Optimization Analyst

LendingTree•Charlotte, CO

1d•$85,000 - $105,000•Hybrid

About The Position

The Optimization Analyst will use insurance industry experience to identify and test ways to improve LendingTree’s online customer experience, including landing pages and web form flows. The role manages the optimization testing roadmap, develops hypotheses, and partners with creative, front-end development, technical, analytics, product, and business stakeholders to launch experiments and turn findings into recommendations that reduce friction, improve conversion, and support revenue growth. The position is based in Charlotte, NC, Denver, CO, or Seattle, WA, with in-office attendance required three days per week. Candidates must be legally authorized to work in the United States; employment visa sponsorship is not available. The position is eligible for an annual performance bonus. Base pay is $85,000–$105,000, varying based on internal factors and job-related knowledge, skills, and experience.

Requirements

Bachelor’s degree in a relevant field or equivalent practical experience.
Insurance industry experience.
1–2 years of experience in website optimization, digital experimentation, or a related role, including hands-on exposure to A/B testing.
Understanding of conversion funnels and how testing can improve the online customer experience.
Ability to manage a testing roadmap, coordinate timelines, and align stakeholders around priorities.
Ability to collaborate with creative, front-end development, and analytics teams to launch experiments and translate findings into next steps.
Legally authorized to work in the United States without requiring employer immigration sponsorship now or in the future.
Ability to perform the essential functions of the position satisfactorily, with or without reasonable accommodation.

Nice To Haves

B2B insurance experience.
Curiosity about user behavior and a proactive approach to generating optimization ideas through stakeholder conversations and competitive analysis.
Strong attention to detail in test setup, quality assurance, and reporting, and the ability to organize work and manage competing priorities.
Clear communication and a collaborative approach to working with multiple partners and explaining findings to nontechnical audiences.
Analytical skills, including familiarity with website performance metrics and basic statistical concepts used to evaluate experiments.
Experience with data visualization tools such as Tableau, Looker, or Power BI.
Familiarity with data platforms or analytical tools such as Databricks, Jupyter, or Snowflake, along with basic SQL skills.
Basic understanding of HTML and JavaScript.

Responsibilities

Identify optimization opportunities through stakeholder collaboration, competitive analysis, and analytics insights, and translate them into actionable testing hypotheses.
Manage the testing roadmap, including priorities, timelines, and stakeholder alignment.
Partner with analytics to estimate proposed tests’ revenue potential and prioritize opportunities based on business goals and expected impact.
Execute A/B tests on landing pages and web form flows, coordinating with creative teams on designs and technical teams on setup, quality assurance, tracking, and launch.
Work with analytics to monitor test and funnel performance, interpret results, and investigate unusual trends or tracking issues.
Apply testing best practices and work with analytics partners to recommend whether tests should conclude or continue under established testing guidelines.
Prepare timely test recaps with analytics input, explaining findings, business impact, and recommended next steps to technical and nontechnical partners.
Use insights developed with analytics to inform roadmap decisions and improve user experience and conversion.