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Marketing
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105924 Requisition #
Thanks for your interest in the Marketing Performance Data Analyst position. Unfortunately this position has been closed but you can search our 260 open jobs by clicking here.

 

MINIMUM REQUIREMENTS:

Education & Experience:

Bachelor degree in a relevant technical field and four years’ extensive experience or combination of education and relevant technical field experience solving analytical problems using quantitative approaches

Knowledge, Skills, and Abilities:

  • Proficiency in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Extensive experience in and strong passion for empirical research and answering hard questions with data.
  • Interpersonal and communication skills to positively convey findings and influence senior leadership & faculty.
  • Demonstrated experience querying, processing, analyzing, and reporting on large data sets.
  • Ability to use data retrieval and manipulation tools such as SQL, Brio Query, Business Objects, etc.in conjunction with visual data tools to present data clearly to non-technical audiences.
  • Familiarity and experience with intermediate statistical methods; advanced proficiency with statistical tools such as SPSS, SAS, R or similar tools.
  • Ability to tell stories with data using data visualization software such as Tableau, Excel, SPSS, or similar software in conjunction with strong verbal ability.
  • Ability to use visual data tools to present data clearly to non-technical audiences.
  • Flexible analytical approach allowing for results at varying levels of precision.
  • Familiarity with strategic planning concepts.
  • Excellent project management skills

Preferred/Desired Knowledge, Skills, and Abilities:

  • Marketing Analytics Expertise: Experience analyzing marketing campaign data across digital (SEO, PPC, email, social media) and traditional (print, broadcast) channels.
  • Attribution Modeling & Customer Journey Analysis: Understanding of multi-touch attribution models and user journey tracking to assess campaign effectiveness.
  • Predictive Analytics & Forecasting: Experience applying machine learning techniques or statistical modeling to forecast marketing trends and campaign outcomes.
  • Marketing Automation & CRM Systems: Proficiency in tools like HubSpot, Salesforce, or Marketo to track and analyze marketing engagement.
  • Google Tag Manager & UTM Tracking: Strong knowledge of campaign tracking mechanisms to ensure accurate data collection and performance evaluation.
  • A/B & Multivariate Testing Expertise: Experience designing experiments, analyzing test results, and optimizing content, email, and ad campaigns.
  • Web & UX Analytics: Familiarity with heatmapping tools (e.g., Hotjar, Crazy Egg) and usability testing methodologies to optimize website and landing page performance.
  • Marketing ROI & Budget Allocation: Ability to analyze campaign costs and returns to recommend budget distribution for maximum efficiency.
  • Competitive Benchmarking & Market Analysis: Experience assessing market trends, competitor performance, and audience insights to inform strategy.
  • Report Automation & Dashboarding: Expertise in creating real-time, interactive dashboards using Tableau, Power BI, or Google Data Studio.
  • Attention to Detail & Data Accuracy: Strong ability to ensure data integrity, troubleshoot discrepancies, and validate findings before reporting.

Certifications and Licenses:

  • None

 

PHYSICAL REQUIREMENTS*:

  • Constantly perform desk-based computer tasks.
  • Frequently sitting.
  • Occasionally stand/walk, reach/work above shoulders, grasp lightly/fine manipulation, grasp forcefully, use a telephone, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds.
  • Rarely twist/bend/stoop/squat, kneel/crawl.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.

 

WORKING CONDITIONS:

  • May work extended hours during peak business cycles.

 

The expected pay range for this position is $126,115- $150,683 per annum.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

 

WORK STANDARDS:

  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients as well as with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.

 

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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