The Challenge
Airtable (trusted by 80% of Fortune 100) needs an Analytics Engineer to be the data backbone of Marketing. You'll design canonical data models, build critical dashboards, and enable GTM teams to move fast with confidence—all while pioneering AI-assisted reporting for non-technical stakeholders.
Your Mission
Audit existing marketing data pipelines and establish data quality SLAs; document gaps and propose dbt migration roadmap
Build 3-4 foundational dashboards (campaign performance, funnel conversion, pipeline contribution, lead scoring) in Looker/Omni
Ship natural language query prototype or AI context layer proof-of-concept for marketing stakeholders
Become the go-to data partner: own weekly marketing analytics syncs and resolve all ad-hoc data requests within 24hrs
Own full lifecycle of canonical marketing data models (prototype → production); establish version control, testing, and governance in dbt
Scale self-serve tooling: eliminate 80% of ad-hoc data requests via dashboards and AI-assisted reporting features
Achieve expert mastery of Airtable's full marketing data stack (dbt, Databricks, Looker, Omni, GTM tools); document as internal knowledge base
Partner with Marketing leadership to define and track top 10 business metrics tied to revenue outcomes (CAC, LTV, conversion velocity)
KPIs You'll Own
Dashboard Self-Serve Rate
% of marketing stakeholders accessing dashboards directly vs. requesting ad-hoc reports (target: 85%+ by month 6)
Data Pipeline SLA Compliance
Uptime and timeliness of dbt pipelines delivering marketing data (target: 99.5% on-time delivery)
Time-to-Insight
Average hours from question asked to dashboard/memo delivered (target: reduce from current baseline by 60%)
AI Tooling Adoption
# of marketing stakeholders using AI-assisted reporting features monthly (target: 70%+ engagement by month 6)
Tools & Stack
Your Team
Your Manager
Head of Data Science & Analytics (or Marketing Analytics Lead)
Current Team
Data Science & Analytics team; embedded with Marketing GTM, demand gen, and leadership
New role to support high-growth Marketing organization
The Package
Salary
$85K-$120K base
Remote
On-site, Greater Syracuse-Auburn Area
Benefits & Perks
Company Intelligence
Airtable is the no-code platform trusted by 500K+ organizations (including 80% of Fortune 100) to transform how work gets done. The company powers critical business processes via flexible, code-free workflows. Founded 2012, well-funded with significant market presence in work automation.
Founded
2012
Customers
500,000+ organizations; 80% of Fortune 100
Culture
Data-driven, fast-moving, AI-native mindset; bias toward action and continuous learning
Is This Role For You?
- You live and breathe SQL, dbt, and BI tools—complex joins and window functions are daily language for you
- You use AI coding tools (Cursor, Claude, ChatGPT) as a core part of your workflow, not a gimmick; you have concrete examples to show
- You're 1–4 years in and hungry to own a full data stack end-to-end (design → production → partnership) at a fast-growing company
- You thrive translating complex data into clear business narratives for non-technical stakeholders; dashboards and memos are your canvas
- You're curious about how marketing data drives revenue outcomes and eager to pioneer AI-assisted analytics
- You're purely a BI analyst or ad-hoc reporter—this role requires dbt expertise, data modeling, and SQL depth
- AI tools are unfamiliar to you or feel gimmicky; you need to already be integrating them into daily coding practice
- You need remote work or prefer hybrid; this is on-site in upstate NY (Syracuse-Auburn area)
- You're uncomfortable owning end-to-end data pipelines and prefer working in silos on isolated dashboards
Interview Process
Phone Screening
30-min conversation about your analytics background, AI tool adoption, and why you're excited about marketing data
Technical Assessment
SQL case study (complex queries, optimization) + dbt design scenario; showcase your Cursor/Claude usage on the task
Portfolio & Live Demo
Walk through a dashboard or data model you've built; discuss design decisions, tradeoffs, and how you iterated
Marketing Stakeholder Panel
Meet 2-3 marketing leaders; discuss how you'd translate their data needs into dashboards and self-serve tools
Final Round with Head of Analytics
Deep dive on career trajectory, AI-native workflow philosophy, and how you'll grow into the domain expert role
Interested in this role?
Apply now and hear back within days, not weeks.
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