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We’re looking for a data-savvy expert to help design and implement a new behavioral analytics approach across our ecosystem. You’ll be part of a cross-functional initiative focused on improving user understanding and helping to translate insights into actionable strategies for personalization, audience activation, and reporting.
Job Responsibility:
Explore and analyze large-scale behavioral data to uncover meaningful patterns
Translate business needs into data questions, and data patterns into clear recommendations
Help prioritize what matters most from a marketing and activation perspective
Collaborate with global teams and vendors to shape data use cases and frameworks
Support communication between business stakeholders and CDP / MA teams by defining priorities and clarifying technical feasibility
Support initiatives related to digital event log consolidation, feature snapshot creation, and predictive behavioral modeling
Requirements:
5+ years of experience in data science, behavioral analytics, CRM analytics, or consumer journey analysis
Strong Python expertise with the ability to design, structure, and maintain advanced behavioral analyses and analytical frameworks
Strong SQL skills and proven experience working with complex customer datasets, including missing, fragmented, or imperfect data
Strong statistical knowledge, with hands‑on application to: experimentation and A/B testing
incrementality analysis
segmentation and behavioral modeling
interpretation of behavioral and CRM data
Ability to define, validate, and interpret proxy signals when direct behavioral or transactional data is incomplete or unavailable
Experience working in B2C environments, particularly with CRM, customer lifecycle, or behavioral analytics use cases where customer interactions are not fully digital and may include offline touchpoints
Ability to work effectively across diverse technical and business stakeholders, acting as a trusted analytical and methodological reference
Ability to review existing analytical projects or approaches and recommend improvements in data structure, analytical methodology, and overall productivity
Strong communication skills, with the ability to clearly explain insights, methodologies, assumptions, and limitations to both technical and non‑technical stakeholders
Nice to have:
Experience with first‑party (1P) data activation, media attribution, or campaign measurement
Experience working with large‑scale data warehouses such as BigQuery, Snowflake, or Redshift
Experience with dashboarding and visualization tools such as Adobe Analytics or Power BI
Experience with behavioral analytics platforms such as Google Analytics, Amplitude, Mixpanel, Heap, ContentSquare, or similar tools