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Regulatory Data Analyst Jobs (NOW HIRING)

DriveWealth

Senior Data Analyst, RegTech

New York, NY · On-site +1

$150K - $170K/yr

Support Ad-Hoc Inquiries and Regulatory Exams: Respond quickly and accurately to ad-hoc data requests and regulatory examination inquiries from Compliance and Legal teams, providing data and analysis ...

DriveWealth

Senior Data Analyst, RegTech

New York, NY · On-site

$94K - $118K/yr

Own the Regulatory and Supervisory Data Layer: Architect, build, and maintain data marts and Sigma reports used for critical regulatory functions (e.g., CAT, EBS, trade monitoring, AML) and internal ...

Guidehouse

QA Regulatory Data SME

$85K - $141K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... The associated data repository serves as a critical system of record underpinning regulatory ...

DPP Tech, Inc.

Data Analyst

San Francisco, CA · On-site

ESRI ArcGIS Pro, ESRI ArcGIS Online, SQL, basic data analysis skills Desired skills/experience ... regulation data Please send resume with contact information. Thank you!

Winaxis

Regulatory Data Transformation PM

New York, NY · On-site

$56.50 - $76.50/hr

... analysis, as needed. Qualifications we seek in you! Minimum Qualifications • Resources ideally with Data Management experience in large financial institutions, combined with experience project ...

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Regulatory Data Analyst information

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$82.6K

$136K

How much do regulatory data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for regulatory data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Regulatory Data Analyst do?

A Regulatory Data Analyst is responsible for collecting, analyzing, and reporting data to ensure a company complies with relevant laws and regulations. They interpret regulatory requirements, monitor data trends for compliance risks, and prepare documentation for audits or regulatory submissions. Their work supports organizations in industries like finance, healthcare, and pharmaceuticals by helping them avoid penalties and maintain ethical standards. Additionally, they often coordinate with other departments to implement compliance measures and improve data management processes.

What is regulatory data analysis?

Regulatory data analysis involves examining and interpreting data to ensure compliance with laws, regulations, and industry standards. For a Regulatory Data Analyst, this includes collecting, validating, and reporting data using tools like Excel or specialized software to support regulatory submissions and audits.

What are the key skills and qualifications needed to thrive as a Regulatory Data Analyst, and why are they important?

To thrive as a Regulatory Data Analyst, you need strong analytical skills, attention to detail, and a background in finance, statistics, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, and regulatory reporting systems, as well as certifications like FRM or CFA, is highly valuable. Excellent communication, problem-solving abilities, and adaptability make a candidate stand out in this role. These skills ensure accurate regulatory reporting, maintain compliance, and support effective decision-making in a highly regulated environment.

What does a regulatory analyst do?

A regulatory analyst reviews and interprets laws, regulations, and policies to ensure that organizations comply with legal requirements. They often analyze data, prepare reports, and communicate findings to support compliance efforts, using tools like spreadsheets and regulatory databases. Strong attention to detail and knowledge of industry standards are essential for this role.

How does a Regulatory Data Analyst typically collaborate with compliance and legal teams?

Regulatory Data Analysts work closely with compliance and legal teams to ensure that all data management and reporting activities meet current regulatory standards. This collaboration often involves interpreting complex regulations, identifying relevant data sets, and preparing reports or documentation for regulatory submissions. Regular meetings and cross-departmental communication are common, as analysts must translate technical data findings into actionable insights for non-technical team members. Building strong relationships with these teams helps ensure timely and accurate compliance, and also provides valuable opportunities to expand your knowledge of evolving regulations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Regulatory Data Analyst's role involves interpreting complex regulations, ensuring compliance, and providing insights that require human judgment. AI tools are used to enhance efficiency, but human expertise remains essential for nuanced decision-making and regulatory understanding.

Is a data analyst a high salary?

Data analysts, including those in regulatory roles, typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, while experienced analysts with skills in SQL, Excel, and data visualization tools can earn higher wages, often reflecting the demand for data-driven decision-making skills.
More about Regulatory Data Analyst jobs
Who are the top companies hiring for Regulatory Data Analyst jobs? The top employers for Regulatory Data Analyst jobs are:
What states have the most Regulatory Data Analyst jobs? States with the most job openings for Regulatory Data Analyst jobs include:
What job categories do people searching Regulatory Data Analyst jobs look for? The top searched job categories for Regulatory Data Analyst jobs are:
Regulatory Data Analyst jobs near you
Infographic showing various Regulatory Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Regulatory Data Analyst - SQL & Automation

Regulatory Data Analyst - SQL & Automation

1 point system

Charlotte, NC • On-site

Contractor

Posted 18 days ago

Job description

Interview Process: 30-minute MS Teams interview + 2nd round in-person panel (1–1.5 hours)

Role Overview Wells Fargo is seeking a highly technical contractor to join the Market & Counterparty Regulatory Reporting team. The role supports accurate, timely, regulator-aligned reporting (e.g., FR Y-14Q, CCAR). It combines risk subject matter expertise with technology delivery, focusing on modernizing reporting infrastructure, improving efficiency, and reducing regulatory risk.

Key Responsibilities

  1. Process Analysis & SME Partnership
    • Partner with Market Risk and Counterparty Risk SMEs to understand end-to-end reporting workflows.
    • Document current-state processes, controls, and data dependencies.
    • Identify manual touchpoints, reconciliation gaps, data lineage issues, and opportunities for standardization.
  2. Automation & Solution Design
    • Develop automation proposals aligned with enterprise technology strategy.
    • Translate business processes into scalable technical designs (data pipelines, aggregation logic, reporting layers).
    • Migrate legacy SQL processes to modern frameworks (e.g., Java-based ETL).
    • Ensure solutions meet regulatory accuracy, auditability, and performance requirements.
  3. Requirements & Delivery Management
    • Capture detailed requirements in Jira (epics, features, user stories, acceptance criteria).
    • Partner with developers to refine backlog items and support testing/validation.
    • Drive end-to-end delivery lifecycle (Design → Build → Test → Deploy).
  4. Data & Technology Engineering Oversight
    • Work with large-scale relational datasets, risk aggregation frameworks, and regulatory reporting tables.
    • Ensure data integrity, transformation logic accuracy, and performance optimization.
  5. Reporting & Visualization Enablement
    • Use Power BI and Tableau to reduce manual reporting and enable self-service analytics.
    • Improve transparency into risk metrics and reporting outputs.
  6. Emerging Technology & AI Adoption
    • Evaluate AI/GenAI copilots for documentation, reconciliation, anomaly detection.
    • Explore advanced analytics platforms (Fabric-like ecosystems, semantic layers).
    • Ensure alignment with governance and risk standards.

Required Qualifications

  • Technical Expertise:
    • Advanced SQL (complex queries, stored procedures, performance optimization).
    • Java (enterprise applications, batch processing frameworks such as Spring Boot/Spring Batch).
    • Strong understanding of data architecture, ETL, and scalable processing frameworks.
  • Regulatory & Domain Experience:
    • Market Risk or Counterparty Risk environments.
    • Regulatory reporting (FR Y-14Q, CCAR, Basel) preferred.
    • Familiarity with stress testing, risk aggregation, and reporting controls.
  • Delivery & Collaboration:
    • Experience writing detailed requirements in Jira.
    • Agile/hybrid delivery environments.
    • Ability to translate SME discussions into technical solutions and partner across risk, data, and technology teams.