обновлено 21 час назад
Lead Digital Analyst (Experimentation Strategy)
97 000 - 142 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Digital Analyst (Experimentation Strategy) (Digital Analytics/Experimentation): Turning clickstream, funnel, journey, conversion, and engagement data into prioritized experimentation opportunities and measurable recommendations with an accent on SQL analysis, experiment design, and digital customer journeys. Focus on quantifying opportunity size, building testing roadmaps, evaluating experiment performance, and identifying telemetry and data quality gaps.
Location: Hybrid work within a 180-mile radius of Bloomington, Illinois; Richardson, Texas; Dunwoody, Georgia; or Tempe, Arizona.
Salary: $97,000–$142,000 per year, plus potential yearly incentive pay of up to 15% of base salary.
Company
is a large regulated insurance and financial services organization focused on serving customers and investing in communities.
What you will do
- Analyze clickstream, funnel, journey, conversion, engagement, and experience data to identify friction points and experimentation opportunities.
- Quantify opportunity size and establish baselines for experiment prioritization and roadmap planning.
- Partner with Experimentation Science to define hypotheses, metrics, guardrails, segments, and analytical requirements.
- Conduct pre/post and exploratory analyses to explain experiment results and recommend next tests.
- Build recurring views of experimentation portfolio performance, learning velocity, win rates, and realized value.
- Identify tagging, telemetry, and data quality gaps and communicate recommendations to product, design, marketing, and growth partners.
Requirements
- Must be eligible to work lawfully in the United States immediately; visa sponsorship is not available.
- Must live or relocate within a 180-mile radius of a listed hub location and work in a hybrid environment.
- Bachelor’s degree in analytics, statistics, economics, business, computer science, mathematics, or a related field, or equivalent practical experience.
- Strong SQL and analytical skills with experience using large, complex datasets.
- Experience with digital, customer, product, marketing, or experimentation analytics and translating analysis into recommendations.
- Working knowledge of data visualization, BI tools, measurement frameworks, data quality practices, and analytical documentation.
Nice to have
- Proficiency in Python or R.
- Experience with Adobe Analytics, CJO, GA4, Mixpanel, or Amplitude.
- Experience with Optimizely, Target, Statsig, Eppo, or similar A/B testing tools.
- Experience in a large regulated enterprise, insurance or financial services, growth analytics, personalization, or marketing technology.
- Experience with cross-functional product or pod-based operating models.
Culture & Benefits
- Standard 38:45-hour work week with a focus on work-life balance.
- Health, dental, vision, telemedicine, mental health, and wellbeing programs.
- Training, tuition assistance, mentoring, and employee resource groups.
- Paid time off, parental leave, paid holidays, life leave, bereavement leave, and community service or education support days.
- Annual raise and bonus opportunities, financial coaching, and a 401(k) plan with company contributions of up to 7% of salary.
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