Lead Data Analyst (Marketing Analytics)

TL;DR

Lead Data Analyst (Marketing Analytics): Optimizing hirify.global's growth engines and maximizing the impact of organic discovery with an accent on developing measurement frameworks for traditional search and AI-driven Large Language Model (LLM) discovery. Focus on driving insights that shape organic growth strategy and visibility in an AI-driven search landscape.

Location: This role will require 3 days in office in Lisbon, Portugal once we have an office open.

Salary: €57.000 - €89.000 EUR

Company

hirify.global Inc.’s family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled.

What you will do

• Create an analytics framework and metrics for evaluating LLM and traditional organic search performance.
• Extract and analyze data using SQL, Python, and R to discover insights into the customer journey from organic channels.
• Utilize Google Search Console (GSC) and SEMRush/Ahrefs to perform deep-dives into keyword performance and technical site health.
• Analyze hirify.global’s "Share of Voice" within AI discovery engines by tracking citations and sentiment in LLM-generated responses.
• Propose, design, and analyze incrementality tests using statistical tools.
• Present in key meetings and business reviews with marketing leadership to deliver insights.

Requirements

• A degree in Mathematics, Physics, Statistics, Economics, Computer Science, or a related field.
• Proven experience in marketing analytics with a background in organic search, segmentation, and technical SEO optimization.
• Strong SQL skills and proficiency in Python or R for manipulating large datasets.
• Deep experience with Google Search Console, SEO Clarity, Botify/Screaming Frog, and BI tools such as Looker or Tableau.
• Well-versed in marketing testing and statistical methods.
• Previous experience in a two-sided e-commerce marketplace will be highly regarded.

Culture & Benefits

• New office is expected to be fully operational by Q4 2026.
• Competitive benefits.
• Committed to building a diverse, inclusive, and equitable workforce.