Analytics Platforms and Dashboards Questions

Comprehensive knowledge of analytics platforms, implementation of tracking, reporting infrastructure, and dashboard design to support marketing, product, and content decisions. Candidates should be able to describe tool selection and configuration for platforms such as Google Analytics Four, Adobe Analytics, Mixpanel, Amplitude, Tableau, and Looker, including the trade offs between vendor solutions, native platform analytics, and custom instrumentation. Core implementation topics include defining measurement plans and event schemas, event instrumentation across web and mobile, tagging strategy and data layer design, Urchin Tracking Module parameter handling and cross domain attribution, conversion measurement, and attribution model design. Analysis and reporting topics include funnel analysis, cohort analysis, retention and segmentation, key performance indicator definition, scheduled reporting and automated reporting pipelines, alerting for data anomalies, and translating raw metrics into stakeholder ready dashboards and narrative visualizations. Integration and governance topics include data quality checks and validation, data governance and ownership, exporting and integrating analytics with data warehouses and business intelligence pipelines, and monitoring instrumentation coverage and regression. The scope also covers channel specific analytics such as search engine optimization tools, social media native analytics, and email marketing metrics including delivery rates, open rates, and click through rates. For junior candidates, demonstration of fluency with one or two tools and basic measurement concepts is sufficient; for senior candidates, expect discussion of architecture, pipeline automation, governance, cross functional collaboration, and how analytics drive experiments and business decisions.

HardTechnical

0 practiced

Design a real-time anomaly detection system for conversion rate that adapts to trend and seasonality, minimizes false positives, and attempts to surface likely root-cause segments (country, browser, campaign). Provide a high-level architecture and a Python code sketch for the detection and enrichment pipeline.

HardTechnical

0 practiced

Explain how sampling at the client or vendor level affects event counts and derived metrics. Design an approach to detect whether sampling is occurring in your analytics exports, quantify its impact on metrics, and propose remediation strategies (e.g., weighted scaling, requesting unsampled exports, or moving to server-side collection).

HardTechnical

0 practiced

A Looker dashboard reports CTR = 3% while Amplitude reports CTR = 4.5% for the same time window. Provide a checklist of SQL queries and technical checks you would run to reconcile the discrepancy and identify the root cause (include sampling checks, event deduplication, timezone and filter alignment, denominator definitions, and measurement differences).

MediumTechnical

0 practiced

Design an event schema to enable cross-domain and cross-device attribution. Specify required fields (for example: user_id, anonymous_id, device_id, session_id, event_ts, event_source, campaign_metadata) and explain deterministic and probabilistic identity resolution approaches. Discuss privacy and compliance considerations in identity stitching.

EasyTechnical

0 practiced

Define a client-side data layer for a web application. Provide an example JSON-like schema for a product click event (use single quotes to show names) and explain which fields you would mark mandatory, which optional, how you would include versioning, and how to handle property type changes and backwards compatibility.

Example schema:

{
  'event_name': 'product_click',
  'user': {'user_id': null, 'anonymous_id': 'uuid'},
  'page': {'url': 'https://...', 'referrer': 'https://...'},
  'product': {'sku': 'ABC123', 'name': 'T-shirt', 'price': 29.99},
  'timestamp': '2025-01-01T12:00:00Z',
  'properties': {'position': 2, 'experiment_variant': 'B'},
  'schema_version': 1
}

Unlock Full Question Bank

Get access to hundreds of Analytics Platforms and Dashboards interview questions and detailed answers.

Join thousands of developers preparing for their dream job.