Revenue Operations Data Analyst

Nozomi is looking for a Revenue Operations Analyst to own the accuracy, hygiene, and integrity of our GTM data, and to turn that data into reporting and analysis that Sales, Customer Success, Finance, and Executive leadership can trust and act on. This role will be centered around: (1) Data — owning data hygiene, governance, and process integrity across our GTM systems; and (2) Analytics — building reporting and analysis that supports Sales and executive stakeholder.

In this role, you will:  

• Conduct analyses on pipeline, forecasting, conversion, win/loss, and productivity to surface trends and recommend action
• Design, build, and maintain dashboards and reports (Power BI and/or similar BI tools) to support Sales and executive stakeholders
• Document data definitions, KPI logic, and reporting processes; train end users on dashboards and self-serve analytics best practices
• Own the accuracy, cleanliness, and integrity of GTM data across Salesforce and related systems — identifying and correcting data quality issues, closing gaps, and preventing recurrence
• Define and maintain data hygiene standards, field definitions, and governance processes so the organization works from a single, trusted source of truth
• Automate recurring reporting workflows and replace manual spreadsheets with scalable, governed BI solutions
• Identify and resolve bottlenecks in data and reporting workflows, and recommend improvements to data architecture, tooling, and processes
• Build and maintain reusable data models and dataset pipelines that support reliable, repeatable reporting
• Grow into a Customer Success analytics and operations advisor — supporting CS reporting, health score/renewal analysis, and ad-hoc analytics

Requirements:

• 3-5 years supporting Sales, GTM, or Revenue Operations in a data/reporting & analytics role
• Demonstrated experience working cross-functionally with business stakeholders to translate needs into reliable, scalable analytics solutions
• Data storytelling and visualization skills, with the ability to translate analyses into clear, decision ready narratives
• Advanced MS Excel skills (pivot tables, advanced formulas, Power Query)
• Familiarity with Salesforce data structures, data governance, and reporting
• Demonstrated experience owning data quality, hygiene, or governance processes — comfortable owning data hygiene and governance as a core responsibility, not an afterthought
• Strong attention to detail and a process-oriented mindset
• Customer-centric, can-do attitude with the initiative and confidence to drive projects to completion with limited supervision
• Ability to manage concurrent projects, work in a fast-paced environment, and meet tight timelines
• Demonstrable experience using AI-enabled tools as part of day-to-day work activities to improve efficiency, quality, or decision-making, while applying sound professional judgement and accountability for outputs
• Hands-on experience building production dashboards in Power BI and/or Tableau. Strong proficiency with DAX and Power Query (M) for data modeling and calculations
• BA/BS degree in a quantitative or technical field (e.g., Analytics, Computer Science, Statistics, Economics, Engineering, Information Systems, or related discipline)

Nice to haves:

• Solid understanding of data modeling concepts (star/snowflake schemas, fact/dimension design, semantic layers)
• Experience with SQL, cloud data warehouses (e.g., BigQuery, Snowflake, Redshift, Databricks), Python or R, and version control (Git)
• Exposure to Customer Success metrics (health scores, renewals, churn/retention analysis)

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