nadiele ormanBI & DATA ANALYTICS

BUSINESS INTELLIGENCE ANALYST · DATA ANALYST

Find the signal.
Improve the
bottom line.

I’m Nadiele Orman, a Sacramento-based analyst with 10 years of experience across Brazilian banking and financial services. I turn complex data into cost savings, clearer reporting, and better business decisions.

60%+ lower loan-inquiry costsBRL 1 million saved in 2023 · ≈ US$200,000 · See the case study ↗
Based in Sacramento, California · Experience built in Brazil
THE ANALYST BEHIND THE INSIGHT
Nadiele Orman
A business mind.
A data-driven perspective.
no.
10 yearsBusiness & data analytics experience
Master’sData Science & Analytics · USP
EXPERIENCE ACROSS BRAZILIAN FINANCIAL SERVICES

digio Cetelem CSU

01 / SELECTED WORK

Analysis with
business impact.

From banking products to small businesses.
A closer look at the questions I answered
and the decisions they made possible.

Original Databricks dashboards for service validation and product performance

PRODUCT ANALYTICS

Making product performance visible.

Two Databricks dashboards connecting service and payment validation with customer behavior and financial performance.

DatabricksDashboards
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The challenge

Teams needed a clearer view of service delivery, government payments, and product results.

The work & outcome

I created dashboards to validate services and payments and monitor customer behavior. They helped the team identify deviations from contractual terms and track product effectiveness within the app.

Original Excel dashboard showing a micro-entrepreneur’s business performance

SMALL BUSINESS INTELLIGENCE

Financial clarity for a business owner.

An approachable Excel dashboard that turns everyday business inputs into a clearer picture of cash flow, expenses, and revenue.

ExcelFinancial reporting
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The challenge

A non-technical entrepreneur relied on manual income tracking and needed a fuller picture of the business.

The work & outcome

I developed an Excel dashboard that automatically updates as business data is entered. It supported profit-distribution decisions and made cash flow, payables, receivables, inventory, and customer profiles easier to monitor.

STATISTICAL ANALYSIS · PYTHON

Finding the relationships behind customer behavior.

Using chi-square tests, adjusted standardized residuals, and correspondence analysis (ANACOR) to explore associations between customer visits and service purchases.

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I imported categorical data into Python using Spyder, checked associations with chi-square tests, and used adjusted standardized residuals to examine departures from expected values. For variables with p-values below 0.05, I applied correspondence analysis. The results suggested an association between regular visits and purchasing multiple procedures; this analysis does not establish causation.

Correspondence analysis plot from Nadiele’s Python project

02 / THE PERSON BEHIND THE WORK

Fluent in data.
Grounded in business.

Growing up in a family of entrepreneurs, I saw how much financial clarity matters. That perspective still shapes my work: the analysis is only useful when someone can act on it.

Across finance, marketing, product, and operations, I’ve translated complex information into dashboards, stronger processes, and clearer decisions. Today, I’m bringing that experience to business intelligence and data analyst opportunities—and consulting projects—in technology, banking, healthcare, and ecommerce.

EDUCATION

Master’s in Data Science & Analytics

University of São Paulo · 2023–2025

Bachelor’s in Accounting

Federal University of São Paulo · 2015–2022

A CAREER BUILT ON PROGRESSION

2020—2024

Digio Bank

Progressed through four positions, from automation to business intelligence. Contributed to database design, tool implementation, and product launches.

2019—2020

Cetelem Bank

Worked with portfolios containing millions of records. Mapped processes, validated databases, coordinated IT adjustments, and built debt-collection dashboards.

2011—2019

CSU Cardsystem

Advanced through seven promotions to BI Analyst II and led projects across nine client companies.

THE TOOLS, IN SERVICE OF THE QUESTION

SQLPower BITableauExcelDatabricksETL

Also experienced with SAS, AWS, SQL Server, Oracle, PostgreSQL, and SAP, with knowledge of Python and R.

03 / LET’S CONNECT

Good questions.
Better possibilities.

Have a role, a project, or a business question in mind?
I’d love to hear what you’re working on.

Connect with Nadiele on LinkedIn ↗