Senior Analyst, Marketing Analytics

Spectraforce Technologies, Inc.

McLean (VA)

Sur place

USD 90 000 - 130 000

Plein temps

Il y a 2 jours
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Résumé du poste

Spectraforce Technologies, Inc. seeks a Senior Analyst, Marketing Analytics to support Marketing and Brand organizations with econometric models (MMM) and analytics-driven insights.

You will collaborate across Data Science and regional teams to ensure accurate data inputs and timely model iterations. The role emphasizes transforming outputs into executive-ready presentations (Excel/PowerPoint) and delivering data-driven recommendations to senior leadership.

Qualifications

  • 2 years of professional experience in Marketing Mix Modeling (MMM) or related analytics.
  • Experience with econometric modeling (multivariate linear or Bayesian regressions).
  • Experience with SQL and data manipulation.
  • Experience managing analytics projects is a plus, not required.

Responsabilités

  • Collaborate with Data Science, Marketing Analytics, and stakeholders to support MMM for regional models.
  • Own collection and validation of modeling data inputs.
  • Review model iterations and provide feedback based on marketing and econometric factors.
  • Develop marketing performance deliverables with clear narratives and recommendations.

Connaissances

Marketing Mix Modeling (MMM)
Quantitative data analysis
Marketing strategy
Marketing analytics

Formation

Bachelor's or Master's degree in a related field

Outils

SQL
Excel
PowerPoint

Description du poste

Job Title: Senior Analyst, Marketing Analytics

Location: McLean, VA is preferred (Mostly onsite - 4 days per week), or Dallas, TX (Mostly onsite - 4 days)

Duration: 12 months

Minimum Qualifications: 2 years of professional experience in Marketing Mix Modeling (MMM), quantitative data analysis, marketing strategy, or marketing analytics

Job Description:

This is your chance to be part of the next generation Strategy, Insights, and Analytics team of internal consultants to all teams. The team ensures that strategy and customer experience are informed by analytics and customer insights combining technical talent with industry expertise to guide progress towards goals. As Senior Analyst, Marketing Analytics, you will support Marketing and Brand Organizations on internal projects that measure marketing performance through complex econometric models (Marketing Mix Modeling/"MMM").

Responsibilities:

  • Collaborate across Data Science, Marketing Analytics, and Marketing stakeholders to support program management for regional Marketing Mix Models (MMM)
  • Own collection and validation of modeling data inputs
  • Review model iterations and provide feedback to Data Science partners based on marketing, business, and econometric factors
  • Develop Marketing Performance tools and deliverables with clear, insight-driven narratives and recommendations to internal marketing stakeholders
  • How you'll collaborate with others:
  • Collaborate with internal data science and analytics teams to develop regional Marketing Mix Models (MMM)
  • Work with our Regional Marketing partners to understand analysis needs, deliver insights, and support implementation of results
  • Projects you'll take ownership of:
  • Lead collection and manage timeline of all required data inputs for MMM analysis, including internal and external sources
  • Lead model reviews and timelines for Marketing Mix Models
  • Lead transformation of Excel and SQL outputs into Excel and PowerPoint deliverables
  • Synthesize Marketing Mix Modeling (MMM) insights into executive-ready presentations for business reviews and deliver data-driven recommendations to senior leadership
  • Identify opportunities to optimize project efficiency, model infrastructure, and insights delivery

Preferred Qualifications:

  • Bachelor's or Master's degree in a related field
  • Intermediate Excel proficiency (data analysis, transformation, lookups, Pivot tables)
  • Experience with Marketing Mix Modeling (MMM) or similar econometric modeling, including multivariate linear or Bayesian regressions
  • Experience with SQL
  • Experience managing analytics projects is nice to have, but not required
  • Experience in marketing, hospitality or related industry
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