Business Operations Analyst

Workana; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Unlimited PTO

Job summary

Workana is seeking a high-impact analytics leader to serve as the CFO’s right hand, owning the company-wide operating picture. You will design EOS Scorecards, automate reports with AI, and translate metrics into actionable business decisions.

You will work directly with the CFO and collaborate with area leads to align measurables with targets. You will accelerate data-driven decision making across finance, operations, and growth, leveraging AI to create scalable, repeatable insights and

Qualifications

• 3–5 years of experience in an analytical role (FP&A, BizOps, RevOps, strategy consulting, or data-heavy startup).
• Proven ability to influence decisions with numbers and drive automation using AI tools.
• Experience building repeatable data workflows and dashboards.

Responsibilities

• Track core metrics daily/weekly and explain deviations against targets.
• Design and maintain EOS Scorecards for multiple areas with owners and targets.
• Build AI-powered workflows to replace recurring manual analysis.
• Prepare data for leadership meetings and Board materials.
• Conduct ad-hoc deep-dives into cohorts, pricing changes, or funnel leaks.
• Maintain consistent metric definitions across teams.

Skills

SQL

Spreadsheets

BI tools

LLM tools

Unit economics

Ownership

Spanish

English

Education

Bachelor's degree in Economics/Engineering/Business

Job description

The Opportunity

As LATAM’s leading remote work ecosystem, Workana connects thousands of enterprises and independent professionals every month across a diverse suite of solutions.

This role is the CFO's right hand for knowing, every day, how the whole company is doing. You will own the operating picture: primary and secondary metrics, how they track against target, why they deviate, and what that means for the rest of the business. You will build that picture with AI tools first, not with manual spreadsheets.

In the next 6–12 months, the goal is simple: every area of Workana runs on a clear EOS Scorecard, deviations are caught in days instead of at month-end close, and the problems that reach the CFO are real, well-framed, and arrive with their downstream consequences already mapped.

Where Do You Shine?

This is the most important part of the role.

Turning numbers into business judgment. You are fast and rigorous with data, but the numbers are not the output. You can look at a metric 12% below target and say whether it is noise, seasonality, a data issue or a real problem, and back it up. You know which metric drives which, and you can explain a deviation in two sentences to someone who did not build the model.

Second-order thinking. When something moves, you ask what else it will move. A spike in project cancellations, a change in take rate, a slow month in B2B hiring: you trace the consequence into the other units, into cash and into next quarter's targets before anyone asks. You raise a problem only when it is a real problem, and when you do, it comes with the evidence and the likely knock-on effects.

AI-native analysis. You default to AI tools to pull, clean, analyze and summarize data, while maintaining a critical eye to question and validate the outputs rather than taking them for granted. You build repeatable workflows (queries, agents, automated reports) instead of rebuilding the same spreadsheet every week, and you can show work where AI made you meaningfully faster or more accurate.

If these areas are not where you have personally delivered strong results, this probably isn't the right role for you.

What You'll Build

You will build Workana's company-wide operating view: one place where leadership can see every area's key numbers against target, week by week. That includes an EOS Scorecard for each area, a weekly deviation report, and the AI workflows that keep both up to date with minimal manual work.

This is an individual contributor role. You will not manage people. You will work one-on-one with the CFO and partner with area leads to define their measurables, owners and targets.

What You'll Do

• Track Workana's primary and secondary metrics daily and weekly, and know where each stands against target.
• Design and maintain EOS Scorecards with each area lead: 5–15 weekly measurables per area, each with an owner and a target.
• Build AI-powered workflows (data queries, automated reports, agents) that replace recurring manual analysis.
• Prepare the numbers for leadership meetings, monthly reviews and Board materials.
• Run ad-hoc deep dives when a question comes up: why a cohort churned, what a pricing change did, where a funnel is leaking.
• Keep metric definitions consistent across teams so everyone reads the same number the same way.

How Success Is Measured

• 3 months: You know Workana's core metrics and their definitions cold. A first company-level Scorecard is live and updated weekly. The CFO gets a weekly deviation summary they trust without rechecking.
• 6 months: Every area runs on its own EOS Scorecard with owners and targets. At least two recurring reports are fully automated with AI. You have flagged at least one real problem before it showed up in monthly results.
• 12 months: The operating view is the default source of truth for leadership meetings and Board prep. Deviations are caught within a week. The CFO spends their time on decisions, not on assembling numbers.

What the Process Looks Like

The process has 5 steps.

• Intro call with Talent: motivation, background and fit with a remote, fast-moving team.
• Case study (take-home, AI tools encouraged): a set of Workana-like metrics with deviations. You find what matters, explain why, and map the second-order effects.
• Conversation with People: how you think about numbers and business, through a real analysis you have done and soft skill analysis
• Case review with the CFO and one area lead: you walk us through your reasoning and how you used AI to get there.
• References: conversations with former managers and peers.

Who You Are

• 3–5 years of experience in an analytical role: FP&A, BizOps, RevOps, strategy consulting, investment banking or a data-heavy role at a startup or marketplace. We care more about drive and judgment than about years.
• You can show an analysis you did that changed a decision, with the numbers before and after.
• You can show a recurring process you automated or sped up with AI tools, and how much time or error it removed.
• Strong with SQL and spreadsheets; comfortable with BI tools and LLM-based tools (Claude, ChatGPT or similar) for real analytical work.
• You understand the basics of unit economics: revenue, margin, take rate, CAC, retention, cohorts.
• High ownership and drive: you look for the next problem instead of waiting for the next task.
• Fluent Spanish and advanced English.

Nice to have

• Experience with marketplaces, staffing or SaaS metrics.
• Familiarity with EOS (Scorecards, Rocks, L10 meetings).
• Degree in economics, engineering, business or a quantitative field.

• Build Workana's operating system for metrics from the ground up, with real influence on how leadership makes decisions.
• Direct, daily work with the CFO and exposure to every area of the business, including Board-level discussions.
• Direct access to the CEO and the leadership team.
• A fast learning curve across finance, operations, sales and product.
• Unlimited PTO.