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Search Ranking Analyst Jobs (NOW HIRING)

Thorough knowledge of search ranking and optimization factors and key algorithm updates. * Proficiency in web analytics software and keyword tools. * Experience with data-driven SEO analysis and ...

Thorough knowledge of search ranking and optimization factors and key algorithm updates. * Proficiency in web analytics software and keyword tools. * Experience with data-driven SEO analysis and ...

Build search-ranking, marketplace-matching, and dispatch models for a two-sided local marketplace ... Design and analyze experiments (A/B, switchback) to prove causal impact in a marketplace setting.

Build search-ranking, marketplace-matching, and dispatch models for a two-sided local marketplace ... Design and analyze experiments (A/B, switchback) to prove causal impact in a marketplace setting.

WI · On-site

$90 - $130/hr

... ranking, and AI search citation goals. The approaches include but are not limited to keyword research, competitive analysis, industry trend analysis, user behavior analysis, and the latest AI search ...

Showing results 41-60

Search Ranking Analyst information

See salary details

$11K

$63.6K

$76.5K

How much do search ranking analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for search ranking analyst in the United States is $63,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $71,500.00 per year, depending on experience, location, and employer.

What is a search ranking analyst?

Search Ranking Analysts are professionals who evaluate and optimize the relevance and quality of search engine results. They analyze how websites and web pages are ranked by search engines like Google or Bing, often using data and evaluation tools to improve search algorithms. Their work helps ensure that users receive accurate and useful results for their queries. They may be involved in tasks such as testing search results, providing feedback, and identifying trends or areas for improvement. Search Ranking Analysts typically have strong analytical skills and a good understanding of how search engines function.

What are some typical challenges a search ranking analyst faces when optimizing search algorithms?

A Search Ranking Analyst often encounters challenges such as balancing relevance and diversity in search results, handling ambiguous queries, and adapting to ever-changing user behaviors. Additionally, analyzing large volumes of data to identify patterns and test algorithm changes can be complex and time-consuming. Collaborating closely with data scientists, engineers, and product managers is essential to ensure that improvements align with business goals while maintaining a positive user experience.

What are the key skills and qualifications needed to thrive as a search ranking analyst, and why are they important?

To thrive as a Search Ranking Analyst, you need strong analytical skills, a solid understanding of SEO principles, and experience with web analytics, typically supported by a degree in marketing, computer science, or a related field. Familiarity with tools like Google Analytics, SEMrush, Ahrefs, and search engine algorithms is essential for analyzing and improving website rankings. Attention to detail, critical thinking, and effective communication are standout soft skills for interpreting data and collaborating across teams. These abilities are crucial for delivering actionable insights that drive traffic, improve visibility, and support business objectives.

What does a search ranking analyst do?

A search ranking analyst evaluates and improves the visibility of websites or content in search engine results. They analyze search data, monitor ranking performance, and use tools like SEO software to optimize content and strategies for better search rankings.
More about Search Ranking Analyst jobs
Infographic showing various Search Ranking Analyst job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 17% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $63,611 per year, or $30.6 per hour.

Manager III, Software Dev, Search Science Data Infra

Amazon

Palo Alto, CA • On-site

$134K - $161K/yr

Full-time

Re-posted 12 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,154 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Amazon Search creates customer-focused product search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our systems go to work. We delight customers when we accurately understand their intent expressed via a natural language query and/or image, and reflect that understanding throughout the search page - from layout to the search results and navigation.

We make shopping effortless by helping customers easily explore our vast selection, narrowing down a myriad of options to a manageable consideration set through a personalized experience while providing key information to make high confidence decisions with low post-purchase regret
Search Science Data Infrastructure (SSDI) team is responsible for delivering high quality and fresh ML model training data, and providing seamless access to all ML artifacts through federated Feature Store infrastructure. This platform provides the ML training data and real-time signals / embeddings for inferencing to Amazon search ranking, matching quality, search economics and also powers live-site features, including search suggestions, query understanding, spelling, search result ranking, and personalization. Furthermore, 450+ teams across Amazon consume our datasets to power analytics and behavioral models.

We are located in downtown Palo Alto, a short walk from numerous shops and restaurants, and right across from the Caltrain station.
Key job responsibilities
- Establish a culture fueled with customer-obsessed innovation and engineering excellence
- Build training data systems to provide high-quality customer engagement signals as a feedback loop to the search ranking and matching models powering the Amazon Search experience
- Engage closely with the team and provide technical leadership, strategic direction, and oversight to ensure timely delivery with high quality
- Mentor the professional development of each direct report through personal and performance management
- Attract, excite, grow, and retain top engineering talent
- Build strong relationships with your customers, peers, and stakeholders
A day in the life
Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems. Our products and services empower hundreds of science teams across Amazon to deliver machine learning at scale for ML model training, Feature engineering and Data quality monitoring. You will be at the center stage for managing machine learning lifecycle and operations using AWS AI services, DL compute resources, and our core search backend services for query understanding, semantic matching, and relevance ranking

You will drive to provide a world class platform for Amazon Search engineers to comprehensively observe and introspect their applications and services both pre and post deployment to our large scale inference services. You will drive a scalable data-intensive infrastructure that processes huge amounts of logs, catalogs, transactional data, and telemetry signals. By doing so, we enable teams to become more data-driven and build robust and explainable ML services.

You will work with partners on training data experimentation to advance Amazon product search, making it available across all geographic regions with variety of product search and discovery use cases across many categories.


What Amazon employees say

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Benefits

Hours and flexibility

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US