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Marketing Analytics & Data Visualization Architect (Remote, USA)

1 week, 2 days ago
United States
Senior
Business Intelligence Analyst
Business Intelligence
Azure Cybersecurity Databricks dbt GCP HubSpot JSON Looker Power BI Python R Salesforce Snowflake SQL Tableau
Apply Now
Saviynt

Saviynt

Saviynt is the leading cloud identity governance platform providing access governance and intelligence solutions for critical applications on Cloud and Enterprise, ensuring operational efficiency, risk reduction, and simplified identity management.

Internet Software & Services
501-1000
Founded 2010
$170M raised
View All Jobs 26

Description

  • Build executive-ready dashboards for marketing performance, pipeline, funnel conversion, campaign effectiveness, attribution, and ROI.
  • Define consistent marketing KPIs, metric definitions, and visualization standards.
  • Translate complex data into actionable business insights and executive recommendations.
  • Modernize reporting through self-service analytics, automation, and AI-assisted insight generation.
  • Connect and model data from Salesforce, Snowflake, HubSpot, and other GTM systems.
  • Build scalable analytical and semantic models for full-funnel reporting and attribution.
  • Establish governed, trusted data sources through documentation, lineage, quality controls, and reporting certification.
  • Evaluate and help define AI tools, agents, workflows, and architecture for marketing analytics and visualization.
  • Partner with marketing leadership and cross-functional teams to address business questions, identify funnel gaps, and uncover optimization opportunities.

Requirements

  • 5+ years of experience in marketing analytics, marketing operations, business intelligence, data visualization, or a related field.
  • Experience with BI and visualization platforms such as Tableau, Power BI, Looker, or similar.
  • Deep understanding of Salesforce CRM data structures and B2B marketing funnel metrics.
  • Experience with enterprise data platforms such as Snowflake, Databricks, BigQuery, Azure, or similar.
  • Strong SQL and data modeling skills, including connecting data across multiple business systems.
  • Experience with attribution, pipeline reporting, campaign measurement, and marketing ROI.
  • Ability to translate complex data into clear executive insights and actionable narratives.
  • Experience with AI tools, agentic workflows, or AI-driven analytics, such as Claude, ChatGPT, Snowflake Cortex, or Cursor (preferred).
  • Familiarity with MCP, APIs, semantic models, structured prompting, JSON, or context engineering (preferred).
  • Experience with dbt, Python, R, high-growth B2B SaaS, cybersecurity, or enterprise technology (preferred).

Benefits

  • Growth and learning opportunities through challenging, customer-impacting work.
  • Welcoming and positive work environment.
  • Work on AI-powered GTM analytics and enterprise identity security technology.

Interested in this position?

Apply directly on the company website

Apply Now

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