Customer Intelligence Strategy Analyst at Mitchell International – San Diego, California

Mitchell International
Customer Intelligence Strategy Analyst

US--Remote

Job ID: 26-18786
Type: Regular Full-Time
# of Openings: 1
Category: Corporate
Mitchell International, Inc.

Overview

At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.

Be part of a team that makes a real difference.

Responsibilities

The Customer Intelligence Strategy Analyst is responsible for leading the evolution of customer intelligence capabilities through AI‑driven insights and integrated customer data. This role builds a unified, predictive, and holistic view of the customer across the post‑sale lifecycle and drives revenue retention by converting complex customer signals into clear, actionable guidance for customer success, sales, executive sponsors, and operational teams. This role owns the vision, governance, and evolution of customer intelligence, including data ingestion, customer health modeling, churn prediction, behavioral analytics, KPI tracking and AI‑enabled insight generation.

Key Responsibilities

• Lead the development of predictive retention and churn‑risk models, leveraging behavioral, engagement, product‑usage, and sentiment analytics.
• Execute the roadmap for AI‑enabled customer intelligence, including generative AI, machine learning, and automated insight generation.
• Own customer‑intelligence data within Salesforce and related systems, ensuring governance, accuracy, scalability, and integration into AI models.
• Partner with Enterprise Business Technology to unify customer data across Salesforce, CX platforms, and feedback tools into a single holistic customer view, while leading shared technical resources.
• Establish and enhance analytics frameworks for customer health scoring, introducing AI‑supported workflows that surface risks, expansion signals, and recommended actions.
• Own revenue‑retention analytics, including predictive churn indicators and risk modeling.
• Develop standardized analytics connecting customer behavior, product usage, adoption maturity, renewal performance, and operational indicators across market segments.
• Synthesize customer intelligence into clear narratives, providing recommendations with measurable business impact.
• Partner with Client Services leadership to optimize Salesforce workflows, improving visibility into customer engagement and predictive indicators.
• Lead strategy, evaluation, and implementation of Voice of the Customer tools, including surveys, interviews, sentiment analysis, and unstructured‑data processing.
• Serve as a trusted partner to Customer Success, Sales, and Product, delivering insights that shape renewal planning, customer journeys, and value messaging.
• Drive accountability for data‑driven decision‑making, influencing actions through insights, storytelling, and a deep understanding of the customer lifecycle.

Qualifications

• Bachelor’s degree required with 5+ years in customer analysis, customer intelligence analytics, customer success operations, or related field.
• Strong analytical and synthesis skills, especially with qualitative customer data.
• Understanding of customer success, retention levers, and post‑sale lifecycle management.
• Strong customer success and retention mindset with a data-driven approach.
• Advanced Salesforce expertise in reporting, dashboards, and data governance.
• Strong project and stakeholder management skills; able to lead without direct authority.
• Experience partnering with senior stakeholders and influencing outcomes across functions.
• Exceptional communication and executive‑level presentation skills.
• Experience managing vendors and cross-functional technology resources.
• Strategic thinker with an operational mindset. Ability to translate insights into improvements.
• Proven experience implementing or leveraging AI, predictive analytics, or automation within sales or customer success ecosystems.
• Proficiency with generative AI tools (ChatGPT, Claude) and strong understanding of AI governance, risks, and opportunities.
• Demonstrated experience owning retention metrics and customer feedback programs.

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