Sr Data Analyst, Search Marketing

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The Marketing Analytics team is looking for a Sr Data Analyst, Search Marketing who is, at their core, a strong analyst — sharp with data, comfortable in SQL, and genuinely fluent in the search landscape: how paid and organic search interact, how the SERP evolves, and how that translates into traffic and revenue. Al...

You'll be expected to arrive with a solid command of search marketing analytics and be able to work with a good degree of independence from day one. You'll partner closely with channel owners and stakeholders across the business, and help shape how less experienced analysts on the team approach search data.

You'll be expected to arrive with a solid command of search marketing analytics and be able to work with a good degree of independence from day one. You'll partner closely with channel owners and stakeholders across the business, and help shape how less experienced analysts on the team approach search data.
Analyze search performance. Dig into SEM and SEO data to understand what's driving traffic and revenue, and translate that into clear, actionable insight for the marketing team.
Ensure performance is properly measured. Make sure search channel performance is tracked accurately and reliably, and surface insights that help the team increase both performance and efficiency.
Support experimentation. Help design and analyze incrementality tests and experiments across search channels, ensuring results are measured rigorously and communicated clearly.
Track the SERP. Build a working understanding of how paid and organic search features interact, and help monitor the impact of Google algorithm updates on our performance.
Analyze the competitive and demand landscape. Track impression/click share, competitor positioning and search demand trends to uncover opportunities across the business — informing our bidding strategy and influencing supply acquisition. 
Stay ahead on AI search. Build an understanding of the evolving AI search landscape, track our presence in LLM and AI-generated responses, and turn those findings into concrete recommendations for our AI search strategy. 
Monitor daily trading. Keep a close eye on day-to-day search performance against targets, flagging trends and anomalies early.
Collaborate across channels and teams. Work with analysts on CRM, Display, and Affiliate Marketing, as well as ML colleagues, to spot opportunities where search insights connect to the bigger marketing picture.
Bring an AI-curious mindset to the work. Look for opportunities to use AI tools — for querying data faster, summarizing findings, or automating recurring reporting — and bring ideas back to the team on what's actually useful versus hype.
Build toward bigger business cases. Support the development of analyses and recommendations that improve search traffic and commercial outcomes over time.

A solid analyst first — SQL and structured thinking come naturally to you, and you enjoy getting into the details of the data
Data driven — you let the numbers guide the conversation, and you're comfortable challenging assumptions with evidence
Curious about search: you want to understand why something ranks, why traffic moved, and what it means for the business
A true team player — you work well with analysts from other channels, ML colleagues, and stakeholders across the business, and you're generous with your time and ideas
Genuinely interested in AI — you've played with AI tools yourself, and you're excited to grow your skills in that space rather than waiting for it to be handed to you
Comfortable asking questions and learning fast, without needing every answer to already be known
A clear communicator who can turn a messy dataset into a simple, useful takeaway
Self-motivated and able to work independently in a fast-moving environment, while still being a strong team collaborator
Bachelor's degree in an analytical field (Math, Economics, Statistics, Engineering, or related) required.
3-5 years in an analytical role, ideally at a fast-paced ecommerce company, with experience in Search Marketing Analytics a plus
Strong SQL skills and comfort working with large, complex datasets
Basic proficiency in Python
Experience with data visualization tools (e.g., Tableau, Looker)
Solid understanding of statistical testing and experimentation
Genuine personal interest in AI, with curiosity about applying AI tools to analytics work
Strong communication skills, able to present findings clearly to non-technical stakeholders
Familiarity with SEM, SEO, PPC, or content marketing concepts
More advanced programming experience in Python or R
Hands-on experience with AI-powered analytics or querying tools
Experience working in a matrixed, cross-functional marketing team