Marketing Analytics & Data Visualization Architect
New
S
SaviyntIdentity Security
Remote, USAFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLBusiness IntelligenceMicrosoft Power BISalesforceSnowflakeTableauData modelingHubSpotLooker
Requirements
- 5+ years in Marketing Analytics, Marketing Operations, Business Intelligence, Data Visualization, or a related discipline.
- Strong 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 with experience connecting data across multiple business systems.
- Experience with attribution, pipeline reporting, campaign measurement, and Marketing ROI.
- Strong business acumen and ability to translate complex data into clear executive insights.
- Experience with AI tools, agentic workflows, or AI-driven analytics, including Claude, ChatGPT, Snowflake Cortex, Cursor, or similar (preferred).
- Familiarity with MCP, APIs, semantic models, structured prompting, JSON, or context engineering (preferred).
- Experience with dbt, Python, R, or similar analytics technologies (preferred).
- Experience in high-growth B2B SaaS, cybersecurity, or enterprise technology (preferred).
Responsibilities
- Build executive-ready dashboards and reporting across Marketing performance, pipeline, funnel conversion, campaign effectiveness, attribution, and ROI.
- Define consistent KPIs, metric definitions, and visualization standards across Marketing.
- Modernize reporting through self-service analytics, automation, and AI-assisted insight generation.
- Connect and model data across Salesforce, Snowflake, HubSpot, and other GTM systems.
- Establish trusted sources of truth through data governance, documentation, lineage, and reporting certification.
- Partner in evaluating AI tools and architectures supporting marketing analytics and business intelligence.
- Develop AI-enabled analytics capabilities such as conversational reporting and automated insights.
- Present findings and recommendations to leadership with clarity and executive presence.
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