Senior SEO Data Analyst

Hearst · New York City, NY

Company

Hearst

Location

New York City, NY

Type

Full Time

Job Description

Senior SEO Data Analyst

Hearst Newspapers is seeking a Senior SEO data analyst to join the Business Intelligence team focused on organic search growth for three HNP properties: SFGate.com, Chron.com and MySanAntonio.com.

HNP is looking for an analyst who is passionate about SEO, journalism, and digital audience growth. As a member of HNP's Business Intelligence team, this role will be dedicated to supporting search efforts across news, evergreen, and commerce. The analyst will work in lockstep with the Performance Content team to provide the necessary data insights required to drive organic search growth.

The ideal candidate will have 3+ years of SEO analysis experience, ideally within a news environment. The candidate best fit for this role is someone who is a data ace, has a solid understanding of SEO - including best practices and technical understanding - and has a track record of translating data into actionable insights.

Responsibilities:

  • Work closely with, and in direct support of, our Performance Content Team, editorial teams, and product team to deliver effective data, reporting and insights to grow our SEO acquisition efforts.
  • Establish and maintain KPI tracking and monitoring framework and build reporting systems to ensure efficient and comprehensive metrics tracking on a regular basis.
  • Combine your existing best-practice knowledge with analysis skills in order to identify opportunities for growth related to both content and technical SEO.
  • Own the analytics for SEO tests and initiatives to ensure projects are properly tracked and important insights are translated to key stakeholders.
  • Use site auditing and other SEO tools and reports to track content and technical performance and identify areas of improvement.
  • Become a proactive member of a small but growing team dedicated to driving search growth within a legacy newspaper environment.
  • Work collaboratively across teams, including business intelligence, editorial, revenue and product.
Requirements

  • 3+ years of dedicated SEO analysis experience, focusing on data.
  • Experience working in a digital media environment is preferred.
  • Solid understanding of Google algorithms and the intersection specifically with news content.
  • Strong understanding of technical SEO, including the ability to recognize and identify indexing and crawl issues.
  • Deep understanding of key search performance metrics.
  • Fluency with SEO data tools such as Google Search Console, Botify, Screaming Frog, SemRush, or similar.
  • Fluency with analytics tools such as Google Analytics, Chartbeat, Parse.ly
  • Fluency with a BI/Visualization tools such Looker, PowerBI, or similar.
  • Proficiency with SQL for data analysis.
  • Experience with Python or R for data analysis
  • Experience preparing reports and sharing data insights with technical and non-technical stakeholders.
  • Ability to develop and test hypotheses based on findings from prior analyses.
  • Proven fluency in translating search data into actionable recommendations, be it presentations and strategic guidance for editorial teams, or technical specs for product and engineering.
  • Strong communication & collaboration skills. This is a highly collaborative role working across multiple technical and non-technical teams.
  • Passion for SEO and a desire to stay current on the latest trends and industry changes.
  • Good project management skills with experience managing multiple projects for different teams at one time.
In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in New York City. The reasonable estimate, if hired in New York, is $100,000-$120,000 Please note this information is specific to those hired in New York. If this role is open to candidates outside of New York, the salary range would be aligned to that specific location. A final decision on the successful candidate's starting salary will be based on a number of permissible, non-discriminatory factors, including but not limited to skills and experience, training, certifications, and education.

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Date Posted

03/08/2023

Views

6

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