What are the responsibilities and job description for the Financial Analyst Intern at Regala AI position at Berkeley Industrial Engineering & Operations Research?
Financial Analyst Intern
About Skarmy
What if anyone could turn an idea into a real company?
We are Skarmy. We are building the AI company builder: a platform that helps people go from idea to product, brand, launch, customers, operations, and growth.
We are a lean team in San Francisco, in person, every day.
We are hiring aggressively.
Backed by Pareto Holdings and early-stage angels, including investors who were early in Mercury, Ramp, Deel, and 50 other unicorns.
The Role
The next generation of companies will not be built with bloated teams and messy spreadsheets.
They will be built by small teams, AI agents, and people who understand the numbers behind every decision.
This is not a role where you make random models, polish decks, and wait for someone to ask for a report.
You help Skarmy understand the business from the inside out: revenue, costs, runway, pricing, usage, customer behavior, growth channels, margins, and operating leverage.
You are half financial analyst, half startup operator. You can build models, find insights, ask sharp questions, and turn messy company data into decisions.
This role is for someone who wants to be close to finance, strategy, product, growth, and company-building at the same time.
What You Will Own
Financial modeling. Build and maintain models for revenue, costs, runway, hiring plans, pricing, burn, margins, and growth scenarios.
Startup finance. Help track how Skarmy spends, earns, grows, and allocates capital across product, engineering, growth, operations, and hiring.
Business analytics. Analyze user behavior, activation, retention, conversion, usage, customer segments, and growth channels.
Pricing strategy. Help think through Skarmy’s pricing, packaging, paid plans, usage-based pricing, and customer willingness to pay.
Investor materials. Support fundraising prep, investor updates, metrics snapshots, financial summaries, market research, and strategic narratives.
Operating dashboards. Build dashboards that help the team understand what is working, what is broken, and what needs attention.
Market research. Study AI startups, company-building platforms, agent products, vertical SaaS, consumer/prosumer tools, and startup tooling markets.
Unit economics. Help analyze CAC, payback, LTV, gross margin, infrastructure costs, model costs, support costs, and customer profitability.
Decision support. Work with founders and team leads to turn data into decisions around hiring, product roadmap, GTM, pricing, and capital allocation.
Shipping velocity. This is not fake analyst work. You will work on real numbers, real company decisions, real investor materials, and real operating systems.
What We Are Looking For
You are strong with numbers. You can work in spreadsheets, build models, analyze data, and explain what matters.
You care about startups, not just finance. You want to understand how a company actually gets built.
You are analytical but practical. You do not just make beautiful models. You help people make better decisions.
You are comfortable with ambiguity. Early-stage startup data is messy. Your job is to create clarity.
You have high agency. You do not wait around for permission.
You communicate clearly. You can summarize a model, explain a metric, write an investor update, or turn messy data into a simple recommendation.
You are unusually good at something. Maybe you invest personally, built a startup model, ran finance for a club, analyzed companies for fun, worked on a fund, built dashboards, or obsessed over how great companies grow.
Bonus
You have experience with startups, venture capital, investment banking, private equity, consulting, accounting, FP&A, or business operations.
You have built financial models for startups before.
You understand SaaS metrics, AI infrastructure costs, usage-based pricing, or marketplace economics.
You are comfortable with Excel, Google Sheets, SQL, Python, Notion, Airtable, or BI tools.
You follow AI companies, venture markets, startup funding, and technology trends.
You are good at making complicated numbers feel simple.
How We Work
We work five to six days a week at the office.
We move fast, talk to users constantly, ship aggressively, and care about making Skarmy feel magical.
We go out, decompress, and are human. We really love concerts, KBBQs, founder dinners, and strange experiments.
The rest of the time, we are building.
By applying, you agree to sign up for the Skarmy.
About Skarmy
What if anyone could turn an idea into a real company?
We are Skarmy. We are building the AI company builder: a platform that helps people go from idea to product, brand, launch, customers, operations, and growth.
We are a lean team in San Francisco, in person, every day.
We are hiring aggressively.
Backed by Pareto Holdings and early-stage angels, including investors who were early in Mercury, Ramp, Deel, and 50 other unicorns.
The Role
The next generation of companies will not be built with bloated teams and messy spreadsheets.
They will be built by small teams, AI agents, and people who understand the numbers behind every decision.
This is not a role where you make random models, polish decks, and wait for someone to ask for a report.
You help Skarmy understand the business from the inside out: revenue, costs, runway, pricing, usage, customer behavior, growth channels, margins, and operating leverage.
You are half financial analyst, half startup operator. You can build models, find insights, ask sharp questions, and turn messy company data into decisions.
This role is for someone who wants to be close to finance, strategy, product, growth, and company-building at the same time.
What You Will Own
Financial modeling. Build and maintain models for revenue, costs, runway, hiring plans, pricing, burn, margins, and growth scenarios.
Startup finance. Help track how Skarmy spends, earns, grows, and allocates capital across product, engineering, growth, operations, and hiring.
Business analytics. Analyze user behavior, activation, retention, conversion, usage, customer segments, and growth channels.
Pricing strategy. Help think through Skarmy’s pricing, packaging, paid plans, usage-based pricing, and customer willingness to pay.
Investor materials. Support fundraising prep, investor updates, metrics snapshots, financial summaries, market research, and strategic narratives.
Operating dashboards. Build dashboards that help the team understand what is working, what is broken, and what needs attention.
Market research. Study AI startups, company-building platforms, agent products, vertical SaaS, consumer/prosumer tools, and startup tooling markets.
Unit economics. Help analyze CAC, payback, LTV, gross margin, infrastructure costs, model costs, support costs, and customer profitability.
Decision support. Work with founders and team leads to turn data into decisions around hiring, product roadmap, GTM, pricing, and capital allocation.
Shipping velocity. This is not fake analyst work. You will work on real numbers, real company decisions, real investor materials, and real operating systems.
What We Are Looking For
You are strong with numbers. You can work in spreadsheets, build models, analyze data, and explain what matters.
You care about startups, not just finance. You want to understand how a company actually gets built.
You are analytical but practical. You do not just make beautiful models. You help people make better decisions.
You are comfortable with ambiguity. Early-stage startup data is messy. Your job is to create clarity.
You have high agency. You do not wait around for permission.
You communicate clearly. You can summarize a model, explain a metric, write an investor update, or turn messy data into a simple recommendation.
You are unusually good at something. Maybe you invest personally, built a startup model, ran finance for a club, analyzed companies for fun, worked on a fund, built dashboards, or obsessed over how great companies grow.
Bonus
You have experience with startups, venture capital, investment banking, private equity, consulting, accounting, FP&A, or business operations.
You have built financial models for startups before.
You understand SaaS metrics, AI infrastructure costs, usage-based pricing, or marketplace economics.
You are comfortable with Excel, Google Sheets, SQL, Python, Notion, Airtable, or BI tools.
You follow AI companies, venture markets, startup funding, and technology trends.
You are good at making complicated numbers feel simple.
How We Work
We work five to six days a week at the office.
We move fast, talk to users constantly, ship aggressively, and care about making Skarmy feel magical.
We go out, decompress, and are human. We really love concerts, KBBQs, founder dinners, and strange experiments.
The rest of the time, we are building.
By applying, you agree to sign up for the Skarmy.