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Regala AI

Financial Analyst Intern

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Recruitment began on July 7, 2026
and the job listing Expires on August 7, 2026
Internships
Apply Now

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.

Apply Now

Labor Market InsightsIn partnership withLightcast logo

Explore occupations by career categories and pathways and use real time labor market data to power your decision making.

Find career data by selecting keywords Keyword Search
or, by filtering for industry and occupation Industry Search

First, choose an industry of interest, then filter for occupation. (If you'd like to see data for a specific location only, filter by state.)

Type in a keyword to select a relevant occupation. (If you'd like to see data for a specific location only, filter by state.)

  • 01 Occupation Description
  • 02 Employment Trends
  • 03 Top Employers
  • 04 Education Levels
  • 05 Annual Earnings
  • 06 Technical Skills
  • 07 Core Competencies
  • 08 Job Titles

Occupation Description

Employment Trends

The number of jobs in the career for the past two years, the current year, and projections for the next 10 years. Job counts include both employed and self-employed persons, and do not distinguish between full- and part-time jobs. Sources include Emsi industry data, staffing patterns, and OES data.

Top Employers

These companies are currently hiring for .

    Education Levels

    The educational attainment percentage breakdown for a career (e.g. the percentage of people in the career who hold Bachelor’s Degrees vs. Associate Degrees). Educational attainment levels are provided by O*NET.

    Annual Earnings

    Earnings figures are based on OES data from the BLS and include base rate, cost of living allowances, guaranteed pay, hazardous-duty pay, incentive pay (including commissions and bonuses), on-call pay, and tips.

    Technical Skills

    A list of hard skills associated with a given career ordered by the number of unique job postings which ask for those skills.

      Core Competencies

      The skills for the career. The "importance" is how relevant the ability is to the occupation: scale of 1-5. The "level" is the proficiency required by the occupation: scale of 0-100. Results are sorted by importance first, then level.

        Job Titles

        A list of job titles for all unique postings in a given career, sorted by frequency.

          Contact & Location

          Phone
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          Email
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          Address

          Richardson Library - Room 122
          2200 Hickory Street
          Abilene, TX 79601

          Career Service Hours

          M Monday 9:00 a.m. — 4:00 p.m.
          T Tuesday 9:00 a.m. — 4:00 p.m.
          W Wednesday 9:00 a.m. — 4:00 p.m.
          TH Thursday 9:00 a.m. — 4:00 p.m.
          F Friday 9:00 a.m. — 4:00 p.m.

          Meet the Team

          Nick Edwards Meet Nick
          Phone
          1-325-670-1147
          Email
          careerservices@hsutx.edu
          Address

          Richardson Library - Room 122
          2200 Hickory Street
          Abilene, TX 79601

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