Description

Position at Consumer Tech

The Opportunity:

We are looking for a highly skilled and intellectually curious Senior Business Intelligence Analyst to completely modernize how we extract, automate, and present data. This role sits at the exact intersection of AI automation and data storytelling. We need a hands-on builder with 3 to 5 years of experience who can translate complex data models into trusted, easily digestible insights.

This is not a backend data engineering or data science role. Our data is already structured in Snowflake and BigQuery. We need an analyst who is a wizard with SQL and BI tools, knows how to connect AI APIs (like Claude or Gemini) to automate routine analysis, and can package those insights into clear, business-ready slides.

You will act as your own stakeholder. We expect you to bring a proactive, consulting mindset - architecting robust data pipelines, using cutting-edge generative AI technologies to automate manual reporting, and stepping up to confidently deliver a "single version of truth" to leadership without waiting for a script.

Key Responsibilities:

• Be a true stakeholder and lead data-driven alignment meetings across all major business dependencies, explaining complex data narratives clearly to non-technical teams.
• Connect our existing cloud data platforms (Snowflake / BigQuery) with advanced language models (Claude, Gemini, OpenAI) using APIs and connectors to automate routine data discovery, anomaly detection, and performance summaries.
• Develop and optimize intuitive Looker Explores and dashboards using LookML to ensure our cross-functional teams have a single, accurate version of the truth for all commerce metrics.
• Move away from generic data dumps. Build specific, actionable reports for Editorial, Sales, and Finance, dynamically slicing the data to uncover root causes and category-level trends when basic metrics drop.
• Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and a single version of truth across all financial and commerce datasets.
• Run data alignment meetings and proactively drive the business conversation. Partner with Editorial and SEO teams to optimize content monetization and work with Product to enhance user conversion funnels.
• Act as the internal champion for practical AI use. Train and mentor the existing analytics team on how to use generative AI tools, prompt engineering, and database connectors to speed up their daily reporting tasks.

Job Qualifications:

• 3-5 years of hands-on experience in business intelligence, data analytics, or a highly consultative data role. We are looking for a hungry, upward-trajectory builder.
• Beyond SQL and Looker, you are an absolute surgeon in Excel (advanced modeling, pivots, complex formulas) and highly skilled at building compelling, executive-level pitch decks (Google Slides / PowerPoint).
• Direct, practical experience utilizing AI to automate workflows. You know how to set up connectors, write advanced prompts, and leverage LLMs (Claude, Gemini) alongside SQL databases to automate data analysis.
• Intermediate-level SQL skills with strong, daily hands-on experience querying enterprise cloud data platforms (specifically Snowflake, BigQuery, or GCP).
• Deep experience with modern BI platforms (Looker, Tableau, Power BI) to design complex, user-friendly, and scalable dashboards. If you have specific experience with Looker and LookML, that is a strong advantage.
• Exceptional communication and storytelling skills. You must be able to translate complex data into clear, non-technical business terms and confidently run meetings with senior stakeholders.

Preferred Qualifications:

• A strong grasp of e-commerce and site performance metrics, including conversion rate (CVR), click-through rate (CTR), revenue per visit (RPV), and traffic sourcing.
• Familiarity with performance tracking and affiliate marketing networks (Impact, Partnerize, Rakuten, CJ, Amazon Associates).
• Bachelor's degree in Data Analytics, Business, Economics, Information Systems, or a related field.

Special Working Conditions:

• This role requires working on major shopping holidays (e.g., Black Friday, Cyber Monday, Prime Day) to monitor live data analysis, provide insights, and system integrity.
• Shift Timings: EST hours

Compensation Range:

Ziff Davis provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $85,000 to $95,000. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.

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