analyst · developer — signals into decisions

I turn raw operational data into decisions people trust.

Jonathan Joseph — analytics professional specializing in SQL, Python, Power BI, ETL pipelines, and cloud-based data solutions. Six years building forecasting models and dashboards for fleet, energy, and enterprise teams.

View projects Contact me
6+
years in analytics
$200M
fleet budget forecast
54,000+
assets modeled
25%
forecast accuracy gain

about

Analytics with an engineer's discipline

Results-driven Data Analytics & Software Development Professional with expertise in SQL, Python, Power BI, ETL pipelines, and cloud-based data solutions. Skilled in data modeling, database management, automation, and dashboard development to extract actionable business insights.

Experienced in enterprise application design, business intelligence (BI), and Agile project management. I leverage advanced analytics, automation, and full-stack development to drive efficiency and innovation in high-impact environments.

6 years of experience

Transforming data into actionable business insights

Clean code

Modular, maintainable, efficient

Full stack

Frontend to backend expertise

Fast

Optimized performance

Responsive

All device compatible

skills

What I work with

Data & analytics

SQL Python Power BI ETL Pipelines Data Modeling Oracle SQL Machine Learning

Cloud & automation

Azure AWS Automation API Integration Database Management CI/CD

BI & project management

Business Intelligence Dashboard Development KPI Reporting Agile Git Forecasting

the pipeline · how the work moves

keep scrolling — the stages advance with the page

Every engagement runs the same four moves — from messy source systems to a decision a stakeholder will sign off on.

  1. 01 · ingest

    Wire up the sources

    ETL from SQL Server, Oracle, Excel and SharePoint/API feeds — automated so data lands on a schedule, not by hand.

  2. 02 · model

    Shape the data

    Clean, validate and model in SQL and Power Query / DAX so every metric traces back to a definition people agree on.

  3. 03 · forecast

    Project what's next

    Python and statistical models for depreciation, demand and revenue — the auction model improved forecast accuracy by 25%.

  4. 04 · decide

    Put it in front of people

    Power BI dashboards and review cadences that turn the numbers into calls teams actually make — cutting manual reporting by 70%.

selected work

Featured projects

forecasting · fleet

Fleet Asset Forecasting Model

Forecast model for asset depreciation and lifecycle planning through 2029, steering a $200M+ fleet budget.

Python Forecasting Financial Modeling

United Utility · 2025

Details

automation · bi

Power BI Dashboard Automation

Automated pipeline integrating multiple API endpoints for scheduled reporting and real-time KPI dashboards — 70% less manual work.

Power BI API Integration Automation

United Utility · 2025

Details

predictive modeling

Auction Revenue Prediction Model

Financial models predicting $30M+ in auction sales revenue, improving forecast accuracy by 25%.

Python DAX Power Query

Dycom Industries · 2019–2022

Details
View all projects

contact

Get in touch

Have a project in mind or want to discuss potential opportunities? I'd love to hear from you.

email
jjosephdev@gmail.com
github
github.com/jonjos95
linkedin
linkedin.com/in/jjosephdev

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