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Joey Rocha-Perez

Business Systems Analyst

I turn CRM and operational data into dashboards, pipelines, and systems people actually trust.

Joey Rocha-Perez

About Me

Portrait of Joey Rocha-Perez

I'm a Business Systems Analyst with a background in systems administration and data governance. I spend most of my time translating business needs into scalable system solutions — the kind that survive contact with a real organization's messy data.

I coordinate cross-functional projects end to end, from requirements-gathering through implementation, and I've built a track record of improving reporting accuracy and operational efficiency across CRM and data systems along the way.

Most of my career has been at small and medium-sized departments and organizations, where budgets are tight and trust in the data matters even more. On weekends I build side projects — usually something involving a dataset I can't stop thinking about.

Experience

  1. Business Systems Analyst · BARTC

    2024 — Present
    • Led requirements-gathering sessions with multiple stakeholders to define technical and business needs, producing user-centric dashboards and streamlined reporting workflows.
    • Directed cross-departmental implementation of a BI dashboard system integrating system usage, web traffic, and financial data — contributed to a 15% revenue increase.
    • Built and maintained SQL data pipelines for extraction and validation supporting sales, finance, and marketing reporting.
    • Standardized intake processes and SOPs for recurring data requests, cutting reporting turnaround time by 50% and increasing internal adoption.
    • Analyzed foot-traffic and program-participation data for a partner org, delivering visualizations that grew event participation by 30%.
  2. Business Analyst & Project Manager · Bayview Hunters Point Foundation

    2023
    • Conducted systems analysis across case-management and CRM platforms (SQL, Excel), identifying process inefficiencies that improved case management, client retention, and program outcomes.
    • Managed a reporting-system upgrade from scoping through rollout across program, fundraising, and case-management teams.
    • Built custom reports and dashboards with advanced filtering and aggregate logic; mapped business processes to surface automation opportunities.
  3. Information Solutions Specialist · California State University, East Bay

    2022 — 2023
    • Established data-governance standards via duplicate detection and field standardization, improving CRM accuracy and pipeline reporting.
    • Automated mailing-list management for 100K–200K records in Python, eliminating duplicates and improving campaign targeting and ROI by 30%.
    • Partnered with accounting to reconcile sales records and improve revenue-tracking accuracy.
  4. Salesforce Administrator · ClimbHire

    2020 — 2022

Skills

Systems & Data

  • SQL
  • Salesforce
  • Zapier
  • BigQuery
  • dbt

Reporting & Visualization

  • Tableau

Programming & Web

  • Python
  • JavaScript
  • React
  • Java
  • HTML
  • CSS
  • WordPress

Projects

A mix of flagship work, an M.S. capstone, and weekend builds — spanning BI dashboards, spatial analysis, and applied machine learning.

[[ image: revenue-visibility-bi-dashboard.png ]]
work

Revenue-Visibility BI Dashboard

Cross-departmental BI rollout that contributed to a 15% revenue increase at BARTC.

Directed the cross-departmental rollout of a business-intelligence dashboard system integrating system-usage, web-traffic, and financial data to increase revenue visibility. Built on SQL data pipelines for extraction and validation, feeding dashboards that sales, finance, and marketing now use for day-to-day reporting.

  • SQL
  • Tableau
[[ image: volunteernest.png ]]
side project

VolunteerNest

Volunteer attendance-tracking SaaS for nonprofits, with planned Salesforce integration.

A lightweight SaaS product for nonprofits to track volunteer attendance and hours without spreadsheets. Built with a typed, serverless-friendly stack and designed for a future Salesforce NPSP integration so nonprofit ops teams can keep one source of truth.

  • Next.js
  • PostgreSQL
  • Drizzle ORM
  • Neon
[[ image: donor-spatial-analysis.png ]]
academic

Donor Spatial Analysis

M.S. capstone modeling donor penetration vs. distance to trail across 1,772 Bay Area census tracts.

Spatial-econometric study of donor penetration versus distance to trail across 1,772 Bay Area census tracts. Combined a first-party CRM donor extract pulled via SOQL with the ACS 5-year Census API, ran multi-pass geocoding, then tested spatial autocorrelation with Moran's I and fit a spatial autoregressive (SAR) model reporting direct, indirect, and total impacts.

  • Python
  • GeoPandas
  • PySAL
  • SOQL
[[ image: sba-loan-default-prediction.png ]]
academic

SBA Loan Default Prediction

End-to-end ML classification pipeline tuned around an asymmetric 5:1 cost structure.

End-to-end classification pipeline comparing kNN, decision trees, bagging, AdaBoost, gradient boosting, random forest, and regularized logistic regression against a neural net baseline, tuned around an asymmetric 5:1 misclassification cost structure to reflect real lending risk.

  • Python
  • scikit-learn
[[ image: ev-charging-station-data-viz.png ]]
side project

EV Charging Station Data Viz

Interactive Tableau dashboards built from spatial joins of census and AFDC EV station data.

Combined California census-tract GeoJSON with Alternative Fuels Data Center (AFDC) EV charging-station data via spatial joins, then built interactive Tableau dashboards to explore charging-station coverage relative to population density.

  • GeoPandas
  • Tableau

Education

Certifications

Community & Involvement

[[ image: Hayward Promise Neighborhoods ]]

Hayward Promise Neighborhoods

[[ image: IEEE Youth Program ]]

IEEE Youth Program

[[ image: Innovate East Bay Hackathon ]]

Innovate East Bay Hackathon

visitor@jrochaperez:~$ whoami

> I make nonprofit data trustworthy enough that people stop keeping a shadow spreadsheet.