I check the layer behind the dashboard.

Your dashboard may look fine.
But can your team trust the numbers?

Most reporting problems start before the dashboard — in how data moves between tools, how metrics are defined, or how tracking was set up.

Start with a lightweight reporting check before committing to implementation.
Mini audits start at $400.

SQL BigQuery Looker Studio GA4 GTM Reporting Automation Python
Audit → Issue List → Fix Plan Check the tracking, review the reporting logic, and prioritize what to fix first.

For teams that already have data — but do not fully trust their reporting.

For teams with reporting in place, but trust gaps still showing up.

📊

SaaS & B2B teams

Revenue, CRM, and product data do not match — and the team spends more time checking numbers than using them.

See related work ↓
🛒

Ecommerce & DTC brands

Ad platform, GA4, store, and CRM numbers are close, but not reliable enough for channel decisions.

See related work ↓
🏢

Marketing & web agencies

Client reporting takes too much manual cleanup before it can be shared or explained.

See related work ↓
⚙️

Growth & operations teams

Reports depend on spreadsheets, PDFs, or manual cleanup before the team can trust the numbers.

See related work ↓

What I check first

01

Find tracking gaps

Check GA4, GTM, conversions, and key tracking logic for obvious gaps or errors.

02

Check why numbers do not match

Review dashboard metrics, dimensions, filters, and data source connections.

03

Map where data breaks

Check how data moves between GA4, ads, CRM, Shopify, Stripe, BigQuery, or Sheets.

04

Get a prioritized issue list

Identify what looks unreliable, duplicated, missing, unclear, or worth fixing.

05

Know what to fix first

Provide a clear fix plan with scope options if implementation is needed.

06

Get handoff notes your team can use

Summarize what was checked, what changed, and what still needs attention.

What you receive: A short audit summary with prioritized findings, a fix plan with recommended next steps, and notes you can actually use.

Start small, then fix what matters

You can start with a small check before deciding whether you need implementation help.

Entry point
✓ Selected

Mini Audit

From $400

For teams that have reporting in place, but do not fully trust the numbers.

Includes: issue list, first checks, and recommended next steps.

✓ Selected

Reporting Automation

From $1,500

For teams that need a cleaner reporting workflow.

✓ Selected

Monthly QA & Support

From $300/mo

For ongoing reporting checks and small fixes.

Starting ranges, not fixed packages. Not sure what fits? I'll suggest the smallest useful next step.

Tell me what feels off
Selected: Mini Audit — From $400
Tell me what feels off

I'll confirm the scope and send the next step.

Relevant work

Projects related to tracking, reporting reliability, automation, and dashboard workflows.

Projects shown with anonymized details and representative screenshots.

Fitness BI dashboard preview
Anonymized dashboard view

Membership BI Dashboard System

Anonymized fitness operations project

Built a BigQuery + Apps Script + Looker Studio reporting system. Reduced manual reporting work and helped the team monitor churn, members, classes, and operational KPIs consistently.

Outcome The team stopped rebuilding the same reports every week — churn, retention, and class data could be reviewed on a recurring schedule.

BigQuery Looker Studio Apps Script BI Dashboard Reporting Automation
PDF automation workflow diagram
Anonymized workflow mockup

Insurance PDF & Data Automation

Anonymized insurance operations project

Automated extraction and standardization of data from multiple PDF formats using Python, regex, and Excel/VBA workflows. Reduced manual processing and improved data consistency for operational reporting.

Outcome Manual PDF and spreadsheet work became a repeatable process, so reports could be prepared faster and more consistently.

Python PDF Extraction Data Validation Excel Automation Workflow Automation
GTM tracking QA preview
Tracking QA screenshot

Tracking QA & Reporting Setup

Anonymized digital experience project

Set up a new GTM structure, configured GA4 event tracking, validated live event collection, and built Looker Studio reporting views so interaction data could be reviewed more reliably.

Outcome The team had one cleaner place to review conversion data, instead of manually checking GA4, CRM, and Looker Studio separately each week.

GA4 GTM Looker Studio Event Tracking Reporting QA

I focus on the layer behind the dashboard

A dashboard is only useful if the data behind it is reliable. I do not just build charts. I look at the tracking logic, data flow, metric definitions, and reporting workflow behind them.

I work best with teams that need someone technical enough to handle GA4, GTM, SQL, BigQuery, and automation, but practical enough to explain the issues clearly to non-technical stakeholders.

  • Strong mix of analytics, automation, BI, and client communication
  • Comfortable working across messy tools, spreadsheets, APIs, dashboards, and reporting workflows
  • Can connect tracking, dashboard logic, and automation instead of treating them as separate problems
  • Clear handoff notes so your team knows what was checked, what changed, and what still needs attention
  • Focused on practical systems your team can actually use and maintain
  • Past work includes enterprise data migration, multi-location BI systems, and large-scale data infrastructure — not only tracking audits

You do not need to give full access first.

Send the tools you use, what numbers do not match, or what feels unreliable. I'll reply with where I would check first.

No full data access needed to start. I'll only ask for more detail if needed.

Thanks. I received your request and will review your setup within 1 to 2 business days.
If anything is missing, I will follow up by email.
Something went wrong. Please try again or email me directly.