Discover. A brighter future.nnWith us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.nnCome build your future, while being the reason millions of people find a brighter financial future with Discover.nnJob Description:nnWhat You’ll DonnIf you are a motivated and experienced data analyst in the Payments Network who is passionate about collaborating with teams and driving business growth through data-driven solutions, we encourage you to apply. We are seeking experienced candidates to join our team to provide data-driven solutions to the Counterparty restitution analytics & Pricing division of the Discover Global Network. You will be responsible for collaborating with cross-functional teams and working with stakeholders to analyze and interpret large sets of data to provide data-driven insights to a broad base of customers in the Counterparty restitution, Pricing and Products. Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.nnActively manages and escalates risk and customer-impacting issues within the day-to-day role to management.nnHow You’ll Do ItnnLeads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.nnCollaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.nnEstablishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.nnManages multiple priorities, communicate business performance and project progress to management & business partners.nnDevelops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure.nnConsistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.nnContinuously improves technical and leadership skills through training and development.nnCommunicate complex data concepts and results to both technical and non-technical audiences.nnStay up to date with industry trends and advancements in data science/data analytics technologies and techniques.nnSupport automation by developing and maintaining self-service solutions to visualize, monitor and communicate data insights.nnPerform ad-hoc data, variance and financial analyses to support business decisions and strategy.nnQualifications You’ll NeednnThe BasicsnnBachelor's Degree in Analytics, Engineering, Statistics or related.nn4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.nnPhysical and Cognitive RequirementsnnThe physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws:nnPrimarily remain in a stationary position.nnNo required movement about the work environment to complete the major responsibilities of the job.nnPrimarily performed indoors in an office setting.nnAbility to operate office equipment such as but not limited to computer, telephone, printer, and calculator.nnAbility to communicate verbally.; Ability to communicate in written form.nnBonus Points If You HavennMasters in Analytics, Engineering, Mathematics, Statistics.nn2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or relatednnExperience in Payments Network Applications like Merchant/Acquirer/Issuer Settlement & Pricing and AuthorizationnnExcellent communication & problem-solving skills and ability to translate complex data concepts to both technical and non-technical business stakeholdersnnStrong proficiency in SQL (snowflake), excel and experience in data visualization tools such as TableaunnUnderstanding of restitution and proactive monitoring techniquesnnDiscover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.nn#LI-LG1nnApplication Deadline:nnThe application window for this position is anticipated to close on Dec-01-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.nnCompensation:nnThe base pay for this position generally ranges between $105,500.00 to $147,100.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.nnBenefits:nnWe also offer a range of benefits and programs based on eligibility. These benefits include:nnPaid Parental LeavennPaid Time Offnn401(k) PlannnMedical, Dental, Vision, & Health Savings AccountnnSTD, Life, LTD and AD&DnnRecognition ProgramnnEducation AssistancennCommuter BenefitsnnFamily Support ProgramsnnEmployee Stock Purchase PlannnLearn more at mydiscoverbenefits.com .nnWhat are you waiting for? Apply today!nnAll Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.nnDiscover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights & Pay Transparency Nondiscrimination Provision) ( complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email . Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.