Cesar R.

Fractional Data Leader | Top Rated Plus | 100% Job Success | Founder, DataNicely

You're running multiple locations, entities, or brands — and the numbers don't tie. Each property or rooftop reports a little differently. Someone on your team rebuilds the same spreadsheet every month. By the time leadership sees a number, it's three weeks old and nobody fully trusts it.

That's the problem I solve: building the reporting layer underneath a business that grew faster than its systems.

WHO I WORK WITH
Operators running multiple locations, entities, or brands — property management portfolios, restaurant groups, multi-brand operators — and the advisory firms and PE sponsors behind them. Usually more systems than anyone planned for, often post-acquisition.
If you need one dashboard built on data that's already clean, I'm more than you need. If your data lives in five systems and nobody can produce a number everyone believes, that's my work.

WHAT I BUILD

1. Data infrastructure & BI — Ingestion from your operational systems (AppFolio, POS, ERP, CRM, scheduled exports, APIs), a real database layer, defined metrics, and Power BI / Tableau / Looker Studio reporting on top. Architected so a future API migration doesn't mean a rebuild.
2. Marketing & revenue analytics — GA4, GTM, Meta Pixel, and Conversions API implementation and cleanup. Attribution you can act on, tied back to operational and financial results instead of sitting in a silo.
3. AI automation — Automating the manual work that remains after reporting is fixed: reconciliation, matching, data entry between systems. Every automation ships with human approval gates, an error queue, fallback-to-manual, and an audit log. Nothing posts without your approval — and I don't deploy automations I don't maintain.

RECENT WORK
• Multi-brand media operator — architected ingestion of 8 brands' ad, subscription, and engagement data into BigQuery, replacing manual cross-brand reporting with one consolidated view. Built an AI layer on top of that clean data so their team can ask questions in plain language instead of queuing requests with an analyst.
• Property management portfolios — AppFolio and operational data through automated ingestion into a reporting database and Power BI: occupancy, NOI by property, turn time, work-order backlog, days vacant. Designed so API migration doesn't mean a rebuild.
• Multi-location restaurant group — marketing analytics and tracking infrastructure across 12 locations: GA4, GTM, Meta, and campaign attribution tied back to location-level performance. • Private equity value-creation firm — profit-by-customer analysis reconciling 2.08M transactions to the dollar, surfacing $0.6–1.1M in annually realizable margin.