Revenue Strategy & Operations Associate
Analyzes GTM and pipeline data while running recurring Revenue Strategy operating cadences that support forecasting, resource allocation, and commercial decisions. Requires 2–4 years of analytical experience, strong SQL, Salesforce and warehouse fluency, BI experience, and rigorous communication.
About the job
Responsibilities
- Build and maintain recurring channel and pipeline analyses, including win rates by segment, geography, and channel; broker quoting and attribution analysis; and pipeline pacing against target.
- Maintain the analytical layer supporting pipeline quality and forecasting standards, including snapshot queries, coverage ratios, and stage conversion analysis.
- Flag forecast risks indicated by the data.
- Run recurring Revenue Strategy operating cadences end-to-end, including MBR/QBR data builds, forecast cycle preparation, and incentive program tracking such as SPIFs.
- Sequence dependencies, gather inputs from Sales, Finance, and Marketing stakeholders, and deliver work on schedule.
- Own the SQL layer used by Revenue Strategy, including clean, documented, reusable queries against Salesforce and Redshift.
- Maintain BI views so leadership’s standing metrics remain accurate and current.
- Support GTM systems changes from specification through rollout, including Salesforce data hygiene, field and flow changes, and downstream reporting validation.
- Perform ad hoc analysis for board preparation, QBR/MBR builds, segment analysis, territory analysis, and related requests.
Requirements
- 2–4 years of experience in GTM analytics, revenue operations, business operations, or a related analytical role at a high-growth technology company.
- Exposure to sales or revenue teams is strongly preferred.
- Strong SQL skills.
- Experience using Salesforce as a data source, Redshift or Snowflake, and a BI tool such as Sigma, Metabase, Tableau, or equivalent.
- Familiarity with core GTM metrics, including win rates, conversion, coverage, and unit economics.
- Ability to structure analyses, validate results, and distinguish reliable findings from misleading outputs.
- Ability to communicate analytical findings clearly and concisely, including their implications.
- Strong ownership and attention to data quality.
Nice to Have
- Experience with Python.
- Experience with dbt.
Compensation
- Estimated compensation range: $135,000–$142,000 USD.
Skills
SQL, Salesforce, Amazon Redshift, Snowflake, Sigma, Metabase, Tableau, Python, dbt, Business Intelligence, Data Analysis, Pipeline Forecasting, Revenue Operations
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