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Profile · Finance & DataAs of October 2026

Davirson Novoa Ramírez

Finance Data Analyst

Target roles: Financial BI Analyst · Analytics Engineer

I find the variance, I trace it to root cause, I leave the control running itself, and I explain it where the decision gets made. All four, one person.

Four figures you can audit right now

Live pipeline · refreshes daily

Each one links to its proof. Click the one you believe least.

Six pieces of work. Each one checkable in one click.

Pick one: it takes you straight to the evidence.

  1. Business Consultant, FP&A · Neoris EPAM

    2026 — present

    I own, from HQ, the SG&A close and forecast for 15+ countries at once — the Americas and the Eastern Hemisphere. Variance against plan, against prior forecast, and in constant currency. Fully remote, from day one.

    FP&A

  2. SLB · two promotions in 26 months

    2024 — 2026

    LATAM treasury and billing, up to leading an intern. I spotted the FX mismatch on my own initiative and modelled it in Python, and built automation that handed every analyst ~10 hours a month back — around 60 a month across the team. Revenue recognition under SOX, and internal audits on technology projects.

    Finance + data

  3. Economic research · LEE Javeriana

    2023

    Impact evaluation on higher-education data, with international remote teams.

    Data

No logo wall

Anyone can type “Python” on a CV. Here every tool links to the exact work where I used it — the repository, the report or the role. If something has nowhere to link, it is not on this list. The full list, each with its proof, is on the CV.

Stop choosing between the person who understands the business and the person who builds the data.

One hire covers the financial analysis, the pipeline and the dashboard. Finance Data Analyst, Analytics Engineer or FP&A automation. Bogotá, GMT-5, your US hours in full. I reply within one business day, in English or Spanish.

A 20-minute video call: you pick the slot in your time zone and the link arrives by email.

davirson@davirson.com

The fine print, in plain sight

Built in public, verifiable figures
This site and the projects behind it are documented as they are made, and so are the mistakes: the engineering log carries every defect found and fixed, with its root cause. And every number on this page comes from the pipeline or the public repository, and links to the artifact that proves it. See the defect log →
Past results
The trading research shown here is a methodology demonstration, not investment advice.
Power BI report
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Languages
Native Spanish · English B2 · Portuguese A2.