Technical Skills & Tools Inventory Questions

Be ready to discuss specific tools and platforms you're familiar with: marketing automation (HubSpot, Marketo, Klaviyo, ActiveCampaign), CRM systems (Salesforce, Pipedrive), analytics tools (Google Analytics, Mixpanel, Amplitude), data visualization (Tableau, Looker, Power BI), testing platforms (Optimizely, VWO), or data management platforms. For each tool, be specific about what you actually did (created reports, set up workflows, troubleshot issues, etc.), not just 'familiar with.' If you lack certain tools, mention your ability to learn technical systems quickly and provide examples of how you've picked up new platforms.

EasyTechnical

0 practiced

Describe step-by-step how you would implement click tracking for product page CTAs using Google Tag Manager on a Single Page Application (React). Include: a) how you'd structure dataLayer pushes, b) which GTM triggers you'd use for route changes and clicks, c) how to debug and QA in staging, and d) strategies to avoid double-counting events.

MediumTechnical

0 practiced

You're asked to build a multi-step HubSpot workflow that nurtures trial users into paid customers. The workflow must trigger off a website event, branch on engagement metrics, include delays, suppress existing customers, and sync qualified leads to Salesforce. Outline the workflow design, how you'd handle deduplication/suppression, and how you'd validate the end-to-end behavior.

HardTechnical

0 practiced

Given tables:

sql

orders(order_id, user_id, order_date, amount)
refunds(refund_id, order_id, refund_amount)

Write an efficient SQL (BigQuery or Postgres) to compute net revenue per user and flag users with outlier net revenue using a z-score threshold of 3. Discuss optimizations you would apply to run this on a dataset of 100M+ rows.

HardTechnical

0 practiced

Design an event taxonomy for a consumer mobile app to support marketing attribution and product analytics. Define naming conventions, required properties (e.g., user_id, device_id, campaign_source, revenue), property types, versioning strategy, and an enforcement method (schema registry, CI checks). Show three example event definitions (signup, purchase, share) with properties.

EasyTechnical

0 practiced

Explain at a high level the primary differences between Universal Analytics (UA) and Google Analytics 4 (GA4). Then describe one concrete migration step you would take for an e-commerce site to migrate transaction tracking from UA to GA4 and how you would validate that the migration captured key metrics correctly.

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