- Company Name
- Annalect
- Job Title
- Analyst, Marketing Science
- Job Description
-
Job Title: Analyst, Marketing Science
Role Summary:
Conduct quantitative analysis of marketing data to build attribution and marketing mix models. Process large datasets, develop insights, automate workflows, and present findings in clear, client‑ready formats.
Expectations:
• 1–2 years experience in data‑driven, quantitative field (media, analytics, or related coursework).
• Bachelor’s degree in a quantitative discipline (statistics, math, CS, economics, engineering, info management, social sciences, business/marketing); Master’s preferred.
• Ability to translate complex statistical results into concise narratives for non‑technical audiences.
Key Responsibilities:
- Collect, clean, and transform media and client data using SQL, R, and Excel.
- Build and maintain statistical models for attribution and marketing mix modeling.
- Develop automated data pipelines and front‑end utilities (e.g., dashboards).
- Create client presentations, summarizing key results, recommendations, and actionable insights.
- Track project timelines, ensuring deliverables meet quality and schedule requirements.
- Evaluate analytics and technology vendors for client needs.
- Collaborate with cross‑functional teams and client stakeholders to refine analysis and strategy.
Required Skills:
- Proficient in SQL, R (scripting), Excel.
- Basic knowledge of RShiny or Dash; familiarity with web app frameworks (CSS, HTML, JavaScript).
- Experience with data visualization tools (QlikView, Plotly, Tableau, SAS).
- Understanding of marketing mix modeling and econometric analysis.
- Familiarity with marketing technology platforms (DMAs), ad‑serving (Google DCM, Atlas), and web analytics (Google Analytics, Adobe Analytics).
Required Education & Certifications:
- Bachelor’s degree in statistics, mathematics, computer science, economics, engineering, information management, social sciences, or business/marketing.
- Master’s degree preferred; no specific professional certifications required.