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.

MediumTechnical

0 practiced

Describe a practical migration plan from Universal Analytics to Google Analytics 4 for a retail site that tracks purchases and custom events. Include a parallel tracking strategy, an event mapping table (UA -> GA4), validation tests (debug tools, raw exports), and how you'd communicate expected metric differences to stakeholders.

EasyTechnical

0 practiced

In Power Query (Excel or Power BI), list the exact sequence of transformations you'd apply to standardize email addresses and remove duplicates. Mention specific functions/steps like Trim, Lowercase, Replace, Remove Duplicates, and how you'd handle malformed emails or common aliases (e.g., user+tag@example.com).

HardTechnical

0 practiced

Amplitude event properties are inconsistent across recent releases, causing dashboards to break. Create a remediation playbook: how to identify inconsistent events, reconcile or backfill historical data if necessary, implement schema enforcement going forward, communicate changes to stakeholders, and set up automation to prevent recurrence.

HardTechnical

0 practiced

You're asked to lead a company-wide migration from Tableau to a new BI tool. Create a roll-out plan including pilot selection, migration of high-priority dashboards, stakeholder training, a deprecation schedule for old reports, change communications, and KPIs to measure adoption and ROI. Include mitigation for feature gaps and backward compatibility during the transition.

EasyTechnical

0 practiced

Describe your process for triaging and resolving data quality issues that appear in production reports (e.g., missing orders for a day, duplicate users). Include how you classify severity, who you involve (engineering, data platform, business), how you document and track the incident, verification steps, and prevention measures.

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