Data Analyst - Strategist, Digital Experimentation & Analytics
ITSMF
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Benefits offered by this job
Job summary
State Farm is seeking a senior Experimentation leader to build a customer-centered growth portfolio. You will design and run A/B tests, partner with data science, and coordinate across product, design, engineering, marketing, and analytics to drive measurable improvements in digital journeys.
The role emphasizes a test-and-learn culture, executive storytelling, and high standards for data governance within a large enterprise.
Qualifications
- Experience in strategy, digital product, analytics, growth, innovation, or related discipline.
- Hands-on experience planning, running, or scaling A/B testing or growth experimentation programs.
- Experience with Adobe Analytics to analyze clickstream and behavioral data.
- Experience with Optimizely or a comparable experimentation platform.
- Excellent written and verbal communication skills for executive-ready storytelling.
Responsibilities
- Identify high-value opportunities using customer insights, product analytics, clickstream data, and business priorities.
- Organize opportunities into strategic themes and maintain a sequenced experimentation roadmap.
- Write clear hypotheses with customer problem, behavior change, treatment, and rationale.
- Partner with data science on test design, metrics, guardrails, and interpretation standards.
- Coordinate with cross-functional teams to move experiments from concept to live experience while preserving measurement integrity.
- Drive CRO across digital journeys to reduce friction and improve conversion and outcomes.
- Lead portfolio reviews linking test results to broader themes and decisions on scaling or iterating.
- Identify data gaps and shape capability improvements to speed up experimentation.
Skills
Tools
Job description
Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. We're moving with urgency to become a Next Gen Good Neighbor, with technology that strengthens human connections and enhances the customer experience. As an employee, you'll spend less time navigating systems and more time applying judgment, empathy, and expertise in the moments that matter most.
HYBRID: Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
HUB LOCATIONS: Richardson, TX; Bloomington, IL; Tempe, AZ; Dunwoody, GA
SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity.
The Experimentation team identifies the highest-value customer and business opportunities, translates them into thematic testing roadmaps, and partners with data science to ensure experiments generate trustworthy, actionable learning and measurable improvement.
Build a customer-centered growth experimentation portfolio by turning the strongest areas of need and opportunity into thematic testing roadmaps, and make sure every A/B test is designed and run to produce trustworthy, reusable learning. This role brings together conversion rate optimization (CRO), data-driven digital product management, and data-driven experience design to improve how customers move through our digital journeys. It is part of the Digital Growth Engine, a multidisciplinary organization focused on building a stronger learning advantage through trusted data, disciplined experimentation, intelligent decisioning, and scalable technology.
- Identify high-value opportunity areas using customer insights, product analytics, clickstream analytics, business priorities, and journey performance.
- Organize opportunities into strategic themes and maintain a sequenced experimentation roadmap based on expected value, learning potential, feasibility, and dependencies.
- Write clear hypotheses that define the customer problem, intended behavior change, treatment concept, and business rationale for each experiment.
- Partner with data science on test design, metrics, sample requirements, guardrails, and interpretation standards.
- Coordinate with product, design, engineering, marketing, analytics, and data science to move A/B tests and multivariate experiments from concept to live experience, implemented in ways that preserve measurement integrity.
- Drive CRO across key digital journeys, using behavioral data to find friction and prioritize the changes most likely to move conversion and customer outcomes.
- Lead portfolio learning reviews that connect individual test results to broader themes and determine what to scale, iterate, or test next.
- Identify recurring process, measurement, or data gaps and shape capability improvements that increase experimentation speed and rigor.
- Communicate the experimentation pipeline, experimentation velocity, and realized value to senior stakeholders.
- Quality and value of the opportunity portfolio and strategic recommendations.
- Speed at which ambiguous opportunities become testable, measurable decisions.
- Share of experiments that launch clean and produce a readable, decision-ready result.
- Stakeholder alignment and evidence that learning turns into scaled action.
- Champion a test-and-learn culture, treating every experiment, including the ones that don't win, as a chance to build shared knowledge.
- Put customer needs and measurable outcomes at the center of decisions.
- Work with confident humility: bring expertise, invite challenge, and adapt as evidence changes.
- Create clarity in ambiguity and make tradeoffs visible so teams can move with appropriate speed.
- Build strong partnerships across business and technology boundaries and share learning broadly.
- Operate with high standards for data stewardship, privacy, security, ethics, and enterprise risk management.
- Experience in strategy, digital product, analytics, growth, innovation, consulting, or a related discipline.
- Hands-on experience planning, running, or scaling A/B testing or growth experimentation programs, with enough statistical fluency to partner with data scientists as a peer.
- Experience using Adobe Analytics or similar platforms to analyze clickstream and behavioral data and turn it into testable hypotheses.
- Experience with Optimizely or a comparable experimentation platform.
- Demonstrated ability to structure ambiguous problems, synthesize quantitative and qualitative evidence, and develop clear recommendations.
- Strong business acumen and ability to connect customer needs, operational realities, technology capabilities, and enterprise priorities.
- Excellent written and verbal communication skills, including executive-ready storytelling and decision support.
- Ability to lead through influence and coordinate work across multidisciplinary teams in a complex enterprise environment.
- Experience working in a large, regulated enterprise and navigating privacy, security, legal, risk, and governance requirements.
- Experience with data-driven digital product management or experience design, ideally in insurance, financial services, or another regulated industry.
- Experience with digital customer journeys, growth analytics, personalization, or marketing technology.
- Demonstrated success in cross-functional product or pod-based operating models, moving work from insight to implementation.
- A bias toward measurable outcomes, reusable capabilities, clear documentation, and continuous learning.
Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
- Potential starting salary range: $97,000 - $160,000
- Starting salary will be based on skills, background, and experience
- High end of the range limited to applicants with significant relevant experience
- Potential yearly incentive pay up to 15% of base salary
At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
- Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
- Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
- Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
- Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
- Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
- Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
- Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.
Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!
The Experimentation team identifies the highest-value customer and business opportunities, translates them into thematic testing roadmaps, and partners with data science to ensure experiments generate trustworthy, actionable learning and measurable improvement.
Build a customer-centered growth experimentation portfolio by turning the strongest areas of need and opportunity into thematic testing roadmaps, and make sure every A/B test is designed and run to produce trustworthy, reusable learning. This role brings together conversion rate optimization (CRO), data-driven digital product management, and data-driven experience design to improve how customers move through our digital journeys. It is part of the Digital Growth Engine, a multidisciplinary organization focused on building a stronger learning advantage through trusted data, disciplined experimentation, intelligent decisioning, and scalable technology.
- Identify high-value opportunity areas using customer insights, product analytics, clickstream analytics, business priorities, and journey performance.
- Organize opportunities into strategic themes and maintain a sequenced experimentation roadmap based on expected value, learning potential, feasibility, and dependencies.
- Write clear hypotheses that define the customer problem, intended behavior change, treatment concept, and business rationale for each experiment.
- Partner with data science on test design, metrics, sample requirements, guardrails, and interpretation standards.
- Coordinate with product, design, engineering, marketing, analytics, and data science to move A/B tests and multivariate experiments from concept to live experience, implemented in ways that preserve measurement integrity.
- Drive CRO across key digital journeys, using behavioral data to find friction and prioritize the changes most likely to move conversion and customer outcomes.
- Lead portfolio learning reviews that connect individual test results to broader themes and determine what to scale, iterate, or test next.
- Identify recurring process, measurement, or data gaps and shape capability improvements that increase experimentation speed and rigor.
- Communicate the experimentation pipeline, experimentation velocity, and realized value to senior stakeholders.
- Quality and value of the opportunity portfolio and strategic recommendations.
- Speed at which ambiguous opportunities become testable, measurable decisions.
- Share of experiments that launch clean and produce a readable, decision-ready result.
- Stakeholder alignment and evidence that learning turns into scaled action.
- Champion a test-and-learn culture, treating every experiment, including the ones that don't win, as a chance to build shared knowledge.
- Put customer needs and measurable outcomes at the center of decisions.
- Work with confident humility: bring expertise, invite challenge, and adapt as evidence changes.
- Create clarity in ambiguity and make tradeoffs visible so teams can move with appropriate speed.
- Build strong partnerships across business and technology boundaries and share learning broadly.
- Operate with high standards for data stewardship, privacy, security, ethics, and enterprise risk management.
- Experience in strategy, digital product, analytics, growth, innovation, consulting, or a related discipline.
- Hands-on experience planning, running, or scaling A/B testing or growth experimentation programs, with enough statistical fluency to partner with data scientists as a peer.
- Experience using Adobe Analytics or similar platforms to analyze clickstream and behavioral data and turn it into testable hypotheses.
- Experience with Optimizely or a comparable experimentation platform.
- Demonstrated ability to structure ambiguous problems, synthesize quantitative and qualitative evidence, and develop clear recommendations.
- Strong business acumen and ability to connect customer needs, operational realities, technology capabilities, and enterprise priorities.
- Excellent written and verbal communication skills, including executive-ready storytelling and decision support.
- Ability to lead through influence and coordinate work across multidisciplinary teams in a complex enterprise environment.
- Experience working in a large, regulated enterprise and navigating privacy, security, legal, risk, and governance requirements.
- Experience with data-driven digital product management or experience design, ideally in insurance, financial services, or another regulated industry.
- Experience with digital customer journeys, growth analytics, personalization, or marketing technology.
- Demonstrated success in cross-functional product or pod-based operating models, moving work from insight to implementation.
- A bias toward measurable outcomes, reusable capabilities, clear documentation, and continuous learning.
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