business stakeholders - You collaborate openly, challenge ideas constructively, and play for the team From "What you can expect from us:": - You’ll join with a steep learning curve supported by a thorough onboarding program that sets you up for success from day one. - From there, you’ll enjoy a high level of autonomy, working alongside exceptional colleagues who are bold, honest, ambitious, and among the smartest in their fields. - Our culture is unique—we live our values of Honesty, Transparency, and Rethink, and we do it without rigid hierarchies or dress codes. - Along the way, you’ll take part in great events, both within your team and across the organization, and you’ll have the chance to grow on both a professional and personal level. From "Benefits:" list: - Flexible working hours and hybrid work schedule - Medical, Dental, Vision, STD, LTD, Life insurance, all with employer contributions - 401k with employer matching - Parental leave including paid and unpaid options - Generous PTO policy and paid holidays - Monthly Door Dash allowance and snacks and drinks at the office - Internet and optional cellphone reimbursement From "About InCommodities – North America": - We’re InCommodities North America – and we’re building the full energy trading value chain across US power and gas. - We’ve been trading power in US markets since 2020. Now we’re scaling up – expanding into gas, growing our local teams, and opening new offices across the US. - What sets us apart is our EnergyTech edge. We combine deep market expertise with advanced technology, quantitative models, and a data-driven mindset to trade smarter, faster, and at scale. That’s how we move energy where it’s needed, 24/7/365 – and why we attract ambitious people who want to rethink the future of energy trading. - Our culture is simple: entrepreneurial, flat, and hands-on. You’ll get autonomy and trust from day one – and the responsibility to make an impact. We value initiative over titles, thrive in change, and back each other in building one of the most ambitious energy trading companies