Nozomi Networks
Cybersecurity
RevenueOperationsDataAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Revenue Operations Data Analyst at Nozomi Networks. Skills: Reporting, Analytics, BI, Data modeling. Build production dashboards. Train end users on dashboards”
Industry & Context.
Identify and resolve bottlenecks
What They're Looking For.
Must Have
BAS degree in quantitative or technical field, 2-5 years experience in reporting, analytics, or BI role, Proven track record of delivering BI and analytics projects, Demonstrated experience working cross-functionally with business stakeholders, Ability to work effectively with AI-assisted tools
Nice to Have
Power BI and Tableau experience, Salesforce data structures and reporting experience, Python or R for data analysis experience, Version control (Git) experience
What You'll Do.
Build production dashboards
Train end users on dashboards
Train end users on self-serve analytics best practices
Identify bottlenecks in reporting workflows
Resolve bottlenecks in reporting workflows
Recommend improvements to data architecture
Recommend improvements to tooling
Recommend improvements to analytics processes
How You'll Work.
Team & Collaboration
Cross-functionally with business stakeholders
Communication Scope
Data storytelling; Executive-ready narratives
Process & Methodology
Manage concurrent projects, Work in a fast-paced environment, Meet tight timelines, Drive projects to completion
Full Job Description
Now is an amazing time to join Nozomi Networks as we build the future of OT and IoT cybersecurity. We defend some of the world’s largest organizations and critical infrastructure in more than 68 countries and we’re just getting started. Our AI-powered cybersecurity platform secures operational technology (OT) and Internet of Things (IoT) infrastructures for enterprises and government entities across energy, manufacturing, transportation, resources, and critical infrastructure. Nozomi is looking for a data-driven Reporting train end users on dashboards and self-serve analytics best practices Identify and resolve bottlenecks in reporting workflows, and recommend improvements to data architecture, tooling, and analytics processes Critical Skills: Hands-on experience building production dashboards in Power BI and/or Tableau (both is a plus) Strong proficiency with DAX and Power Query (M) for data modeling and advanced calculations Solid understanding of data modeling concepts (star/snowflake schemas, fact/dimension design, semantic layers) Experience working with cloud data warehouses (Google BigQuery preferred; Snowflake, Redshift, or Databricks also valued) Advanced MS Excel skills (pivot tables, advanced formulas, Power Query) Familiarity with Salesforce data structures and reporting is a strong plus Exposure to Python or R for data analysis, and version control (Git) is a plus Data storytelling and visualization skills, with the ability to translate analyses into clear executive-ready narratives Acute attention to detail, process-oriented mindset, and a customer-centric, can-do attitude Ability to manage concurrent projects, work in a fast-paced environment, and meet tight timelines Strong initiative and confidence to drive projects to completion with limited supervision Requirements: BA/BS degree in a quantitative or technical field (e.g., Analytics, Computer Science, Statistics, Economics, Engineering, Information Systems, or related discipline) 2-5 years of exper
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