Daniel Rojas
Data Analytics & Business Intelligence

Turning complex data into reporting people can use.

I build analytics, business intelligence, and reporting solutions that translate complex business rules into clear, reliable tools for decision-making.

Power BI • Python • DAX • Power Query • Forecasting • Automation

View My Work

Selected Work

Executive Fundraising Performance Dashboard
Synthetic Portfolio Example

Executive Fundraising Performance

A high-level dashboard designed to provide executives with an immediate view of overall campaign progress and revenue tracking. It structure complex multi-campaign progress bars alongside unified threshold indicators for strategic decision-making.

Power BI
DAX
Data Modeling

Campaign & Donor Analytics Dashboard
Synthetic Portfolio Example

Campaign & Donor Analytics

This analytics cockpit maps deep donor lifecycles and color-coded segments to visually organize donor engagement behaviors. It establishes dynamic segments to assist analysts in prioritizing resource allocation across different campaign paths.

Power BI
Power Query
RFM Modeling

Operations & Reconciliation Analytics Dashboard
Synthetic Portfolio Example

Operations & Reconciliation Analytics

A backend-focused operations interface created to validate transactional records and highlight reconciliation exceptions. It resolves structural reporting disparities through consistent business-rule modeling and clear exception lists.

Power BI
DAX
Data Quality

Portfolio Coverage & Opportunity Pipeline Dashboard
Synthetic Portfolio Example

Portfolio Coverage & Opportunity Pipeline

An analytics interface displaying high-density opportunity metrics alongside dynamic pipeline forecasts. The dashboard visualizes coverage benchmarks and conditional progress markers to track overall portfolio development and trends.

Power BI
Python Transformations
Forecasting

Capabilities

Business Intelligence

  • Power BI
  • DAX
  • Power Query
  • Dashboards
  • Paginated Reports
  • Custom Reporting

Data Modeling & Transformation

  • Power Query
  • DAX
  • Data Relationships
  • Business-Rule Modeling
  • Python Transformations

Nonprofit & Fundraising Analytics

  • Donor Segmentation
  • Retention & Acquisition
  • Campaign Analytics
  • RFM Analysis
  • Portfolio Analysis
  • Pipeline Reporting

Data Quality & Reconciliation

  • Validation
  • Reconciliation
  • Exception Reporting
  • Reporting Definitions
  • Data-Quality Monitoring

Automation

  • Power Automate
  • Repeatable Workflows
  • Notifications
  • Reporting Automation
  • Documentation

Advanced Analytics

  • Python
  • Predictive Analytics
  • Time-Series Forecasting
  • Prophet
  • Trend Analysis

Beyond Standard Power BI Visuals

While native Power BI visuals are highly capable and are used whenever they fit the core reporting need, certain complex scenarios demand dynamic layouts, dense operational data, or specific alignment with complex business rules. For those instances, I design and implement custom HTML/CSS-style visual components to maximize information density and present metrics in a unified framework.

Examples of custom layout components include:

  • Goal and stretch-goal progress displays
  • Portfolio coverage indicators
  • Dynamic progress bars
  • Benchmark and threshold markers
  • Conditional status components
  • Dense operational tables
  • Custom KPI layouts

Python, Data Transformation & Forecasting

Python represents a fundamental pillar in resolving complex transformations and handling advanced calculations before data enters reporting layers. From exploratory analytics to mathematical model mapping, Python scripts ensure reproducible preparation of backend pipelines.

Core workflows implemented include:

  • Data transformation and pipeline orchestration
  • Analytical exploration and statistical testing
  • Repeatable automated processing scripts
  • Predictive modeling & time-series forecasting (including Prophet)
  • Rapid prototype development for custom rules
[ Interactive Forecasting Sandbox – Future Integration Area ]

How I Approach Analytics

1
Understand

I start by clarifying the core operational queries and the practical workflow of end-users.

2
Define

We translate intricate business definitions and parameters into structured logic frameworks.

3
Transform

Raw data pipelines are cleaned, shaped, and normalized to support stable calculations.

4
Model

Consistent data schemas and clear measure structures are built for high performance.

5
Validate

Outputs are cross-reconciled against source numbers to guarantee complete reporting trust.

6
Automate

Repeatable workflows and update schedules are established to keep metrics consistently fresh.

About

My strongest domain experience is in nonprofit and fundraising analytics, including reporting, donor behavior, segmentation, campaign analysis, relationship management, operational reporting, reconciliation, and forecasting.

These same structured analytical methods transfer seamlessly to corporate, finance, operations, customer, and sales environments. I operate actively as the bridge translating technical reporting structures to the people who rely on those results to make decisions.

Contact

Open to consulting and project-based analytics opportunities.