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    Quantitative Design Researcher - Plano, United States - Capital One National Association

    Capital One National Association
    Capital One National Association Plano, United States

    3 weeks ago

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    Description
    Plano Town Center , United States of America, Plano, TexasQuantitative Design Researcher

    This is a Hybrid position located in Plano, TX. Relocation to Plano, TX is required if you're not located in the Dallas, TX area.

    We are currently seeking a Quantitative Design Researcher to join the Financial Services Design Research team, as a workstream Lead for our Data Insights application.

    We are looking for someone with expertise and demonstrated experience in data-centered projects, data migration/ingestion user experiences, and knowledge of quantitative user experience research methodologies.

    You will be responsible for leading mixed methods research that drives UI's which enable data exploration, data collection, and the analysis of a variety of different data sets and complex visualization design.

    You will work in close partnership with teams and executives in Design, Product, Tech, Operations, and Analytics to achieve high-value results that position design effectively to pursue and deliver innovative, connected, world-class customer-centered experiences.

    We believe using empathy, curiosity and asking questions to understand our customers is core to delivering best in class products and services.

    The Design team at Capital One is at the forefront of enriching our customers' digital and physical experiences.

    We champion a thriving environment of collaboration, authenticity and healthy critique, in which we honor diversity of thought, create a culture of belonging, and elevate one another.

    If you're an innovator and storyteller who embraces an environment where you can experiment, learn, and change banking for good, we would love to hear from you.


    What You'll Do:
    You'll be asked to handle a variety of research responsibilities, including:
    Collaboration & Connecting
    Collaborate with technology, product, and business teams to inform intuitive and engaging customer experiences

    Deeply knowledgeable of data, analytics, and measurement with a knack for tying data together into compelling insights and stories that drive action

    Excellent at understanding, conducting, and discussing quantitative research approaches such as descriptive research, correlational research, experimental research

    Agile collaborator with the ability to quickly gather, distill and act on feedback from partners in a rapidly changing environment

    Excellent problem solver, with a research toolkit that goes beyond 'out of the box' methods to meet the changing and rapid needs of a growing start up environment

    You're comfortable tackling ambiguous/nebulous challenges in complex areas - preferably in a regulated industry such as data science or finance

    You have proven acumen in analytics, measurement, statistics, and operations

    You're a systems thinker and orchestrator. You can effectively connect the dots between data science, design and insights to orchestrate strong recommendations that improve customer experiences, find efficiencies across shared products and common service moments, and unlock higher order value across the enterprise

    Translate complex insights or ideas into understandable concepts that evolve and enhance the product experience

    Advocate for the customer through human-centered design research methodologies

    Champion prioritization of design centered product enhancements grounded in research and analysis

    Actively teach and mentor designers who do research alongside you

    Working with partners and teams across various geographies

    Embrace and advocate for an experience mindset - that research is one input in the design process, in coordination with other factors/considerations

    Participate in hiring by reviewing resumes, conducting interviews and attending consensus

    Discovery & Delivery
    Expert in quantitative research and data analysis such as:
    Cluster & factor analysis

    Decision logic, conjoint, or kano model analysis

    Statistics, sampling, inference testing, and data modeling

    Data visualization (making the complex, simple)

    Root cause analysis & time series analysis

    Demonstrate fluency with design research tools and techniques to measure success, present opportunities, and support decision-making and prioritization

    Practice and help evolve the team's research techniques and toolset to work effectively in cross-team collaboration

    Participate in the end-to-end product design process by:


    Conducting in-person and remote research studies at all stages from discovery to validation, using a variety of methods to understand customer needs and define opportunities such as usability studies, card sorting, field studies, cognitive walk-throughs, contextual inquiry, participatory design.

    Conducting quantitative design research such as surveys (Kano, UMUX, etc.), data analysis (web analytics, usage metrics), and other quant UXR methods (benchmarking, tree testing, etc.)



    Helping designers and non-designers on project teams understand and apply research findings by framing problems, defining insights, and designing new methodologies/practices to serve customer needs

    Distilling findings into clearly articulated and actionable insights to influence the direction of research for stakeholders

    Facilitating and participating in workshops with internal and external stakeholders to align with business needs

    Participate in presenting research and analysis clearly and effectively across various organizations by supporting, explaining, and demonstrating usability approaches and research to a variety of audience types from design experts to non-designers

    Basic Qualifications

    At least 4 years of experience with human centered research

    Preferred Qualifications

    Masters Degree in social sciences, human factor, cognitive science, human computer interaction, or behavioral economics

    Experience researching internal enterprise software, especially for business analysts or data algorithm tools or workflows

    Comfortable working with a variety of business partners and delivering outcomes

    At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

    Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

    Learn more at the

    Capital One Careers website

    . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
    This role is expected to accept applications for a minimum of 5 business days.
    No agencies please.

    Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.

    All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.

    Capital One promotes a drug-free workplace.


    Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

    If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at

    . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
    For technical support or questions about Capital One's recruiting process, please send an email to


    Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

    Capital One Financial is made up of several different entities.

    Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp.

    (COPSSC).

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