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SkillTechnical

SQL

Proficiency in Structured Query Language for querying, transforming, and analysing data stored in relational databases and cloud warehouses — the most fundamental analytical skill in RevOps.

Day-to-day use

Writing ad-hoc queries against Snowflake to answer pipeline questions, building dbt models with window functions for cohort analysis, debugging a broken Looker explore by tracing the underlying SQL, and querying Salesforce data with SOQL.

Typical tasks

  • ·Querying closed-lost reasons by segment and time period
  • ·calculating NRR using window functions across subscription events
  • ·building pipeline velocity reports by stage
  • ·extracting data for compensation audits

Business outcome

SQL fluency allows RevOps practitioners to answer any data question independently — without depending on a data team — enabling faster, more accurate decision-making across all revenue functions.