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Текст:
Hirify AI/Оригинал
TL;DR
Senior Marketing Operations Analyst (AI & Data): Building an AI-ready marketing and GTM data foundation from source-system connectors and Snowflake through dbt models, semantic layers, dashboards, and governed insights with an accent on attribution, ABM measurement, data quality, and executive reporting. Focus on designing reliable pipelines, validating AI-generated answers, modeling account hierarchies, forecasting growth, and translating complex analysis into decisions for marketing and GTM leadership.
Location: Hybrid or remote in the United States; Portland is listed as an office location.
Company
hirify.global provides technology for managing and governing communications data, with this role supporting marketing and go-to-market analytics.
What you will do
Design and build an AI-ready marketing and GTM data foundation using source-system connectors, Snowflake, dbt models, semantic layers, dashboards, and governed metrics.
Own marketing data architecture, including ingestion, transformation, orchestration, curated models, reliable pipelines, monitoring, documentation, and SLAs.
Design and govern multi-touch marketing attribution, account-level influence, ABM measurement, engagement scoring, buying-group coverage, intent-to-pipeline conversion, and target-account progression.
Apply cohort analysis, funnel velocity, incrementality and test-and-control design, forecasting, and campaign and channel analysis to recommend budget and program-mix decisions.
Build executive-grade dashboards reconciled with Salesforce and finance data, support planning and business reviews, and govern shared definitions for MQL/MQA, SAL, sourced and influenced pipeline, CAC, and ROI.
Establish data quality, privacy, security, and governance standards; partner across Marketing, Sales, Customer Success, IT, Legal, and Security; and mentor analysts and Marketing Operations teammates.
Requirements
5+ years of experience in GTM, marketing, or revenue operations analytics, or business intelligence, ideally in B2B SaaS or technology.
Advanced SQL and hands-on experience with Snowflake or a comparable cloud data warehouse, including data-model design.
Hands-on experience building production-grade, tested, and documented dbt models.
Experience building or governing a semantic or metrics layer such as dbt Semantic Layer, LookML, Omni, or a BI-native equivalent.
Experience with ELT and orchestration tooling such as Fivetran, Airflow, or similar.
Deep knowledge of Salesforce data structures and Marketo or a comparable marketing automation platform.
Expertise in at least one major BI platform, including governed, self-serve dashboard design.
Experience designing and governing multi-touch attribution and ABM reporting, and explaining methodology and limitations to non-technical executives.
Practical hands-on use of AI tools in analytics and a clear perspective on AI-ready data.
Experience owning an analytics roadmap, influencing senior stakeholders with data, and communicating complex analysis as a concise business narrative.
Nice to have
Experience building or evaluating AI agents or LLM-based assistants over governed data models, including accuracy testing.
Python or R for statistical analysis, automation, forecasting, propensity, marketing mix, or incrementality analysis.
Marketo Measure (Bizible) administration or model-design experience.
Familiarity with sales engagement, conversation intelligence, data enrichment, hygiene, ABM/intent, and product analytics platforms.
Experience with annual planning, territory design, pipeline coverage modeling, or retention KPIs.
Experience in a regulated industry where data accuracy and auditability are especially important.
Bachelor's degree in Analytics, Statistics, Computer Science, Business, Marketing, or a related field, or equivalent practical experience.
Culture & Benefits
Hybrid or remote work arrangement in the United States.
Cross-functional collaboration with Marketing Operations, Demand Generation, Sales/Revenue Operations, Customer Success, IT/Data Architecture, Legal, and Security.
Applicable bonus programs are discussed during the recruiting process.
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