Strategist, Data & Analytics

Shift Paradigm; United States; On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation

Remote flexibility

Collaborative culture

Impactful work

Job summary

SH/FT is a consultancy built for transformation, partnering with Fortune 500 brands to turn data into strategic marketing impact.

As a Strategist, Insights & Analytics, you will design data models, predictive frameworks, and measurement strategies, translating complex findings into executive-ready narratives. You will work with client engineers, analysts, and leaders, staying on the cutting edge of cloud data platforms and AI governance to deliver scalable, responsible analytics.

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; comfortable evaluating the right quantitative approach for a given business problem.
• Practical experience working in modern cloud data environments (Snowflake, Databricks, or equivalent), including identity resolution, data mart design, and reverse ETL/activation schemas.
• Familiarity with AI/ML frameworks and responsible AI governance principles.
• Agency or management consultancy experience strongly preferred—you thrive in dynamic, client-facing environments managing multiple workstreams.
• Excellent communicator skilled at translating technical builds into strategic, outcome-oriented narratives.
• Huge plus if you have experience around semantic layer readiness, tool-calling schema design, agentic workflow orchestration, and evaluation frameworks (Evals).

Responsibilities

• Marketing Analytics Strategy & Measurement: 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.
• Applied Analytics & Predictive Modeling: Design practical predictive models using Python and applied machine learning techniques. Evaluate data maturity to select the right analytical approach for each client, turning model outputs into targeted personalization and activation strategies.
• Agentic Enablement: Architect semantic layers (such as Genie Ontology, dbt semantic layers, or Unity Catalog documentation) and tool-calling data contracts that enable AI agents and LLMs to accurately query marketing data marts without hallucinating. Develop realistic evaluation frameworks (Evals) and human-in-the-loop guardrails for agentic workflows, testing agent retrieval quality, tool selection accuracy, and output safety in marketing execution. Design agentic workflow specs for marketing operations - mapping how autonomous or semi-autonomous agents can consume churn predictions, creative affinity tags, or audience segments to draft or trigger personalized campaigns.
• Data Architecture & Engineering: Architect scalable data strategies and collaborate with data engineering talent—whether in-house, agency partners, or client IT teams—to ensure solutions are built to spec. You will translate business logic into production-ready data models and marketing data marts that hold up against the realities of fragmented, real-world client data.
• AI Strategy & Responsible Governance: Help clients navigate fit-for-purpose AI adoption by evaluating models/tools and drafting foundational AI governance frameworks covering data quality, explainability, compliance, and ethics.
• Strategic Advisory & Client Leadership: Serve as a trusted subject matter expert on client accounts, bridging technical build conversations and strategic marketing reviews. Translate complex data outputs into clear, executive-ready presentations.
• Business Development & Practice Assets: Support account expansion and pitch efforts by drafting technical scopes, estimating level of effort, and designing solution frameworks. Help turn custom client deliverables into repeatable internal templates and firm IP.

Skills

Data analytics

Python

SQL

ML techniques

Cloud data

Communication

Agency experience

Semantics

Education

Bachelor's or Master's in analytics/data science

Tools

Snowflake

Databricks

Job description

Shift Paradigm is an execution-led strategic consultancy that bridges the gap between enterprise strategy and technical reality. We partner with Fortune 500 brands and emerging leaders to solve the inherent complexity of modern digital marketing. As partners to the world’s leading MarTech platforms, including Adobe, Salesforce, Optimizely, and Braze, we deploy integrated experts across data analytics, marketing strategy, technology development, engineering, and revenue operations to ensure our clients’ tech stacks don't just exist, but perform.

The Role

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, while translating complex analytical findings into compelling narratives that marketing leaders can act on. Working alongside cross-functional team members—engineers, analysts, and project leads—you bring big-firm data science depth to real-world marketing challenges in a lean, agile environment. You stay on the cutting edge of modern cloud data platforms, predictive modeling, and AI capability, bringing fresh perspectives to client accounts before they ask for them.

What You'll Accomplish

• Marketing Analytics Strategy & Measurement: 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.
• Applied Analytics & Predictive Modeling: Design practical predictive models using Python and applied machine learning techniques. Evaluate data maturity to select the right analytical approach for each client, turning model outputs into targeted personalization and activation strategies.
• Agentic Enablement: Architect semantic layers (such as Genie Ontology, dbt semantic layers, or Unity Catalog documentation) and tool-calling data contracts that enable AI agents and LLMs to accurately query marketing data marts without hallucinating. Develop realistic evaluation frameworks (Evals) and human-in-the-loop guardrails for agentic workflows, testing agent retrieval quality, tool selection accuracy, and output safety in marketing execution. Design agentic workflow specs for marketing operations - mapping how autonomous or semi-autonomous agents can consume churn predictions, creative affinity tags, or audience segments to draft or trigger personalized campaigns.
• Data Architecture & Engineering: Architect scalable data strategies and collaborate with data engineering talent—whether in-house, agency partners, or client IT teams—to ensure solutions are built to spec. You will translate business logic into production-ready data models and marketing data marts that hold up against the realities of fragmented, real-world client data.
• AI Strategy & Responsible Governance: Help clients navigate fit-for-purpose AI adoption by evaluating models/tools and drafting foundational AI governance frameworks covering data quality, explainability, compliance, and ethics.
• Strategic Advisory & Client Leadership: Serve as a trusted subject matter expert on client accounts, bridging technical build conversations and strategic marketing reviews. Translate complex data outputs into clear, executive-ready presentations.
• Business Development & Practice Assets: Support account expansion and pitch efforts by drafting technical scopes, estimating level of effort, and designing solution frameworks. Help turn custom client deliverables into repeatable internal templates and firm IP.

What You Bring

Experience & Expertise

• 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; comfortable evaluating the right quantitative approach for a given business problem.
• Practical experience working in modern cloud data environments (Snowflake, Databricks, or equivalent), including identity resolution, data mart design, and reverse ETL/activation schemas.
• Familiarity with AI/ML frameworks and responsible AI governance principles.
• Agency or management consultancy experience strongly preferred—you thrive in dynamic, client-facing environments managing multiple workstreams.
• Excellent communicator skilled at translating technical builds into strategic, outcome-oriented narratives.
• Huge plus if you have experience around semantic layer readiness, tool-calling schema design, agentic workflow orchestration, and evaluation frameworks (Evals).

Mindset

• Practitioner & Advisor: Equally comfortable writing data logic specs for an engineering team as you are presenting strategic insights to a CMO.
• Thrives in Ambiguity: Able to step into unstructured client problems, filter out noise, and chart a concrete, actionable path forward.
• Builds for Scalability: Thinks in terms of repeatable frameworks, templates, and reusable assets rather than isolated one-off deliverables.
• Forward-Looking: Treats modern data technology and AI as moving targets, actively staying current on industry trends.
• Grounded AI Realist: Distills the hype around autonomous agents into practical, governed use cases; understands that great agentic execution depends on clean metadata, strict context maps, and clear data boundaries.

What We Offer

• 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

Why SH/FT:

SH/FT is a consultancy built for transformation. We bridge the gap between marketing, data, and technology to unlock growth for some of the world's most recognized brands. At SH/FT you'll shape the future of how organizations connect with their customers through intelligent architecture, scalable systems, and the power of data-driven strategy.

The salary range for this role is $120,000 to $140,000. Salary is based on several factors including but not limited to skillset, relevant education, level of experience, certifications, and scope of responsibilities.

In addition to base salary, SH/FT offers benefits such as medical, dental, vision, STD/LTD, Life/AD&D, Flexible Paid Time Off, and various other ancillary benefits and perks.

Candidates must have current US work authorization. For US candidates, this employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US.

No relocation assistance can be offered at this time.

All inquiries are held in strict confidence.