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Marketing Analytics Solution Consultant

Job in Myrtle Point, Coos County, Oregon, 97458, USA
Listing for: SAS - Global
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Myrtle Point

Employer Industry: Data Analytics and AI Solutions

Why consider this job opportunity:
  • Comprehensive medical, prescription, dental, and vision plans
  • Industry-leading 401k plan with employer contributions
  • Generous time off, including vacation, paid holidays, and a Winter Wellness Break
  • Opportunity for career advancement and professional development through a Tuition Assistance Program
  • Supportive and inclusive work environment that values diversity
  • Flexibility to work remotely or from the employer's headquarters
What to Expect (Job Responsibilities):
  • Consult with clients to understand their marketing analytics needs and design tailored solutions
  • Analyze complex marketing datasets to uncover trends, patterns, and actionable insights
  • Develop and present data-driven recommendations to improve campaign effectiveness and ROI
  • Collaborate with product, engineering, and sales teams to deliver successful client outcomes
  • Lead workshops and training sessions on analytics best practices for clients
What is Required (Qualifications):
  • Bachelor’s or Master’s degree in Marketing Analytics, Data Science, or a related field
  • Minimum 5 years of experience in marketing analytics, data science, or business intelligence
  • Proven experience with marketing analytics platforms (e.g., SAS, Adobe Analytics, Google Analytics)
  • Strong proficiency in data analysis tools and languages (e.g., SAS, SQL, Python, R)
  • Proven communication skills with the ability to present complex findings to non-technical stakeholders
How to Stand Out (Preferred Qualifications):
  • Experience with machine learning models for marketing applications
  • Familiarity with data visualization tools (e.g., Power BI, Tableau)
  • Knowledge of digital marketing channels and campaign measurement
  • Experience working in a SaaS or software vendor environment
  • Demonstrated ability to build relationships and deliver tailored solutions
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