Jobs
Required skills
SQL
Excel
Machine Learning
Project Management
Job Summary:
Search Engine Optimization (SEO) Analyst (Live Nation Worldwide, Inc.; Beverly Hills, California): Analyze website performance metrics to identify opportunities for improvement. Track key performance indicators (KPIs) to measure the success of SEO initiatives. Conduct in-depth analyses of organic search traffic, rankings, and conversions. Monitor and assess the impact of large-scale content development on SEO performance. Develop and maintain comprehensive SEO dashboards to visualize key metrics. Extract, process, and analyze large datasets to generate actionable insights, leveraging/building ETLs and creating visualizations to communicate insights. Create website crawl to analyze user and search bot indexability and content rendering, ensuring optimal performance and visibility. Implement SEO regression monitoring to protect SEO performance. Monitor and optimize website performance factors related to SEO. Conduct keyword research and competitive analysis to identify growth opportunities. Develop and implement SEO strategies aligned with business objectives. Optimize both on-page and off-page SEO elements to improve search engine rankings. Build high-quality backlinks to enhance website authority. Leverage machine learning and predictive analytics to forecast trends and optimize campaigns. Conduct A/B testing to optimize website elements for better performance. Collaborate with cross-functional teams to ensure alignment on SEO goals. Communicate insights and recommendations effectively to stakeholders. Stay up to date with the latest SEO trends and algorithm updates. Share expertise and best practices to develop sound strategies for future projects. Telecommuting anywhere in the U.S. permitted.
Salary: $101,712 - $106,800 per year
Education Requirements: Master’s degree or foreign equivalent in Computer Science, Information Technology, or related field.
Experience Requirements: One (1) year of experience as SEO Analyst or related occupation.
Must have experience with the following: writing and running SQL queries; Web Performance tools: Google Analytics Premium, Google Search Console, rank tracking; database management systems: Databricks, BigQuery, DOMO; SEO software tools: Semrush, Screaming Frog, Oncrawl, and SEO Clarity for technical audits; analyzing large quantities of data creating complex formulas, pivots, and models using Excel, PowerPoint, Google Sheets; project management overseeing multiple initiatives and rollouts; defining and executing tests based on a specific set of assumptions/hypothesis and goals, iterating, and continuing improvements; and digital media and e-commerce business models. Skills may be gained through academic coursework and concurrently while pursuing academic studies.
To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position.
Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.
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About Live Nation

Live Nation
PublicLive Nation Entertainment, Inc. is an American multinational entertainment company that was founded in 2010 following the merger of Live Nation and Ticketmaster. It continues to operate both brands as subsidiary companies, promoting and managing ticket sales for live entertainment internationally.
10,001+
Employees
Beverly Hills
Headquarters
$12.5B
Valuation
Reviews
4.0
10 reviews
Work-life balance
3.2
Compensation
3.4
Culture
4.3
Career
4.0
Management
3.8
75%
Recommend to a friend
Pros
Great people and team atmosphere
Flexible scheduling
Fun work environment with events
Cons
Low pay relative to responsibilities
Very long working hours
Fast-paced and demanding environment
Salary Ranges
60 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · BI Data Engineer
3 reports
$188,500
total per year
Base
$145,000
Stock
-
Bonus
-
$130,000
$195,000
Interview experience
2 interviews
Difficulty
2.0
/ 5
Duration
21-35 weeks
Offer rate
50%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Group/Panel Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Culture Fit
Customer Service Scenarios
Technical Knowledge
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