Operations Analytics | BI/Data Analytics | AI-Enabled Business Operations
I'm Jimmy Jr Manalon. I turn operational data and repetitive reporting processes into reliable reporting systems, actionable insights, and automated workflows.
DATA → VISIBILITY → INSIGHT → DECISION → ACTION
My background includes operational and project reporting, KPI monitoring, data quality, process improvement, Advanced Excel automation, and cross-functional operations support. I focus on making reporting trustworthy and helping teams see what needs attention next.
Open to remote opportunities in reporting, operations analytics, BI/data analytics, and reporting automation, as well as freelance reporting and automation work. Connect with me on LinkedIn.
Flagship — Customer Support Analytics Automation
An end-to-end Python and PostgreSQL workflow connecting ticket, agent, and QA data to SLA monitoring, team analysis, a prioritized exception register, automated Excel reporting, and a management briefing.
Evidence: 500 synthetic tickets; the saved report identifies 57 overdue open cases and 5 Critical-priority overdue cases. SQL supplies the figures; an optional, human-reviewed AI rewrite uses the prepared briefing.
View the management report · Read the briefing
Core Project — AI-Powered Operations Reporting Assistant
Operational data → validation → KPI and risk detection → prioritized exceptions → management reporting → AI-assisted decision support.
Evidence: 300 synthetic activities; 34 Critical and 48 Warning exceptions, with a saved Excel management report, deterministic briefing, and six automated checks. The optional AI integration receives calculated evidence; the default workflow runs without an API key.
Core Analytics Project — Operations Delay & Performance Analysis
SQL and Power BI analysis of 500 simulated work orders, comparing backlog volume, overdue rates, and aging to focus management attention.
Evidence: 106 overdue open work orders at the fixed reporting date. Team-level analysis distinguishes CON-A's combined backlog risk from QA-B's small but older backlog and identifies areas for further investigation.
| Project | Contribution to the portfolio |
|---|---|
| Operational Reporting Automation & Business Analytics | Excel Power Query cleaning and validation of 750 synthetic activities, feeding a Power BI dashboard and an overdue action list. |
| Project Progress KPI Dashboard | Excel and Power BI reporting that turns a 20-activity tracker into planned-versus-actual progress visibility. |
| Progression | Business-value flow |
|---|---|
| Project 1 | Data → KPI Visibility |
| Project 2 | Data → Analysis → Insight |
| Project 3 | Data → Reporting Automation → Business Analytics |
| Project 4 | Data → Risk/Exception Detection → Decision Support → AI-Assisted Reporting |
| Project 5 | Data → End-to-End Analytics → Decision → Automated Workflow |
DATA → VISIBILITY → INSIGHT → DECISION → ACTION → MEASUREMENT
The projects demonstrate reporting outputs and evidence-based recommendations. Measuring the effect of management action is the next step in an operational deployment; these portfolio snapshots do not claim client savings or before-and-after business results.
- Excel and Power Query: data preparation, validation, formulas, PivotTables, and repeatable reporting.
- Power BI and DAX: KPI visibility, performance comparisons, and operational dashboards.
- SQL / PostgreSQL: relational data, reusable analytical views, backlog and SLA analysis.
- Python: data processing, exception rules, automated Excel reports, and management briefings.
- AI-assisted reporting: evidence-grounded narrative generation and human-reviewed decision support.
My longer-term direction is Operations Analytics & AI Automation Specialist / Consultant, grounded in practical reporting and operations work.