Remote
Principal, Marketing Analytics
Chicago, Illinois · Principal · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$9,427 more — $108,077 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $108,077 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Market Research Analysts and Marketing Specialists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Market Research Analysts and Marketing Specialists (13-1161) · Chicago-Naperville-Elgin, IL-IN. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- About Remote Remote is solving modern organizations' biggest challenge - navigating global employment compliantly with ease.
- With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world.
- You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote.
Responsibilities
- Predictive LTV & Budget Optimization: Architect and maintain advanced Customer Lifetime Value (LTV) and predictive churn models.
- Brand & Organic Quantification: Establish the global standard for measuring non-paid marketing initiatives. Build robust, defensible frameworks for Share of Voice, brand sentiment, and organic compounding to justify long-term brand investments.
- Partner with Data Engineering and RevOps to design the upstream data infrastructure, ensuring information flowing through HubSpot, Salesforce, and Snowflake remains an unassailable "single source of truth."
- Organizational Multiplier & Mentorship: While this role has no initial direct reports, you will serve as the technical and strategic lead for the analytics org.
- Merge multi-touch attribution (MTA) with Media Mix Modeling (MMM) to build a unified view of both performance marketing and organic Top-of-the-Funnel (TOFU) streams.
Requirements
- Professional Experience: Distinguished track record in marketing analytics, business intelligence, or data science, with extensive experience specifically embedded in high-growth B2B SaaS or enterprise environments.
- Advanced Technical Mastery: Expert-level proficiency across the modern data stack.
- You are comfortable writing production-grade code, architecting data models in dbt, optimizing complex Snowflake environments, and leveraging AI/automation to scale analytical workflows.
- Distinguished track record in marketing analytics, business intelligence, or data science, with extensive experience specifically embedded in high-growth B2B SaaS or enterprise environments.
- Deep expertise in quantifying abstract, non-paid focus areas
- Architect-Level Attribution: Mastery in designing, scaling, and defending complex attribution frameworks (Multi-Touch, Media Mix Modeling, and Unified Measurement) across complex, non-linear enterprise buyer journeys.
- Macro-Funnel Vision: Deep expertise in quantifying abstract, non-paid focus areas
- a proven history of designing measurement frameworks for global brand health, organic ecosystems, Share of Voice (SoV), and long-tail market expansion.
- Advanced Technical Mastery: Expert-level proficiency across the modern data stack. You are comfortable writing production-grade code, architecting data models in dbt, optimizing complex Snowflake environments, and leveraging AI/automation to scale analytical workflows.
- Ecosystem Governance: Deep familiarity navigating and integrating enterprise CRMs and automation systems (Salesforce, HubSpot) with advanced BI ecosystems (Sigma, Tableau, Looker).
- Executive Gravitas & Communication: Exceptional ability to command a room of C-suite executives, transforming dense, highly technical data structures into high-impact strategic narratives that drive organizational change.
- Language: Professional fluency in written and spoken English.
- Remote-First Mindset: While experience working remotely isn't required, a strong knack for asynchronous communication, high autonomy, and self-driven documentation is highly valued.
Compensation
- Executive Planning & Capital Allocation: Partner directly with finance and marketing leadership to drive annual and quarterly planning. Own the macroeconomic forecasting models that dictate global budget allocation and ROI expectations.
Benefits
- flexible paid time off
- flexible working hours (we are async )
- 16 weeks paid parental leave
- budget towards co-working spaces, learning and wellness (including gym memberships)
- mental health support services
- As a global company, each country works differently, but some benefits/perks are for all Remoters:
- Strategic Vision & Predictive Modeling
- AI & Automation Pioneering: Standardize the deployment of AI, machine learning, and advanced automation within the marketing analytics stack to accelerate insight generation and eliminate manual reporting overhead.
- Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate.
Company info
- If you are energetic, curious, motivated and ambitious, be part of our world.
- At Remote we have international operations and a globally distributed workforce.
- We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.
This listing is sourced directly from Remote's careers page and normalized into a canonical job model.