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Salary: USD 0 - 190,000 / annual
EvolutionIQ, part of CCC Intelligent Solutions (NASDAQ: CCC), builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently. The company combines AI-native product development with 40 years of proprietary data and deep relationships with major carriers.
The Client Strategist will join the Client Strategy & Analytics team, which serves as the bridge between clients and EvolutionIQ's technology. This role is central to the company's mission, providing both tactical support for client deployments and strategic advisory services.
Key responsibilities include:
- Developing a holistic understanding of EvolutionIQ's mission and value for enterprise customers
- Partnering with team members to deploy engagements into production, running pilot strategies and client operations analyses
- Running recurring client impact meetings, measuring and communicating success, and identifying performance improvements
- Prototyping new capabilities (reports, alerts, product features, metrics) based on emerging client needs and engaging with product/engineering to productize results
- Providing consultative analytics to help clients capture full value from the product
- Deriving broad industry trends by analyzing data across EvolutionIQ's client base with rigorous statistical validation
- Representing EvolutionIQ's impact in quantifiable, strategic ways to clients and internal stakeholders
- Partnering with the Sales team as a product and solutions expert to acquire and educate new customers
The ideal candidate operates with high ownership and independence, excels at quantitative analytics, and can synthesize complex data into clear strategic narratives. You should be an exceptional communicator who builds trust with executive stakeholders, deeply client-focused, and passionate about solving complex problems with innovation and speed.
Requirements:
- Deep experience in quantitative analytics: hypothesis-led analyses, statistical testing, and pressure-tested conclusions
- Proficiency with SQL (BigQuery, MySQL, etc.) for querying and analyzing data
- Ability to run statistical analyses including linear regressions, correlations, A/B tests, cohort analyses, and time series analysis with statistical significance testing
- Experience building metrics dashboards (Tableau, Looker, etc.)
- Expert-level spreadsheet skills (pivots, charts, etc.)
- Ability to create visually compelling presentations
- Educational or professional background in Business Analytics, Data Analytics, Data Science, Statistics, Actuarial Science, Economics, or Engineering
- Proven track record of building client relationships and becoming a trusted advisor to executives
- Ability to operate effectively under ambiguity and independently define problem spaces
