Marketing Analytics, Data Visualization Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop executive-level dashboards and reports that encompass Marketing performance, pipeline metrics, funnel conversion, campaign effectiveness, attribution, and ROI.

• Establish uniform KPIs, metric definitions, and visualization standards across the Marketing department.

• Transform intricate data into straightforward business insights and actionable recommendations.

• Enhance reporting through self-service analytics, automation, and AI-assisted insights generation.

• Integrate and model data across Salesforce, Snowflake, HubSpot, and other go-to-market (GTM) systems.

• Create scalable analytical and semantic models that support comprehensive funnel reporting and attribution.

• Build reliable sources of truth through data governance, documentation, lineage, quality assurance, and reporting certification.

• Collaborate with Marketing Operations, RevOps, Finance, Data teams, system owners, Marketing leadership, and cross-functional teams.

• Assess AI tools, platforms, and architecture for Marketing analytics, reporting, visualization, and business intelligence.

• Articulate requirements that support AI agents and workflows.

• Develop AI-driven analytics capabilities such as conversational reporting, automated insights, and intelligent visualization.

• Engage in architecture decisions concerning MCP, APIs, Snowflake, Salesforce, BI platforms, and other enterprise data technologies.

• Detect performance gaps, pipeline leakage, and opportunities for funnel optimization.

• Convey findings and recommendations with clarity and executive presence.

⛳️ Requirements

• Over 5 years of experience in Marketing Analytics, Marketing Operations, Business Intelligence, Data Visualization, or a related area.

• Proficient in BI and visualization platforms such as Tableau, Power BI, Looker, or similar tools.

• Comprehensive understanding of Salesforce CRM data structures and B2B marketing funnel metrics.

• Experience with enterprise data platforms like Snowflake, Databricks, BigQuery, Azure, or similar technologies.

• Strong SQL and data modeling capabilities with experience in connecting data across multiple business systems.

• Familiarity with attribution, pipeline reporting, campaign measurement, and Marketing ROI.

• Solid business acumen and the ability to translate complex data into clear insights for executives.

• Experience with AI tools, agentic workflows, or AI-driven analytics, such as Claude, ChatGPT, Snowflake Cortex, Cursor, or similar technologies.

• Knowledge of MCP, APIs, semantic models, structured prompting, JSON, or context engineering.

• Experience with dbt, Python, R, or similar analytics technologies.

• Background in high-growth B2B SaaS, cybersecurity, or enterprise technology.

• Compliance with Saviynt’s information security and privacy policies and procedures, including annual security training.

🏝️ Benefits

• Competitive total rewards package.

• Opportunities for learning and advancement in your career.

• Eligibility to participate in a discretionary bonus plan.