[Hiring] Strategist, Data & Analytics @Shift Paradigm

Role Description

As a Strategist, Insights & Analytics, you act as the connective tissue between business goals, data architecture, and analytical execution across client engagements. You specialize in turning complex customer data into actionable marketing solutions, designing data models, predictive analytics frameworks, measurement strategies, and the semantic foundations required for AI agents to query customer data safely.

You are equal parts practitioner and advisor:

• Comfortable collaborating directly with client engineering teams to define data logic.
• Translating complex analytical findings into compelling narratives that marketing leaders can act on.
• Working alongside cross-functional team members—engineers, analysts, and project leads.
• Bringing big-firm data science depth to real-world marketing challenges in a lean, agile environment.
• Staying on the cutting edge of modern cloud data platforms, predictive modeling, and AI capability.

Qualifications

• 5–8+ years of progressive experience in data, analytics, or data science, with strong depth applied directly to marketing, CRM, or digital personalization challenges.
• Bachelor’s or Master’s degree in Business Analytics, Data Science, Management Analytics, or a related quantitative field.
• Hands-on proficiency with Python, SQL, and applied ML techniques.
• Practical experience working in modern cloud data environments (Snowflake, Databricks, or equivalent).
• Familiarity with AI/ML frameworks and responsible AI governance principles.
• Agency or management consultancy experience strongly preferred.
• Excellent communicator skilled at translating technical builds into strategic, outcome-oriented narratives.

Requirements

• Lead current-state data assessments and design phased analytics roadmaps for client engagements.
• Develop robust KPI frameworks, segmentation models, and advanced testing strategies that drive measurable marketing outcomes.
• Design practical predictive models using Python and applied machine learning techniques.
• Evaluate data maturity to select the right analytical approach for each client.
• Architect semantic layers and tool-calling data contracts that enable AI agents to accurately query marketing data marts.
• Develop realistic evaluation frameworks and human-in-the-loop guardrails for agentic workflows.
• Architect scalable data strategies and collaborate with data engineering talent.
• Help clients navigate fit-for-purpose AI adoption by evaluating models/tools and drafting foundational AI governance frameworks.
• Serve as a trusted subject matter expert on client accounts.
• Support account expansion and pitch efforts by drafting technical scopes and designing solution frameworks.

Benefits

• Competitive compensation aligned with your experience and impact.
• Remote flexibility.
• Collaborative culture that values diverse perspectives and innovative thinking.
• Work that makes a measurable difference for your clients.