Revenue Operations Data Analyst

Nozomi Networks

3d•Remote

About The Position

Nozomi Networks is seeking a Revenue Operations Analyst to ensure the accuracy, hygiene, and integrity of their Go-To-Market (GTM) data. This role involves transforming data into reliable reporting and analysis for Sales, Customer Success, Finance, and Executive leadership. The position focuses on two main areas: Data (owning data hygiene, governance, and process integrity across GTM systems) and Analytics (building reporting and analysis to support Sales and executive stakeholders).

Requirements

3-5 years of experience in a data, reporting, analytics, or BI-focused role, ideally supporting Sales, GTM, or Revenue Operations.
Demonstrated experience owning data quality, hygiene, or governance processes.
Demonstrated experience working cross-functionally with business stakeholders to translate needs into reliable, scalable analytics solutions.
Ability to work effectively with AI-assisted tools while applying sound professional judgment and accountability for outputs.
Demonstrable experience using AI-enabled tools as part of day-to-day work activities to improve efficiency, quality, or decision-making.
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

Strong attention to detail and a process-oriented mindset.
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.
Solid understanding of data modeling concepts (star/snowflake schemas, fact/dimension design, semantic layers).
Familiarity with Salesforce data structures, data governance, and reporting.
Advanced MS Excel skills (pivot tables, advanced formulas, Power Query).
Data storytelling and visualization skills, with the ability to translate analyses into clear, decision-ready narratives.
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.
Experience with SQL, cloud data warehouses (e.g., BigQuery, Snowflake, Redshift, Databricks), Python or R, and version control (Git) is a plus.
Exposure to Customer Success metrics (health scores, renewals, churn/retention analysis) is a plus.

Responsibilities

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 to ensure a single, trusted source of truth.
Build and maintain reusable data models and dataset pipelines for reliable, repeatable reporting.
Design, build, and maintain dashboards and reports using Power BI and/or similar BI tools to support Sales and executive stakeholders.
Conduct analyses on pipeline, forecasting, conversion, win/loss, and productivity to identify trends and recommend actions.
Automate recurring reporting workflows and replace manual spreadsheets with scalable, governed BI solutions.
Document data definitions, KPI logic, and reporting processes, and train end users on dashboards and self-serve analytics best practices.
Identify and resolve bottlenecks in data and reporting workflows, recommending improvements to data architecture, tooling, and processes.
Grow into a Customer Success analytics and operations advisor, supporting CS reporting, health-score/renewal analysis, and ad-hoc analytics.