Senior Analyst, Insights & Marketing Database

Location: Remote within the United States

Salary: $111,300–$178,100 annually in Colorado; $111,300–$196,700 annually in Washington; $111,300–$215,400 annually in California; $122,900–$215,400 annually in NYC. Eligible for an annual performance-based bonus.

Company

hirify.global provides an AI-first cloud compliance platform that connects tax and technology and processes tax returns and customer API calls at scale.

What you will do

• Own the health, structure, governance, hygiene, deduplication, enrichment, and integrity of marketing and customer data across CRM and marketing-automation platforms.
• Maintain segmentation logic, personas, lead-scoring inputs, lead routing, and audience distribution in partnership with Marketing Operations and Revenue Operations.
• Analyze end-to-end marketing performance across audiences, campaigns, pipeline, and revenue to identify trends, diagnose issues, and recommend improvements.
• Build dashboards, reports, self-service reporting frameworks, data-readiness metrics, and clear data stories for non-technical and senior stakeholders.
• Consolidate data from CRM, marketing automation, web analytics, product usage, pipeline, and revenue sources.
• Identify and operationalize AI use cases for data quality, segmentation, audience modeling, predictive analytics, automated insights, and reporting.

Requirements

• 5+ years of experience in marketing analytics, database marketing, marketing operations, business intelligence, revenue operations, or a related field.
• Hands-on experience managing marketing and customer databases, including segmentation, data quality, and audience management.
• Strong analytical skills and the ability to translate business questions into structured analyses, segmentations, and actionable insights.
• Proficiency writing and optimizing SQL across multiple data sources.
• Experience building dashboards and reports with Tableau, Power BI, Looker, or similar tools.
• Strong communication skills for explaining complex data concepts to non-technical and senior stakeholders.

Nice to have

• Experience in B2B SaaS, technology, fintech, compliance, data, or enterprise software.
• Familiarity with Python or R and data warehouse or modeling concepts such as Snowflake and dbt.
• Experience with AI, predictive analytics, automated insights, lead scoring, propensity modeling, householding, or audience sizing.
• Experience creating data governance models, documentation standards, or training materials.

Culture & Benefits

• AI is embedded in workflows, decision-making, and products, with daily opportunities to apply AI to business challenges.
• Paid time off, paid parental leave, and eligibility for performance-based bonuses.
• Benefits generally include private medical, life, and disability insurance, varying by location.
• Employee resource groups and a company commitment to diversity, equity, and inclusion.