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Senior Data Analyst - Fraud

Pay
$85,000–150,000/year · BaseAnnual period assumed — pay source

Base Pay Range $85,000.00 - $150,000.00
An 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. We review internal pay, the competitive market, and business environment prior to extending an offer. 
Incentive Compensation:
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Employer’s visa record
8 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • Translate business needs into data requirements, metric definitions and acceptance criteria

  • Profile and assess quality of large, complex datasets across sources

  • Build and maintain Value Stream scorecards, dashboards and recurring performance reports

  • Reconcile scorecard results to source data and explain trends and drivers

  • Maintain fraud data inventories, metadata, lineage and traceability

From the employer’s posting
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 to assess 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, investigate variances, document methodology and lineage, and clearly explain trends, drivers, limitations, and changes.
Maintain fraud data inventories, metadata, ownership, quality measures, lineage, and traceability across source and consuming systems.

What you’ll bring

All qualifications

Core experience

  • 3+ years or relevant experience
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Data Analytics or equivalent
Qualification wording
3+ years or relevant experience
Bachelor's degree in Computer Science, Information Systems, Data Science, Data Analytics or equivalent
Education & alternatives
Qualifications We’re Looking For - 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.
- 3+ years or relevant experience - Bachelor's degree in Computer Science, Information Systems, Data Science, Data Analytics or equivalent 

How We'll Have Your Back Ally'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:
Apply at Ally Financial

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 12, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$85K–$150K against $94.4K–$145K, the middle half of what similar US postings state.

From 2,036 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 43.

At Ally Financial, jobs usually come down by about day 10.

From 14,584 similar postings that came down, and 28 of Ally Financial’s. Coming down is not always a hire.

Ally Financial is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Excel
  • Power BI
  • Snowflake
Where the posting names them
- 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.
- 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 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 data concepts such as real-time streaming, batch integration, APIs, data models, operational data stores, analytical platforms, and cloud-based services.

Your next step

Complete your application on ally.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About Ally Financial

People
About 10,300 in 2025, down 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as ALLY.

Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Ally and Your Career
Ally 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?

Work 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.




The Opportunity

In office role with weekly hybrid schedule. Ally work locations Charlotte NC or Lewisville TX

The 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.
The 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.



The Work Itself

Key Responsibilities

  • Partner 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.
  • 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 to assess 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, investigate variances, document methodology and lineage, and clearly 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 while managing multiple priorities in a collaborative environment.

Qualifications We’re Looking For

  • 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 data concepts such as 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.

Minimum Qualifications:

  • 3+ years or relevant experience
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Data Analytics or equivalent





How We'll Have Your Back
Ally'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:

Time 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).

Planning 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.

Supporting 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.

Building 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.

Work-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.

Other 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.

To 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





Who We Are:
Ally 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.

Ally 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.

In 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 hrpolicy@ally.com with details of your accommodation request.





Base Pay Range

$85,000.00 - $150,000.00


An 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. We review internal pay, the competitive market, and business environment prior to extending an offer.




Incentive Compensation:

This position is eligible to participate in our annual incentive plan.

Source details

View original posting ↗

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Pay

Base Pay Range $85,000.00 - $150,000.00
An 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. We review internal pay, the competitive market, and business environment prior to extending an offer. 
Incentive Compensation:
Location & working pattern

Charlotte, NC

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