Marketing Analyst, Strategy & Data Science

Accountabilities:

• Build and scale marketing performance analytics frameworks to measure ROI, ROAS, customer behavior, and campaign effectiveness across channels

• Analyze campaign, loyalty, CRM, menu, digital, and social performance to generate actionable insights for business optimization

• Mine and integrate data from multiple sources (CDP, POS, web, mobile, GA, CRM, media platforms) into a unified analytics ecosystem

• Develop segmentation, clustering, lift modeling, and predictive analytics to support personalization and targeting strategies

• Support and enhance reporting on social, brand, and media performance using tools such as Sprout Social and Meta platforms

• Design and maintain dashboards in BI tools (Power BI, Tableau, Looker) to enable self-service insights across teams

• Deliver executive-ready reporting and insights that inform strategic planning and performance reviews

• Collaborate with cross-functional teams including Marketing, Finance, and Product to align data insights with business goals

• Contribute to initiatives such as segmentation strategy and hyper-local marketing optimization

Requirements:

• 3–5 years of experience in marketing analytics, business intelligence, or performance analysis

• Strong proficiency in SQL and Python, with hands-on experience using Power BI, Tableau, or Looker

• Proven ability to analyze ROI, ROAS, campaign lift, and segmentation performance

• Experience working with social and brand analytics tools such as Sprout Social and Meta platforms

• Strong analytical thinking with the ability to connect data insights to business decisions

• Experience working with large, complex datasets from multiple marketing and customer systems

• Excellent communication skills with the ability to present insights clearly to technical and non-technical stakeholders

• Self-starter mindset with strong ownership, curiosity, and attention to detail

• Experience in restaurant, retail, hospitality, or multi-location environments is a plus

Benefits:

• Competitive salary range: $72,300 – $99,375 annually

• Fully remote work environment within the United States

• Opportunity to build foundational marketing analytics infrastructure from the ground up

• Exposure to enterprise-level marketing, digital, and customer data ecosystems

• Cross-functional collaboration with senior leaders across marketing, finance, and product

• Career development opportunities in data science, analytics, and strategy

• Dynamic and innovative work culture focused on experimentation and impact

• Employee benefits package including health, dental, and vision coverage (where applicable).

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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