Digital Optimization Analyst

Frontdoor is reimagining how homeowners maintain and repair their most valuable asset – their home. As the parent company of two leading brands, we bring over 50 years of experience in providing our members with comprehensive options to protect their homes from costly and unexpected breakdowns through our extensive network of pre-qualified professional contractors. American Home Shield, the category leader in home service plans with approximately two million members, gives homeowners budget protection and convenience, covering up to 23 essential home systems and appliances. Frontdoor is a cutting edge, one-stop app for home repair and maintenance. Enabled by our Streem technology, the app empowers homeowners by connecting them in real time through video chat with pre-qualified experts to diagnose and solve their problems. The Frontdoor app also offers homeowners a range of other benefits including DIY tips, discounts and more. For more information about American Home Shield and Frontdoor, please visit frontdoorhome.com.

Summary (100-200 words): The Digital Optimization Analyst role is key to supporting revenue growth through A/B testing and personalization. This role works cross-functionally with a wide range of team members so that business insights and ideas are transformed into high-impact experiments that shape our digital experiences. The ideal candidate is passionate about UX and user-centric design, enjoys tackling diverse and complex problems, and has demonstrated experience driving a culture of experimentation.

Responsibilities:

• Own end-to-end test execution, from experiment design through implementation and analysis.
• Collaborate and ideate with product, marketing, and business stakeholders to understand objectives and translate requirements into A/B tests or machine learning–driven solutions.
• Generate test hypotheses, define success metrics, and assess feasibility and prioritization of A/B tests.
• Execute experiments directly within A/B testing platform, including variation development and metric tracking; partner with UX and engineering teams for more complex experiments by writing feature requirements and ensuring experiment quality.
• Drive A/B test prioritization to align with key business objectives.
• Communicate timely, clear analyses of test results to key stakeholders and the broader organization, including insights and recommended next steps to ensure continuous improvement.
• Identify opportunities to increase experimentation scale via automation and AI solutions.
• May assume other duties as assigned.

Required Skills:

• Proficiency with A/B testing and personalization platforms such as Optimizely Web, Adobe Target, or VWO; Optimizely Web experience preferred
• Working knowledge of HTML, CSS, and JavaScript required; proficiency preferred
• Fundamental understanding of statistics, including hypothesis testing and experimental design
• Proficiency with web analytics tools (Google Analytics 4), Microsoft Excel, SQL, and data visualization techniques required
• Strong demonstrated verbal and written communication abilities including presentation skills; must be able to communicate clearly and effectively with both business and technical teams
• Experience with project management tools such as Jira and Confluence preferred
• Familiarity with AI-driven CRO tools, Generative AI Prompting, and AI Workflow Automation

Preferred Skills:

• Proven ability to handle multiple responsibilities/projects concurrently while meeting deliverables
• Ability to work independently in a remote environment
• Strong analytical and problem-solving capabilities
• Ability to work collaboratively in a fast-paced remote team environment

Physical Role Requirements:

Be seated at a computer intermittently for up to eight hours a day. Sitting for long periods of time while using office equipment such as computers and phones.  Repetitive motions using hands and digits; such as movement of wrists, hands and fingers while picking, pinching and typing during your normal working environment. 

Minimum Education, Licensure and Professional Certification requirements: Bachelor’s degree in Statistics, Information Systems, Marketing, or equivalent experience or training

Minimum Experience required (number of years necessary to perform role): 2+ years of experience in designing, implementing and analyzing A/B or MVT tests, preferably in an e-commerce environment

Travel: Minimal

This role pays between $79,000/Yr  to $90,000/Yr, and your actual base pay will depend on your skills, qualifications, responsibilities, experience, and location.

At Frontdoor certain roles are eligible for additional rewards and incentives. Speak directly to your recruiter to learn more.

Our approach to benefits is holistic, and includes health, wellbeing and financial components including: insurance for medical/pharmacy, dental, vision, life, and disability, weight loss and smoking cessation programs, matching 401(k) and ability to participate in our employee stock purchase plan.