Senior Data Analyst – Fraud

Ally

. Partner with business and product teams to understand fraud use cases, Value Stream objectives, business processes, decisions, and required data and measures .

Posted 11/12/2026full-timeUnited StatesSenior💰 $85,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, business intelligence, and performance measurement, with a strong focus on SQL, data profiling, and scorecard development. Capable of translating business needs into actionable data requirements while effectively communicating findings to diverse audiences.

Highest-signal resume keywords

Strong SQL SkillsData Profiling and MappingScorecard and Dashboard DevelopmentExperience with Snowflake and Power BIAnalytical Thinking and Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPerformance MeasurementMetric GovernanceData Quality AssessmentReconciliationRoot-Cause AnalysisRequirements DocumentationAnalytical Programming (Python)Data ManagementFraud Analysis

Soft Skills

Attention to DetailVerbal CommunicationWritten CommunicationCollaborationIndependent Work

Tools & Technologies

SnowflakePower BIExcelAPIsCloud-Based ServicesOperational Data StoresAnalytical Platforms

Industry Keywords

FraudRisk ManagementFinancial ServicesData GovernanceIdentity and AuthenticationPaymentsFinancial Crime Data

Tech Stack

Tools & technologies

CloudPythonSnowflakeSQL

About the role

Key responsibilities & impact

Partner with business and product teams to understand fraud use cases, Value Stream objectives, business processes, decisions, and required data and measures
Translate business needs into data requirements, source-to-target mappings, metric definitions, calculation rules, acceptance criteria, and analytical approaches
Profile and analyze large, complex datasets for availability, completeness, accuracy, timeliness, consistency, and fitness for use
Develop and maintain Value Stream scorecards, dashboards, metric dictionaries, calculation logic, targets, and recurring performance reporting
Reconcile scorecard results to authoritative sources and investigate variances
Document methodology and lineage, and explain trends, drivers, limitations, and changes
Maintain fraud data inventories, metadata, ownership, quality measures, lineage, and traceability across source and consuming systems
Support real-time and batch data delivery through requirements validation, testing, reconciliation, production validation, and ongoing monitoring
Communicate findings, risks, decisions, and recommendations to technical and nontechnical audiences
Manage multiple priorities in a collaborative environment

Requirements

What you’ll need

Bachelor’s degree in data analytics, information systems, computer science, statistics, mathematics, business, finance, or a related field, or equivalent work experience
3+ years of experience in data analysis, business intelligence, performance measurement, scorecard reporting, data management, financial services, fraud, risk, or a related discipline
Strong SQL skills and experience querying, joining, validating, and analyzing large datasets across multiple sources
Experience with data profiling, mapping, data-quality assessment, reconciliation, root-cause analysis, metadata, lineage, metric governance, and requirements documentation
Experience developing and maintaining scorecards, dashboards, metric definitions, and visual analyses using Snowflake, Power BI, and Excel
Working knowledge of real-time streaming, batch integration, APIs, data models, operational data stores, analytical platforms, and cloud-based services
Strong analytical thinking, attention to detail, problem-solving, documentation, and verbal and written communication skills
Ability to work independently, manage competing priorities, and collaborate effectively with business, product, data, and technology partners
Experience with Python or another analytical programming language is preferred
Experience with fraud, identity, authentication, payments, decisioning, investigations, or financial-crime data is preferred
Must work in an office role with weekly hybrid schedule in Charlotte, NC or Lewisville, TX

Benefits

Comp & perks

20 paid time off days
11 paid holidays
8 hours of volunteer time off yearly
401K retirement savings plan with matching and company contributions
Student loan pay downs
529 educational save up assistance programs
Tuition reimbursement
Employee stock purchase plan
Financial learning center and financial coach access
Medical, dental and vision insurance
Employee, spouse and child life insurance
Short- and long-term disability
Pre-tax Health Savings Account with employer contributions
Healthcare FSA
Critical illness, accident and hospital indemnity insurance
Total well-being program
Adoption, surrogacy and fertility assistance
Paid parental and caregiver leave
Dependent Day Care FSA
Back-up child and adult/elder care days
Childcare discounts
Mentally Fit Employee Assistance Program
Subsidized and discounted Weight Watchers® program
Other employee discount programs
Travel allowances, depending on the role
Relocation assistance, depending on the role
Signing bonus, depending on the role
Equity, depending on the role
Annual incentive plan