Why this role stands out
This hybrid role offers significant career growth by empowering you to directly influence marketing strategy and drive optimization through data insights, making it an ideal opportunity for a seasoned analyst who enjoys problem-solving and collaboration. You'll have the chance to refine sophisticated measurement frameworks and contribute to a growth-focused organization's success, so seize this chance to apply and make a tangible impact.
Quick overview
Job description
This is a rare opportunity to step into a mature attribution and measurement environment where your work will directly shape how the organization understands its customers and optimizes growth.
- Analyze performance across paid and owned channels to surface trends and optimization opportunities
- Deliver insights on audience targeting, campaign effectiveness, creative performance, and spend ROI
- Support acquisition efficiency improvements and conversion rate analysis
Customer & Audience Analytics
- Analyze customer behavior, funnel performance, and audience segmentation
- Identify high-value customer segments and lifecycle engagement patterns
- Support customer acquisition, retention, and loyalty-focused initiatives
Attribution, Measurement & Experimentation
- Leverage and refine a mature multi-touch attribution framework
- Design and analyze A/B tests, holdout studies, and incrementality experiments
- Partner with stakeholders to improve measurement methodologies and reporting consistency
Reporting & Data Collaboration
- Build and enhance scalable dashboards and reporting tools for marketing and leadership teams
- Query and analyze large datasets using SQL and cloud-based platforms
- Automate reporting processes and validate tracking/campaign data accuracy
- 4+ years of experience in marketing analytics, digital analytics, or growth analytics
- Strong command of SQL and experience working with large datasets
- Hands-on experience with Google Analytics, Looker Studio, Power BI, and/or BigQuery
- Solid understanding of attribution models, A/B testing, and multi-channel performance measurement
- Experience with customer segmentation, funnel analysis, or audience analytics
- Ability to translate complex data into clear, actionable business insights for both technical and non-technical audiences
- Bachelor's degree in Marketing, Analytics, Statistics, Economics, Math, Computer Science, or related field
Nice to Haves
- Experience with Python, R, or Databricks
- Familiarity with incrementality testing and advanced attribution concepts
- Background in customer lifecycle, retention, or loyalty-driven businesses
- Exposure to AI tools or automation workflows for analytics efficiency
- Basic familiarity with APIs, marketing technology platforms, or HTML
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