Data Analyst & BI Consultant specializing in Self-Service Analytics, Data Automation, and Scalable Business Intelligence Solutions.
I help organizations leverage Tableau, Alteryx, SQL, and Power BI to build scalable analytics frameworks, automate data pipelines, and deliver actionable insights that drive decision-making and operational efficiency.
🔹 Excel 🔹 Amazon Athena 🔹 SQL 🔹 Tableau Prep 🔹 Alteryx
🔹 Tableau 🔹 Power BI
🔹 Jira 🔹 Confluence 🔹 Google Workspace 🔹 Mircosoft Office
| Professional Expertise |
|---|
| Data Preparation and Automation (Alteryx, Excel, SQL, Tableau Prep) |
| Data Visualization (Tableau, Power BI) |
| Data Strategy Consulting and Stakeholder Enablement |
| Business Consulting (Operations Optimization, Growth Strategy) |
| Self-Service Analytics Frameworks & Governance |
| Project Management (Confluence, Jira) |
| Industry Experience |
|---|
| Financial Services |
| Non-Profit |
| Insurance |
| Beverage & Food Services |
| Contact Centers |
🔹 Website: mbellamybb.com
🔹 Career Resources for Data Professionals: Career Resources
🔹 Blog: Blog
🔹 Tableau Portfolio: Tableau Public
Here are a few examples of my data visualization and business intelligence work. These projects demonstrate how I deliver actionable insights through visually compelling dashboards.
A Tableau dashboard designed using mock data to provide executive-level insights into sales performance, product trends, key customers, and shipping efficiency.
🔹 Key Features:
✔ Visualizing Sales Trends – Identify top-performing products and revenue-driving regions.
✔ Customer Insights – Analyze key customers and market opportunities.
✔ Shipping Performance – Breakdown of on-time delivery rates and cost efficiency to optimize logistics.
This Tableau dashboard, inspired by client work in the beverage industry, enables users to identify and analyze variances in sales volume across manufacturers and sub-categories.
Key Features:
✔ Dynamic Anomaly Detection – Custom thresholds highlight sales variances in real-time.
✔ Interactive Visualizations –
- Box-and-whisker plots for sales distribution.
- Heatmaps for monthly sales trends.
Advanced Functionality:
✔ Dynamic Filters – Analyze data by manufacturer, sub-category, year, or month.
✔ Custom Parameters – Set thresholds for sales anomaly detection.
✔ Zone Visibility – Seamless transitions between views for enhanced user experience.
A Tableau dashboard created using mock data to simulate real-world churn analysis. This tool provides actionable insights into customer retention, revenue impact, and demographic segmentation for telecom companies.
Key Features:
✔ Churn Analysis –
- Churn vs. Retention Metrics – Visualizes a 26.5% churn rate, retention rates, and revenue impact ($3.7M lost, $17.6M retained).
- Demographics Breakdown – Identifies high-risk customer groups (e.g., males aged 25–44).
- Customer Behavior Insights – Tracks churn by tenure and contract type to uncover retention strategies.
- Churn Drivers – Analyzes why customers leave (competition, dissatisfaction, pricing issues).
✔ Customer Segmentation –
- High-Value vs. Low-Value Customers – Identifies revenue distribution (85% from high-value customers).
- Retention Strategies – Tailors customer engagement plans based on demographics and churn reasons.
What if data could help protect rainforests and improve global communities? That was the challenge faced by Health In Harmony, a non-profit tackling environmental and healthcare issues.
As part of TIL+, an initiative from The Information Lab, I helped transform Health In Harmony’s data processes by developing real-time Tableau dashboards that improved data accessibility and decision-making.
Key Features:
✔ Tableau Cloud Optimization – Organized data sources and improved stakeholder access.
✔ Data Pipeline Overhaul – Standardized and cleaned up reporting data.
✔ Interactive Dashboards – Built real-time visualizations for program tracking.
✔ Training & Adoption – Conducted hands-on training sessions for the organization.
Results:
✔ Increased Accessibility – Field teams gained real-time access to program data.
✔ Improved Decision-Making – Streamlined reporting for faster insights.
✔ Operational Impact – Enhanced tracking of health and conservation metrics.
