Relevant Technical Experience and Projects Questions

Describe the hands on technical work and projects that directly relate to the role. Cover specific tools and platforms you used, such as forensic analysis tools, operating systems, networking and mobile analysis utilities, analytics and database tools, and embedded systems or microcontroller development work. For each item explain your role, the scope and scale of the work, key technical decisions, measurable outcomes or improvements, and what you learned. Include relevant certifications and training when they reinforced your technical skills. Also discuss any process improvements you drove, cross functional collaboration required, and how the project experience demonstrates readiness for the role.

MediumBehavioral

0 practiced

Describe a cross-functional project where you worked with data engineers and product managers to define KPIs and instrumentation for a new product feature. Explain how you translated product requirements into measurable metrics, what schema/events were implemented, data pipeline changes, and the measurable business impact of the instrumentation.

MediumSystem Design

0 practiced

Describe how you implemented CI/CD for BI artifacts including SQL models, LookML, and dashboard assets (Tableau/Power BI). Cover the tooling used (Git, Azure DevOps, Jenkins), branching strategy, automated tests (linting, unit/data tests), deployment pipelines for dev/staging/prod, and your rollback plan for failed deployments.

MediumTechnical

0 practiced

Explain how you would implement row-level security (RLS) for multi-tenant dashboards in Power BI, Tableau, and Looker. Describe mapping user identity to tenant IDs, secure permission stores, performance implications of RLS filters, testing strategies, and how to manage group-based access changes.

MediumTechnical

0 practiced

Write a SQL query that computes month-over-month percentage change in revenue per product_category. Ensure you safely handle cases where the previous month's revenue is zero or NULL to avoid divide-by-zero errors. Provide sample output columns: category, month, revenue, pct_change.

EasyTechnical

0 practiced

In Excel Power Query (M), describe how you would unpivot a table that has monthly columns (Jan, Feb, Mar...) into a normalized rows format with columns [Month, Value]. Explain the steps, why unpivoting is preferred for BI workflows, and how it supports downstream aggregations and dashboards.

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