Top 50 operational data Interview Questions
The most frequently asked operational data questions across all roles and companies, ranked by real interview frequency. Updated daily.
Use operational metrics to find where work slows down, isolate root causes, and turn the analysis into repeatable improvements.
Invitation Homes
Hewlett Packard Enterprise
GrabExplain how to normalize inconsistent source date formats in Power Query and validate the resulting date-quality metric.
DeloitteInvestigate why revenue is rising while profit falls, including metric decomposition and missing-value treatment.
American Credit AcceptanceExplain a Python and PySpark workflow for retrieving data, processing metrics, and safely converting Spark DataFrames to Pandas.
Explain how to identify, treat, and communicate erroneous or missing data without distorting KPI results.
Define a density- and composition-adjusted KNN segregation metric comparable across forests and observation periods.
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Assesses your ability to query and analyze operational data to drive decisions.
Qvc international
PeoplesBankTests your SQL proficiency for operational analytics and decision support.
Fedex ServicesIdentify each user's consecutive website activity streaks using date arithmetic and SQL window functions.
Intuit Management Consultancy
Chewy
AllstateFind the three longest assay-duration ranks within each department, including ties, using PostgreSQL dense ranking.
St. Jude Children's Research HospitalCalculate each study's six-month rolling average of patient enrollment using PostgreSQL window functions.