Analytics Operations & Dashboard Governance
Clean up reporting ownership, KPI definitions, dashboard logic, naming conventions, QA routines and recurring reporting workflows.
Analytics Operations · Dashboard Governance · Technical PM
I help marketing, eCommerce, BI and operations teams turn scattered tracking, dashboards, vendor requests and KPI questions into structured, QA-backed delivery.
The problem
Services
Each offer is designed for teams that already have tools and stakeholders, but need ownership, structure and delivery quality.
Clean up reporting ownership, KPI definitions, dashboard logic, naming conventions, QA routines and recurring reporting workflows.
Investigate missing dates, metric gaps, broken mappings, event readiness, GA4 questions and cross-platform discrepancies.
Translate business needs into requirements, owners, risks, acceptance checks, vendor follow-ups and stakeholder-ready delivery updates.
Confidentiality-safe proof
Structured metric definitions, filters, QA checks and stakeholder sign-off so dashboards could be trusted and maintained.
Compared retailer sales exports, campaign naming, source mappings and calculated metrics to isolate reporting risks.
GitHub portfolio
Checks dashboard exports for missing dates, null KPIs, duplicate rows, naming drift and abnormal spikes.
Validates stream naming, market fields, source labels and campaign conventions before reporting issues spread.
Documents KPI definitions, sample calculations and reporting-ready metric logic for retailer and web performance.
Checks events, conversion flags, ecommerce parameters, page types and UTM consistency before reporting relies on GA4 data.
Tracks owners, access gaps, dependencies, risks and next actions so analytics handovers do not disappear into meeting notes.
Documents owners, KPI definitions, filter logic, QA evidence and stakeholder sign-off for recurring dashboard operations.
Process
Find the real reporting or delivery problem behind the request.
Turn it into requirements, owners, risks and acceptance criteria.
Align business, vendors, analytics, developers and support teams.
Validate tracking, data logic, mappings and dashboard behavior.
Keep progress visible and outcomes tied to decisions.
Leave behind playbooks, definitions and support-ready handover notes.
Featured blog
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
Send the reporting problem, stakeholder context, tools involved and timeline. I will help turn it into a structured delivery path.