Data Analyst, Revenue Operations
Data Analyst in Revenue Operations responsible for building revenue reporting, predictive models in BigQuery ML, Tableau dashboards, and data quality processes to drive sales, go-to-market, and operational decisions. Requires 2-5 years analytical experience, strong SQL, and CRM familiarity.
About the job
Key Responsibilities
- Build and maintain core revenue and customer-lifecycle reporting for sales and revenue leadership visibility into performance, trends, and business health.
- Develop and operationalize segmentation and predictive models in BigQuery ML for go-to-market targeting and account prioritization.
- Lead migration of dashboards from legacy datasets and BI tools into Tableau, including documented data lineage and custom measures.
- Establish data quality and reconciliation practices to resolve entities across source systems and distinguish net-new from existing customers.
- Partner with teams across the organization to translate ambiguous requests into concrete reporting deliverables.
- Deliver ad-hoc and recurring analyses supporting Sales, Business and Technical Operations, Revenue, Sales Enablement, Support, and other teams.
- Produce core revenue and customer-lifecycle reporting with validation logic reconciling against source-of-truth figures.
- Author complex SQL in BigQuery using multi-CTE pipelines, window functions, user-defined functions, and array aggregation; build reusable views.
- Build and refine segmentation and clustering models in BigQuery ML, including feature engineering, look-alike discovery, and cluster profiling.
- Size addressable-market and ideal-customer opportunities, quantify whitespace and upsell potential.
- Perform entity resolution across source systems using fuzzy matching, normalization, and confidence scoring.
- Develop and maintain Tableau dashboards; lead migration with documented lineage, custom measures, and visual mappings.
- Maintain knowledge of data sources and adapt models/reporting as schemas change.
- Translate ambiguous stakeholder requests into reporting specifications.
- Contribute to data discipline, continuous improvement, and analytical excellence in Revenue Operations.
Skills & Experience
- 2–5 years of experience in data analysis, revenue operations analytics, business intelligence, or similar analytical role.
- Strong SQL proficiency with hands-on experience in BigQuery; familiarity with BigQuery ML a plus.
- Experience building and maintaining dashboards in Tableau or comparable tools.
- Experience with data modeling and designing reusable views.
- Familiarity with entity resolution and data quality techniques, including fuzzy matching and cross-platform reconciliation.
- Strong analytical skills to surface trends, identify gaps, and translate data into recommendations.
- Experience working with CRM data (Salesforce preferred) and revenue/go-to-market datasets.
- Ability to move between structured reporting and ambiguous ad-hoc requests.
- Strong written and verbal communication skills for partnering with technical and non-technical stakeholders.
- Independent work ethic in a fast-paced environment.
Benefits
- Competitive salary + bonus
- Remote first culture
- Flex PTO
- Health, Dental and Vision Insurance
- 13 Paid Holidays
- Company volunteer days
Skills
SQL, BigQuery, Bigquery Ml, Tableau, Data Modeling, Entity Resolution, Fuzzy Matching, Salesforce, CRM, Data Visualization, Predictive Modeling, Clustering Models
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