Analytics Operations · Dashboard Governance · Technical PM

Trusted reporting when analytics work gets messy.

I help marketing, eCommerce, BI and operations teams turn scattered tracking, dashboards, vendor requests and KPI questions into structured, QA-backed delivery.

DanoneAnalytics project management, Datorama operations, GA4 and reporting governance.
DataboxL2 analytics support across BI, APIs, SQL, connectors and customer dashboards.
13LinkedIn recommendations from managers, colleagues and collaborators.
QACertified QA and network administration background for technical delivery work.

The problem

Analytics work gets messy when nobody owns the middle.

  • Business teams need answers, but dashboards depend on tracking, mappings, data exports, access, platform quirks and vendor timelines.
  • Technical teams need clear requirements, but requests often arrive as screenshots, vague metric definitions or urgent discrepancy questions.
  • Leadership loses confidence when numbers change without explanation, QA evidence or documented ownership.
  • I sit in that middle and turn the chaos into clear work, visible decisions, QA checks and usable reporting.

Services

Three ways I can help.

Each offer is designed for teams that already have tools and stakeholders, but need ownership, structure and delivery quality.

Offer 1

Analytics Operations & Dashboard Governance

Clean up reporting ownership, KPI definitions, dashboard logic, naming conventions, QA routines and recurring reporting workflows.

DatoramaKPI frameworksDashboard QA
Offer 2

Tracking / Data Quality QA & Issue Investigation

Investigate missing dates, metric gaps, broken mappings, event readiness, GA4 questions and cross-platform discrepancies.

GA4BigQuery contextQA reports
Offer 3

Technical Project Management for Data, BI & Vendor Workstreams

Translate business needs into requirements, owners, risks, acceptance checks, vendor follow-ups and stakeholder-ready delivery updates.

AsanaVendorsDocumentation

Confidentiality-safe proof

Case studies based on real work patterns.

Read case studies
Dashboard governance

Turning dashboard requests into an owned KPI framework

Structured metric definitions, filters, QA checks and stakeholder sign-off so dashboards could be trusted and maintained.

Data quality

Investigating eCommerce reporting discrepancies

Compared retailer sales exports, campaign naming, source mappings and calculated metrics to isolate reporting risks.

GitHub portfolio

Practical tools, not generic demos.

View all projects
Python · pandas

Analytics QA Toolkit

Checks dashboard exports for missing dates, null KPIs, duplicate rows, naming drift and abnormal spikes.

Datorama · Governance

Datorama Stream Validator

Validates stream naming, market fields, source labels and campaign conventions before reporting issues spread.

eCommerce · KPI logic

eCommerce KPI Framework

Documents KPI definitions, sample calculations and reporting-ready metric logic for retailer and web performance.

GA4 · Tracking QA

GA4 Tracking Validation Framework

Checks events, conversion flags, ecommerce parameters, page types and UTM consistency before reporting relies on GA4 data.

Vendor work · PM

Vendor Handover Tracker

Tracks owners, access gaps, dependencies, risks and next actions so analytics handovers do not disappear into meeting notes.

Governance · Playbook

Dashboard Governance Playbook

Documents owners, KPI definitions, filter logic, QA evidence and stakeholder sign-off for recurring dashboard operations.

Process

Diagnose, structure, coordinate, QA, deliver, document.

01

Diagnose

Find the real reporting or delivery problem behind the request.

02

Structure

Turn it into requirements, owners, risks and acceptance criteria.

03

Coordinate

Align business, vendors, analytics, developers and support teams.

04

QA

Validate tracking, data logic, mappings and dashboard behavior.

05

Deliver

Keep progress visible and outcomes tied to decisions.

06

Document

Leave behind playbooks, definitions and support-ready handover notes.

Featured blog

How a small QA toolkit protects dashboard trust.

Read article

A practical case-style article about the hidden cost of missing dates, duplicate rows, null KPIs and inconsistent naming, and how an analytics QA workflow catches issues before stakeholders lose confidence.

Contact

Need someone to own a messy analytics workstream?

Send the reporting problem, stakeholder context, tools involved and timeline. I will help turn it into a structured delivery path.