Google Analytics 4
skills employers want

Google Analytics 4 is Google's analytics platform for websites and apps. It replaced Universal Analytics, which stopped processing data on 1 July 2023.¹ GA4 is event-based: page views, clicks, purchases and sign-ups are all events with parameters, and the ones that matter to the business are marked as key events.² Working with GA4 means planning what to measure, implementing it correctly (often through Google Tag Manager), building reports and explorations, handling consent and privacy,³ keeping campaign tagging consistent⁴ and checking that the data can be trusted.

GA4 fluency has become a baseline expectation in digital marketing and analytics roles. In India, AmbitionBox lists web analysts at a typical ₹4.9–5.4 lakh and digital analysts at ₹6.9–7.7 lakh a year.⁵⁶

Universal Analytics stopped processing data

1 Jul 2023

GA4's data model: everything is an event

Event-based

Typical web analyst pay in India (AmbitionBox, Oct 2026)

₹4.9–5.4 lakh

Typical digital analyst pay in India (AmbitionBox, Oct 2026)

₹6.9–7.7 lakh

Table: How GA4 skills are assessed (editorial summary)

Table: Example GA4 tracking plan (illustrative)

Start from questions, not from tracking everything. A short, well-implemented plan beats hundreds of untrusted events.

Table: How web analytics has changed (editorial summary)

• A tracking plan for a real site
• Events implemented and verified in DebugView
• A UTM naming convention in use
• An exploration answering a real business question
• A reconciliation of GA4 against backend data
• A verified GA4 certification

Show trustworthy data and decisions: "Rebuilt GA4 tracking with transaction IDs and UTM standards; reported purchases now within 3% of payment data; channel analysis shifted 20% of budget to higher-value sources."

"GA4 numbers don't match our backend. Why?"

Duplicate events, missing transaction IDs, consent and ad blockers, time zone differences and attribution — check each.

"What's a key event?"

An event marked as important to the business, highlighted in reports and usable in ads.

"How do you set up UTMs?"

A documented convention for source, medium and campaign, a link builder for teams, and regular audits.

"When would you use an exploration?"

For funnels, paths, segments or cohorts that standard reports can't show.

"How does consent mode affect reports?"

Less observed data for users who decline; GA4 may model some behaviour, so compare trends rather than exact counts.

Table: Analytics roles and typical pay in India (AmbitionBox, October 2026; indicative)

Table: Common GA4 tools (editorial guidance)

• Digital marketing executive — campaign reporting in GA4.
• Web or digital analyst — tracking, analysis and dashboards.
• Marketing analyst — channel, customer and attribution analysis.
• Analytics engineer — data pipelines and BigQuery.
• Head of analytics — measurement strategy.

1. Week 1: Plan and implement — Write a tracking plan; set up events and key events.
2. Week 2: Analyse — Build explorations and a simple dashboard; standardise UTMs.
3. Week 3: Prove it — Reconcile with backend data and take the Google Analytics 4 Fundamentals Certification.

Related: Marketing Attribution and Measurement and Search Console. Guides: marketing attribution, Search Console and marketing analytics.

• Campaign checks — UTMs and channel grouping.
• Event QA — after site releases.
• Dashboards — weekly performance views.
• Ad hoc questions — explorations for stakeholders.
• Reconciliation — GA4 vs backend.
• Privacy reviews — consent and data settings.

"How would you explain a GA4 report to a non-analyst?"

One headline number, what it means for the decision at hand, and the main caveat — not a tour of the interface.

"How do you define a session or user in GA4?"

Sessions start with session_start and end after inactivity; users are counted by identifiers such as device or user ID, with privacy limits.

"Why might direct traffic be too high?"

Untagged campaigns, app or email links without UTMs, and tracking or redirect issues.

Table: Common business questions and where GA4 answers them (editorial guidance)

Analysts who start from the question, choose the right report and explain the caveats are far more valuable than those who know every menu. Practise turning each question into a short answer with one chart and one recommendation.

Table: A first-90-days plan (editorial guidance)

GA4 jobs start with trust. Audit the property first: which events fire, whether key events match real business outcomes, how campaigns are tagged and how consent is handled. Fix the most damaging problems — usually duplicate or missing purchase and lead events — and reconcile GA4 with your backend until the numbers agree within a sensible margin. Then build a handful of dashboards and explorations that answer the questions leaders actually ask. Analysts who make the data reliable earn the right to recommend where budget goes.

• Tracking everything, planning nothing.
• Purchase events without transaction IDs.
• Inconsistent UTMs.
• Treating attribution as truth.
• Never reconciling with backend data.

The Universal Analytics sunset, events, consent mode and campaign tagging guidance come from Google Analytics Help; India pay from AmbitionBox (read October 2026). The tracking plan, tools, assessment formats and history are editorial. Science of Apps publishes the free certification linked here. Last reviewed October 2026.

• Event — any tracked interaction in GA4.
• Key event — an event marked as important to the business.
• UTM parameters — link tags that identify campaign sources.
• Exploration — GA4's flexible analysis workspace.
• Consent mode — tag behaviour adjusted to users' consent choices.