General Technical Tool Proficiency Questions

Familiarity and practical experience with technical productivity and analysis tools such as SQL, Python or R, data visualization platforms like Tableau and Power BI, Excel, and statistical or analytical software. Candidates should be able to describe depth of expertise, typical use cases, examples of real world applications, automation or scripting practices, and how they select tools for different problems. This topic includes discussing reproducible workflows, data preparation and cleaning, visualization best practices, and integration of tools into cross functional projects.

HardSystem Design

0 practiced

Design an end-to-end reproducible analytics workflow for a team that needs: reproducible notebooks, tested SQL models, versioned data transformations, and automated deployments to production dashboards. Include components (git, CI, dbt, Airflow, containerization, package management), how environments (dev/stage/prod) are isolated, and how you ensure reproducibility of results.

MediumTechnical

0 practiced

In Tableau, you need to compute customer lifetime value (LTV) per acquisition cohort using Level of Detail (LOD) expressions. Given an orders table (user_id, order_date, amount, acquired_date), explain which LOD expressions you would use to compute per-user total revenue and then aggregate by acquisition cohort. Provide the formulas and a short explanation.

HardTechnical

0 practiced

Design SLOs and an alerting strategy for feature data used by ML models and downstream dashboards. Define meaningful SLOs for freshness, completeness, and distribution drift of features, describe how to measure and detect drift (statistical tests or distance metrics), and explain alerting/mitigation steps when SLOs are violated.

HardTechnical

0 practiced

You are given a slow analytic SQL query that uses multiple window functions and joins across large tables (50M+ rows). Show how you would rewrite or refactor the query to improve performance (e.g., pre-aggregate, materialized tables, reduce partitions, avoid repeated window work). Provide an example rewrite and justify choices.

EasyTechnical

0 practiced

You have a transactions table:

transactions(
  transaction_id INT PRIMARY KEY,
  user_id INT,
  product_id INT,
  amount DECIMAL(10,2),
  occurred_at TIMESTAMP
)

Write an ANSI SQL query that computes total revenue per product for each month for the last 6 complete months, and then returns the top 5 products ranked by total revenue across that 6-month window. Explain briefly how you handle time zones and NULL/negative amounts in your query.

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