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Senior Business Intelligence Analyst – AI, Automation
Ziff Davis. Lead data-driven alignment meetings across major business dependencies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesBigQueryGoogle 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