Work under channel analysts to answer complex, cross‑channel questions using AI‑assisted analysis
Produce concise insight briefs and recommendations that inform daily spend, pacing, targeting, and creative decisions
Maintain a backlog of analyst requests and a knowledge base of resolved analyses and learned patterns
Define requirements and partner with IT to provision, secure, and monitor AI agents that support analytics (e.g., task runners, detectors, and triage bots)
Operate or coordinate: Web Audit Bots: crawl brand and marketplace sites to detect analytics/tagging breaks, page‑speed and UX defects, broken links, schema/metadata gaps, inventory mis‑flags, and other conversion barriers; open tickets with evidence and priority
Paid/Social Monitoring Bots: ingest campaign, creative, and auction signals to flag spend inefficiencies, audience saturation, frequency/creative fatigue, placement anomalies, and flighting conflicts; recommend reallocations by resort and by day, including OTA travel ads
Competitive Intelligence Bots: track competitor paid and social presence to surface positioning, offer cadence, share‑of‑voice shifts, and creative patterns; summarize implications and opportunities for our channels
Ensure agents adhere to data governance, privacy, and security standards; document SLAs, observability metrics (precision/recall), and escalation paths
Work under the guidance of the Digital Performance Analyst (dashboard owner) to ensure AI capabilities are incorporated, governed, and leveraged effectively within dashboards
Stream agent findings (alerts, anomalies, opportunities) into dashboard tiles, Teams posts, and digest emails for rapid action by analysts and stakeholders
Maintain model/agent documentation (inputs, thresholds, false‑positive handling) and align with IT and data governance to keep dashboards reliable, auditable, and scalable
Provide analysis that informs content structure and discoverability (SEO + LLM/AI surfaces), including schema coverage, topical depth, and intent alignment
Correlate content signals with conversion barriers identified by web audit bots; recommend fixes that improve path‑to‑booking
Continuously evaluate new analytics, media, and agent frameworks; pilot proofs‑of‑concept with IT and document ROI
Standardize reusable prompts, playbooks, and operating procedures so capabilities scale to new marketplaces and brands with minimal lift
Requirements
Bachelor’s degree in marketing Analytics, Data Science, Information Systems, or related field
Masters preferred
Analytics certifications preferred
Demonstrated ability to operate in a supporting capacity under channel analysts
Strong analytical storytelling; ability to translate signals into clear recommended actions
Familiarity with paid media, travel ads, social, SEO, and marketplace data structures
Understanding of data governance, model/agent observability, and incident management
Power BI (modeling, DAX), Excel (advanced), SQL (read/query) with Snowflake familiarity
GA4 and tagging/UTM governance; exposure to ad platforms and social analytics
Experience configuring/working with AI agents or automation frameworks (e.g., task schedulers, monitoring pipelines); Python a plus
2+ years in data analytics/BI with exposure to paid media and web analytics; hospitality/travel/ecommerce preferred
Experience equivalent to the education requirement may be accepted in lieu of the education requirement
Tech Stack
Python
SQL
Benefits
Medical
Dental
Vision
Flexible spending accounts
Life and accident coverage
Disability
Depending on position, paid time off, parental leave and holidays (speak to your recruiter for additional information)
Wish day paid time to volunteer at an approved organization of your choice
401k with employer match (subject to eligibility requirements, including tenure
speak to your recruiter for additional information)
Legal and identify theft plan
Voluntary income protection benefits
Wellness program (subject to provider availability)