A hands-on variance analysis lab using the same messy data you’ll face in your first FP&A or accounting role. Master the fundamentals by hand now, then learn to automate them with AI. No textbook exercises, no fluff.
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You’ve studied debits and credits, built financial statements in class, maybe even passed an exam or two. You know the theory.
Then you start the job, and someone drops a 40,000-row GL export on your desk and says “I need variances by Thursday.”
Where do you even start? How do you map accounts you’ve never seen? What do you do when the data doesn’t tie? How do you explain a $200K variance to a VP who has 5 minutes?
That gap between classroom and cubicle isn’t anyone’s fault. Academic programs build the foundation, but no curriculum can simulate the mess of real corporate data. That’s where we come in.
After the lab, you’ll walk into your first role knowing how to:
Read a raw GL export and know exactly what you’re looking at: every column, every code
Map accounts to summary categories using VLOOKUP/XLOOKUP so the data tells a story
Spot data quality issues before they become your problem: duplicates, miscodes, wrong-period postings
Build a variance analysis from scratch: Actual vs. Budget, formatted for leadership
Write a variance memo a VP would actually read: clear, specific, no fluff
Sanity-check an AI-drafted analysis. You’ll know what to verify, because you’ve built the real thing by hand
Earn a verified credential you can put on your resume: proof you did the work rather than watched a video
AI is changing finance. Fast. But thriving with AI takes more than fast prompting. It takes an analyst who can catch what the AI got wrong.
That’s why BTA teaches fundamentals first. Once you can build a variance analysis by hand, you’ll learn to automate it, and actually trust the output.
The AI-Augmented Analyst Module is coming soon. It builds on the fundamentals, and the fundamentals start with the lab below.
The Analyst Lab
SG&A Variance Analysis
You’re the new FP&A analyst at NovaTrade Consumer Co. Close just finished, your manager needs the SG&A variance pack for Friday’s leadership review, and the GL export is raw, straight out of the ERP, problems included. Everything you need is in the box:
The dataset. 5 CSV files of realistic ERP-style data: two months of GL detail, chart of accounts, cost center hierarchy, and a prior-year comparative
The lab. Full scenario instructions, control totals to tie out against, and 5 seeded data quality issues hiding in the data. You find them through pivots and lookups, not by scrolling 3,000 rows
The field guide. Read the GL: Quick-Start Guide, the complete 6-part playbook, written like a senior analyst training you on your first Monday
The credential. Finish the lab, submit your work, pass a short verification Q&A, and earn a BTA Verified Completion Credential for your resume and LinkedIn
$97
One purchase. Instant download. Work at your own pace.
30-day money-back guarantee. If the lab isn’t what you expected, reply to your receipt email and you get a refund. No forms, no hassle.
Not ready yet? Start with the free cheat sheet and see if this is for you.
Most online courses give you a certificate for watching videos. We don’t.
Complete the lab. Submit your work. Pass a short verification Q&A that checks your control totals, data quality findings, and variance accuracy.
Get it right, and you earn a BTA Verified Completion Credential: proof that you produced an executive-ready deliverable from realistic data. Nobody earns it by clicking “next” 47 times.
And you keep the work itself: a finished variance workbook and memo you can walk a hiring manager through, with verification that your numbers tied out.
Put it on your resume and your LinkedIn. Walk into interviews with evidence.
How it looks on your resume
BTA Verified Completion: SG&A Variance Analysis
NovaTrade Consumer Co. | BeingTheAnalyst.com
I’m Amer. My first job was as an analyst, and I was overwhelmed and didn’t know where to start. I learned the applied layer the slow way and worked up to CFO over 15+ years in FP&A and corporate finance. Since then I’ve hired analysts, trained analysts, and watched smart people struggle through the same first month I did.
The gap never went away: strong academic foundations, zero exposure to the messy reality of corporate data. So I built the training I wish someone had handed me on day one.
Excel or Google Sheets. That’s it. If you can write a SUM formula, you have the starting point; the included field guide walks you through everything else the lab demands, including lookups and pivot tables.
Plan on 4–6 hours of real work. It’s fully self-paced: instant download, no deadlines, no cohort schedule.
No. There are no videos to sit through. You get a realistic dataset, lab instructions, and a field guide, and then you do the actual work an analyst does: map the accounts, tie out control totals, catch the data issues, build the rollup, and write the variance memo.
When you finish, you submit your workbook and memo, then answer a short verification Q&A (5–8 questions) about your control totals, the data quality issues you caught, and your variance outputs. Score 80% or higher and the credential is yours. The answers are deterministic (the dataset has known correct answers), so the credential means you got it right. Finishing alone doesn’t earn it. If you don’t pass, you can review your work and retake it.
The lab is calibrated for entry level: accounting and finance students, recent grads in their first analyst or FP&A role, and CPA/CFA candidates. If you’ve taken an intro accounting course, you have the foundation, and the lab adds the applied layer.
30-day money-back guarantee. If the lab isn’t what you expected, reply to your receipt email and you get a refund. No forms, no hassle.
Start with the free cheat sheet. See if this is for you.
Free PDF. No spam. Unsubscribe anytime.