{"id":4269606,"url":"https://alion.io/job/ally-senior-data-analyst-fraud","title":"Senior Data Analyst - Fraud","company":{"id":669884,"name":"Ally","domain":"ally.com","url":"https://alion.io/company/ally-4","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":true,"has_equity":true,"technologies":[{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T17:22:36Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Ally and Your Career\nAlly Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We love this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?\nWork Schedule: Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.\n\nThe Opportunity\nIn office role with weekly hybrid schedule. Ally work locations Charlotte NC or Lewisville TXThe Senior Data Analyst, Fraud Data & Value Stream Analytics will support two connected priorities: building the data foundation that powers fraud detection, decisioning, investigations, and customer protection, and developing Value Stream scorecards that measure business performance and outcomes. This role will partner with Fraud, Product, Data, Technology, Architecture, Analytics, Risk, Compliance, Finance, and Operations teams to translate business needs into clear data requirements, trusted metrics, and actionable insights.\nThe Analyst will map data across business processes and source systems, assess data quality and readiness, support real-time and batch data initiatives, and maintain documentation that improves lineage, traceability, and reuse. The role will also define and validate scorecard metrics, reconcile results to source data, produce recurring performance reporting, and explain trends and drivers to stakeholders. It is well suited for a curious, detail-oriented analyst who can connect business problems to data, communicate findings clearly, and work across teams to move complex initiatives forward.\n\nThe Work Itself\nKey Responsibilities\nPartner with business and product teams to understand fraud use cases, Value Stream objectives, business processes, decisions, and the data and measures required to support them.\nTranslate business needs into data requirements, source-to-target mappings, metric definitions, calculation rules, acceptance criteria, and analytical approaches.\nProfile and analyze large, complex datasets to assess availability, completeness, accuracy, timeliness, consistency, and fitness for use.\nDevelop and maintain Value Stream scorecards, dashboards, metric dictionaries, calculation logic, targets, and recurring performance reporting.\nReconcile scorecard results to authoritative sources, investigate variances, document methodology and lineage, and clearly explain trends, drivers, limitations, and changes.\nMaintain fraud data inventories, metadata, ownership, quality measures, lineage, and traceability across source and consuming systems.\nSupport real-time and batch data delivery through requirements validation, testing, reconciliation, production validation, and ongoing monitoring.\nCommunicate findings, risks, decisions, and recommendations to technical and nontechnical audiences while managing multiple priorities in a collaborative environment.\nQualifications We’re Looking For\nBachelor’s degree in data analytics, information systems, computer science, statistics, mathematics, business, finance, or a related field, or equivalent work experience.\n3+ years of experience in data analysis, business intelligence, performance measurement, scorecard reporting, data management, financial services, fraud, risk, or a related discipline.\nStrong SQL skills and experience querying, joining, validating, and analyzing large datasets across multiple sources.\nExperience with data profiling, mapping, data-quality assessment, reconciliation, root-cause analysis, metadata, lineage, metric governance, and requirements documentation.\nExperience developing and maintaining scorecards, dashboards, metric definitions, and visual analyses using Snowflake, Power BI, and Excel.\nWorking knowledge of data concepts such as real-time streaming, batch integration, APIs, data models, operational data stores, analytical platforms, and cloud-based services.\nStrong analytical thinking, attention to detail, problem-solving, documentation, and verbal and written communication skills.\nAbility to work independently, manage competing priorities, and collaborate effectively with business, product, data, and technology partners.\nExperience with Python or another analytical programming language is preferred.\nExperience with fraud, identity, authentication, payments, decisioning, investigations, or financial-crime data is preferred.\nMinimum Qualifications:\n3+ years or relevant experience\nBachelor's degree in Computer Science, Information Systems, Data Science, Data Analytics or equivalent \n\nHow We'll Have Your Back\nAlly's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including:\nTime Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level).\nPlanning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan pay downs and 529 educational save up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access.\nSupporting your Health & Well-being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short- and long-term disability, pre-tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.\nBuilding a Family: adoption, surrogacy and fertility assistance as well as paid parental and caregiver leave, Dependent Day Care FSA back-up child and adult/elder care days and childcare discounts.\nWork-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.\nOther Compensations: depending on the role for which you are considered, you may be eligible for travel allowances, relocation assistance, a signing bonus and/or equity.\nTo view more detailed information about Ally’s Total Rewards, please visit this link: https://www.ally.com/content/dam/pdf/corporate/ally-total-rewards-snapshot.pdf\n\nWho We Are:\nAlly Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on \"Doing it Right\" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit www.ally.com.\nAlly is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law.\nIn accordance with the Americans with Disabilities Act, if after review of the position expectations, you believe that you may need a medical accommodation to fulfill the duties of this role, please email  with details of your accommodation request.\n\nBase Pay Range\n$85,000.00 - $150,000.00\nAn individual's position in the range is determined by the specific role, the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. 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