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Ziff Davis

Senior Business Intelligence Analyst – AI, Automation

Ziff Davis

. Lead data-driven alignment meetings across major business dependencies .

Posted 11/5/2026full-timeRemote • United StatesSenior💰 $85,000 - $95,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in data analytics and business intelligence, with advanced skills in SQL, Looker, and AI-driven automation. Capable of translating complex data narratives into actionable insights for non-technical stakeholders while leading cross-functional collaborations.

Highest-signal resume keywords
Advanced SQL SkillsLooker Development and LookMLData Analytics and Business IntelligenceAI Workflow AutomationExceptional Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLLookerLookMLData AnalyticsBusiness IntelligenceExcel ModelingDashboard DesignAPI IntegrationAnomaly DetectionPerformance Summaries
Soft Skills
CommunicationStorytellingMentoringCollaborationConsultative Skills
Tools & Technologies
SnowflakeBigQueryGoogle SlidesPowerPointTableauPower BIClaudeGeminiOpenAIGCP
Industry Keywords
E-commerceSite Performance MetricsCVRCTRRPVTraffic SourcingAffiliate MarketingImpactPartnerizeAmazon Associates

Tech Stack

Tools & technologies
BigQueryGoogle Cloud PlatformSnowflakeSQLTableau

About the role

Key responsibilities & impact
  • Lead data-driven alignment meetings across major business dependencies
  • Explain complex data narratives clearly to non-technical teams
  • Connect Snowflake and BigQuery with Claude, Gemini, and OpenAI using APIs and connectors
  • Automate routine data discovery, anomaly detection, and performance summaries
  • Develop and optimize Looker Explores and dashboards using LookML
  • Build actionable reports for Editorial, Sales, and Finance
  • Dynamically analyze data to identify root causes and category-level trends
  • Implement validation, monitoring, and reconciliation frameworks across financial and commerce datasets
  • Drive business discussions and deliver a single version of truth to leadership
  • Partner with Editorial and SEO teams to optimize content monetization
  • Work with Product to enhance user conversion funnels
  • Champion practical AI use internally
  • Train and mentor the analytics team on generative AI tools, prompt engineering, and database connectors

Requirements

What you’ll need
  • 3-5 years of hands-on experience in business intelligence, data analytics, or a highly consultative data role
  • Advanced SQL skills and daily hands-on experience querying Snowflake, BigQuery, or GCP
  • Deep experience with modern BI platforms, including Looker, Tableau, or Power BI
  • Experience designing complex, user-friendly, and scalable dashboards
  • Strong Excel skills, including advanced modeling, pivots, and complex formulas
  • Highly skilled at building executive-level pitch decks using Google Slides or PowerPoint
  • Practical experience utilizing AI to automate workflows
  • Experience setting up connectors, writing advanced prompts, and leveraging LLMs such as Claude or Gemini alongside SQL databases
  • Experience with Looker and LookML is a strong advantage
  • Exceptional communication and storytelling skills
  • Ability to translate complex data into clear, non-technical business terms and run meetings with senior stakeholders
  • Familiarity with e-commerce and site performance metrics, including CVR, CTR, RPV, and traffic sourcing
  • Familiarity with affiliate marketing networks such as Impact, Partnerize, Rakuten, CJ, or Amazon Associates
  • Bachelor’s degree in Data Analytics, Business, Economics, Information Systems, or a related field is preferred
  • Willingness to work on major shopping holidays, including Black Friday, Cyber Monday, and Prime Day
  • Ability to work EST hours

Benefits

Comp & perks
  • Comprehensive medical, dental, and vision coverage
  • Life and disability benefits
  • Flexible Spending Accounts (FSAs)
  • 401(k) with company match
  • Employee Stock Purchase Plan
  • Flexible Time Off
  • Volunteer Time Off
  • Paid holidays
  • Family building and caregiving support
  • Family Care and Parental leave
  • Fitness Reimbursement
  • Wellness programs
  • Employee Resource Groups
  • Company-sponsored events
  • Educational support
  • Mentorship programs
  • Career development resources
  • Employee engagement programs
  • Recognition awards