About this role
Pay range: USD $85,500.00 - $130,000.00 / Year
Your opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.
At Schwab, we are focused on creating simple, relevant, and client-centered digital experiences. The Experimentation and Personalization team helps product and business partners learn faster, make evidence-based decisions, and deliver experiences that better reflect client needs. We are seeking a hands-on analytics leader who can connect program strategy, measurement, data, and execution across our experimentation and personalization capabilities.
The Digital Product Analyst (individual contributor) will establish a unified view of program and platform performance, measure the utilization and business impact of delivered experiences, strengthen experimentation practices, and advance audience and model optimization. The Manager will work across product, analytics, data science, technology, and business teams to define standards, close data gaps, and create scalable reporting and decision-support capabilities.
What You'll Do
Lead program measurement and insight
Own the measurement strategy for experimentation and personalization, including program health, platform utilization, adoption, outcomes, and business impactDefine consistent metrics, KPIs, measurement frameworks, calculation methods, and reporting standards across programs and participating teamsBuild and maintain dashboards, recurring reports, and executive-ready portfolio views that translate activity and results into decisions and prioritiesDevelop approaches to assess incremental impact and ROI, while clearly documenting assumptions, limitations, and data quality considerationsIdentify trends, gaps, and opportunities that shape program strategy, capability roadmaps, and investment decisions Advance experimentation analytics
Partner with product and business teams to define testable hypotheses, primary and secondary metrics, guardrails, sample-size and duration assumptions, and analysis plansAnalyze A/B tests, multivariate tests, feature experiments, and other controlled evaluations using appropriate statistical methodsMonitor live experiments for data quality, allocation, instrumentation, and performance issues without compromising test integrityTranslate completed test results into clear recommendations, reusable insights, and implications for product and experience roadmapsEstablish scalable standards, templates, and best practices for experiment design, measurement, reporting, and knowledge sharing Strengthen personalization analytics and optimization
Define how personalized experiences, audiences, decision rules, recommendations, and journeys will be measured across digital channelsLead analysis of audience reach, eligibility, utilization, engagement, conversion, and downstream client or business outcomesProvide analytical input to audience design, model performance, test-and-control strategies, and ongoing optimization of decisioning approachesManage or coordinate audience creation and lifecycle practices, including definitions, documentation, validation, refresh expectations, and performance monitoringCreate a feedback loop that uses experience outcomes to inform model, audience, content, and journey improvements Build the data and reporting foundation
Integrate and reconcile data from experimentation, digital analytics, personalization, audience, and business reporting platforms using SQL, Python, APIs, and enterprise data toolsIdentify instrumentation, taxonomy, identity, data quality, and source-integration gaps that affect measurement or decisioningDefine program-level data requirements and partner with Schwab Data and technology teams to prioritize data ecosystem improvementsEstablish traceable, repeatable, and well-documented analytical workflows that can scale across business units and digital channelsCreate and maintain data definitions, source documentation, quality checks, and reporting controls appropriate for a highly governed environment Influence across a matrixed organization
Serve as the central analytics partner for Experimentation and Personalization, coordinating across business-unit analysts, product managers, data scientists, engineers, strategy teams, and platform partnersBuild alignment on shared metrics, standards, ownership, and priorities while respecting the needs of individual use cases and business areasCommunicate complex analytical concepts, tradeoffs, and findings with clarity to technical, business, and executive audiencesCoach partners on measurement and analytical best practices and promote disciplined, client-focused use of dataOperate independently through ambiguity, balancing hands-on analysis with program structure, governance, and long-term capability development What you have
Success in This Role
Leaders and program teams have a trusted, consistent view of experimentation and personalization performanceExperiments and personalized experiences are measured with clear standards and produce actionable, reusable learningAudience and model decisions are informed by transparent performance data and disciplined optimizationData gaps and ecosystem needs are clearly defined, prioritized, and advanced with the right partnersProgram reporting shifts from fragmented, use-case-level views to scalable portfolio and platform insight Required Qualifications
Bachelor's degree in statistics, data science, mathematics, economics, computer science, business analytics, or a related field, or equivalent practical experience5+ years of experience in data analysis, digital analytics, product analytics, experimentation analytics, decision science, or a related disciplineDemonstrated experience designing measurement frameworks, defining KPIs, and building dashboards or recurring performance reportingHands-on experience analyzing controlled experiments and applying statistical concepts such as hypothesis testing, confidence intervals, power, sample size, and minimum detectable effectProficiency with SQL and at least one analytical programming language, preferably Python, for data extraction, transformation, validation, automation, or statistical analysisExperience working with APIs and combining data from multiple platforms or enterprise sourcesAbility to translate complex data into concise insights, recommendations, and compelling narratives for business and technical stakeholdersProven ability to lead cross-functional work, build consensus, and influence outcomes in a highly matrixed organizationStrong attention to detail, documentation, organization, and analytical quality Preferred Qualifications
Graduate-level education or advanced coursework in statistics, experimentation, analytics, or a related quantitative fieldExperience with Adobe Analytics and digital behavioral dataExperience with LaunchDarkly, Optimizely, Adobe Target, or another experimentation or feature-management platformExperience supporting personalization, audience management, recommendation systems, customer decisioning, or next-best-action capabilitiesExperience evaluating model or audience performance and partnering with data science teams on optimizationExperience with business intelligence tools such as Power BI, Tableau, or equivalent dashboarding platformsExperience with cloud data platforms, enterprise data warehouses, or data transformation workflowsExperience in digital product, mobile applications, financial services, or another regulated enterprise environment In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
What's in it for you
At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you - both today and in the future:
401(k) with company match and Employee stock purchase planPaid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positionsPaid parental leave and family building benefitsTuition reimbursementHealth, dental, and vision insurance