TL;DR

Product Operation Analyst (Business Analytics): Lead and support Serverless Networking platform projects by building reports, dashboards, and orchestrating data pipelines with an accent on operational excellence and cross-functional collaboration. Focus on driving data-driven decision making, scaling support operations, and influencing senior stakeholders through actionable insights.

Location: Mountain View, California, USA (onsite)

Salary: $122,100–$162,700 USD

Company

%hirify_global% is a leading data and AI company providing a unified data intelligence platform used by over 10,000 organizations worldwide, including many Fortune 500 companies.

What you will do

Build reports and dashboards for monthly, quarterly, and executive-level reporting.
Orchestrate jobs using %hirify_global% Jobs and Lakeflow Declarative Pipelines with data validation and reconciliations.
Establish coding, data management, and documentation standards and best practices.
Drive operational alignment and product readiness by collaborating across Support, Product, Engineering, and Analytics teams.
Lead strategic initiatives to scale global Support operations including KPI frameworks and process enhancements.
Support planning cycles including headcount, capacity modeling, and budget alignment with Finance and Workforce Management.

Requirements

Location: Must be onsite in Mountain View, California, USA.
4+ years experience in data and analytics, preferably in SaaS or large tech companies.
Proficiency with SQL-based tools and BI visualization dashboards.
Strong communication and stakeholder management skills with ability to influence without authority.
Experience driving cross-functional initiatives and working in fast-paced, high-growth environments.
Data-driven decision-making mindset and strong process orientation.

Nice to have

Familiarity with %hirify_global% ETL tools.
Experience in Support Operations for SaaS companies.
Knowledge of Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows.
Operations, consulting, or strategy experience.

Culture & Benefits

Comprehensive benefits tailored to employee needs.
Commitment to diversity and inclusion in hiring and workplace culture.
Equitable compensation practices with transparent pay ranges.
Opportunities to work with cutting-edge data and AI technologies.