Transform fragmented data into a unified view of marketing performance. Build analytical foundation for leadership to understand customer engagement, revenue, and brand impact. Partner with marketing, finance, and product teams to deliver actionable insights.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Marketing Analyst, Strategy & Data Science in United States.
This role sits at the intersection of marketing analytics, data science, and strategic business intelligence, focused on transforming fragmented data into a unified view of marketing performance. You will build the analytical foundation that enables leadership to understand what drives customer engagement, revenue, and brand impact across multiple channels. Working in a highly cross-functional environment, you will partner with marketing, finance, digital, and product teams to deliver actionable insights that shape strategic decisions. The role requires strong technical depth in data analysis combined with the ability to translate complex findings into clear business narratives. You will also play a key role in developing dashboards, segmentation models, and performance frameworks that guide personalization and campaign optimization. This is a high-impact opportunity for someone who thrives on building analytics infrastructure from the ground up while directly influencing enterprise growth strategy.
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
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- 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
- 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).
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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!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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