Optimization Analyst

LendingTree•Denver, CO

6h•$85,000 - $105,000•Hybrid

About The Position

The Optimization Analyst helps improve LendingTree’s online consumer experience by identifying opportunities to optimize landing pages and web form flows. The role uses insurance industry experience, stakeholder input, competitive analysis, and analytics insights to develop testing hypotheses that reduce friction and increase conversion. The analyst manages the testing roadmap and partners with creative, front-end development, technical, product, business, and analytics teams to plan and launch experiments. Responsibilities include estimating test revenue potential, coordinating design and setup, ensuring quality assurance and tracking, monitoring test and funnel performance, interpreting results, and preparing recaps with recommendations that support business goals and revenue growth. This position is based in Charlotte, North Carolina; Denver, Colorado; or Seattle, Washington, and requires working in the office three days per week. Candidates must be authorized to work in the United States without current or future employment visa sponsorship.

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.
Must be legally authorized to work in the United States; employer visa sponsorship is not available now or in the future.

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 ability to organize work and manage competing priorities.
Clear communication and a collaborative approach to working with multiple partners and explaining test 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 optimization testing roadmap, including priorities, timelines, and stakeholder alignment.
Partner with analytics to estimate the revenue potential of proposed tests and prioritize opportunities based on business goals and expected impact.
Execute A/B tests across landing pages and web form flows, partnering with creative teams on designs and technical teams on setup, quality assurance, tracking, and launch.
Monitor test and funnel performance with the analytics team, interpret results, and investigate unusual trends or tracking issues.
Apply testing best practices and collaborate with analytics partners to recommend whether tests should conclude or continue based on established guidelines.
Prepare timely test recaps explaining findings, business impact, and recommended next steps for technical and nontechnical partners.
Use insights developed with the analytics team to inform roadmap decisions and improve user experience and conversion.