Data Compliance

Data Compliance Jobs

6 jobs found

14d ago

Compliance Data Analyst

State of Minnesota - Children Youth & Families Dept Saint Paul, MN

Saint Paul, MN

14d ago

$37 - $56/hr Full time Analytics Compliance Compliance Management

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Job Description

This hybrid role supports DCYF compliance through advanced analytics, research design, and performance measurement.

Responsibilities

Independently lead the design, research, and oversight of the Compliance Division data strategy to identify and detect potential risk, fraud, and non-compliance within the agency.
Create reports, surveys, presentations, dashboards, and visualizations to support management decision-making and strategic planning for operational effectiveness within DCYF.
Handle internal and external requests for data and information related to internal audits, compliance audits, and key risk areas.
Provide technical consultation to Compliance Division management and staff across data analysis, statistical and analytic techniques, research methodology, survey design and evaluation, performance measurement, data governance, and compliance data systems and tools.
Develop program integrity metrics to enable proactive detection and risk mitigation.

Requirements

Four (4) years of experience analyzing and reporting with data, including spatial or statistical analysis and modeling, and managing data with database querying.
Experience with data collection, data analysis, data manipulation, data transformation, and interpretation.
Data visualization experience with tools such as Tableau, PowerBI, Looker, or Qlik.
Experience with analytic tools/platforms including Alteryx, R Studio, SAS, Databricks, or Anaconda.
Ability to synthesize and organize large volumes of complex information and present it in writing and verbally in a succinct, easily understandable manner.

Technologies

Tableau, PowerBI, Looker, Qlik
Alteryx, R Studio, SAS, Databricks, Anaconda
SQL, Python, R, Java, Scala, Jinja
MMIS, MAXIS, MEC2
LIS/ELMS/Salesforce Hub, DEED
Case tracking applications
NetStudy 2.0
SSIS
HIPAA
Minnesota Government Data Practices Act

Telework

Telework available within Minnesota or neighboring states
Flexible hours options available

Benefits

Paid vacation and sick leave
12 paid holidays each year
Low-cost medical, dental, vision, and prescription drug plans
6 weeks paid leave for parents of newborn or newly adopted children
Pension plan that provides income when you retire (after working at least three years)
Employer paid life insurance
Short-term and long-term disability insurance
Tax-free expense accounts for health, dental, and dependent care
Training, classes, and professional development
Tuition reimbursement
Federal Public Service Loan Forgiveness Program (some positions may qualify)
Employee Assistance Program (EAP) for work/life support

Salary and Schedule

Pay range: $37.91 - $56.39 / hourly ($79,156 - $117,742 / annually)
Work shift/hours: Day Shift / 8:00 AM - 4:30 PM
Days of work: Monday - Friday
Travel required: No

Additional Requirements

Reference check
Criminal Background check
Fingerprinting check (MNJIS/CJIS)
Driver’s License Check
Personnel File Review: all current and former public sector employees
Additional assessment may be required during the interview process

Connect 700 Program for Applicants with Disabilities

Designated in CONNECT 700 Program: Yes

Immigration and Work Authorization

DCYF is unable to provide sponsorship for work visas
Applicants must be eligible to work in the United States at the start of employment
DCYF does not participate in E-Verify

Application Details

Select “Apply for Job” at the top of this page.
Contact Careers Help Desk: 651-259-3637 or careers@state.mn.us.
Additional process information: http://www.mn.gov/careers.
Contact: Susan Vang at susan.y.vang@state.mn.us.

How to Receive Consideration as a CONNECT 700 Applicant

Apply online
Email the Job ID#, the Working Title, and your valid Proof of Eligibility Certificate by the closing date to Susan Vang at susan.y.vang@state.mn.us

ADA Accommodation

ADA interview accommodation requests: contact the DCYF ADA Coordinator at 651-431-4945 or ada.dcyf@state.mn.us.

Location: Saint Paul, MN (hybrid)

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14d ago

Data Scientist III

TD Bank Charlotte, NC

Charlotte, NC

14d ago

$96k - $156k/yr Full time Artificial Intelligence Business Analytics Compliance

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Job Description

Build complaint intelligence and reporting capabilities using advanced analytics, machine learning, NLP, and LLM approaches in a compliance-focused data science role.

Responsibilities

Design and develop modern complaint intelligence capabilities that transform complaint data into actionable insights for compliance and risk mitigation, including identification of potential customer harm
Create and maintain a robust inventory of complaint dashboards, reporting, and analytics products using Power BI, Python, SQL, R, Excel, and PowerPoint to deliver decision-ready information to TD partners
Apply advanced analytics, machine learning, NLP, and LLM capabilities to identify complaint trends, emerging risks, themes, root causes, and customer impact to inform compliance strategies
Launch new complaint data products and analytical tools end-to-end: requirements gathering, design, development, testing, implementation, and ongoing maintenance
Provide oversight of 1LOD complaint data handling including complaint taxonomy, data methodology, data quality, data completeness, data lineage, controls, and data interpretation
Translate complex analytical results from complaint data into business narratives through insights, visualizations, dashboards, and presentations tailored to different audiences
Ensure responsible AI with human-in-the-loop approaches aligned to TD policies, procedures, and governance requirements
Lead or complete complex initiatives requiring seasoned specialist knowledge and/or integration of cross-functional processes
Work independently on analysis, design, and support of technical data management solutions across projects of varying complexity and size
Perform longer-range planning for the functional area (for example, 12 months or greater) and manage/prioritize multiple projects at a time
Partner with business owners to identify opportunities and act as an ambassador for data science
Stay current on developments in data mining and the application of data science; provide analytical thought leadership
Solicit and share ideas to improve business processes using data-driven insights focused on effectiveness and efficiency
Educate the organization on hypothesis testing and statistical validation approaches, and help explain the principles and math behind the “scientist” process to support alignment
Adhere to enterprise frameworks/methodologies related to business-area activities and ensure programs/policies/practices meet business needs and comply with internal/external requirements
Participate in cross-functional/enterprise initiatives as a subject matter expert, including risk identification and guidance for complex situations
Monitor service and productivity and implement continuous process/performance improvements where opportunities exist
Lead/facilitate and/or implement action and remediation plans to address performance, risk, and governance issues
Actively manage relationships across business lines, corporate functions, and control functions to ensure alignment with enterprise and/or regulatory requirements
Maintain a risk management and control culture aligned with risk appetite and support a positive team environment through timely communication
Support knowledge transfer via mentorship, sharing best practices, and contributing to team capability development
Support personal performance management and development activities, including cross training
Serve as a brand ambassador for the business area/function and the bank internally and/or externally

Requirements

5+ years of relevant experience (higher degree education and research tenure can be counted)
Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science); graduate’s degree preferred with progressive project work experience
5+ years of experience in Data Science, Advanced Analytics, and Business Intelligence, preferably within banking or financial services
Advanced technical and analytical expertise in Python, R, SQL, machine learning, statistical analysis, NLP, and working with large and complex datasets
Strong business intelligence and data visualization skills, including practical experience with Power BI and/or Tableau, plus Excel and PowerPoint for executive dashboards and data summaries
Proven experience applying AI and advanced analytics to unstructured data, including NLP, LLMs, generative AI, text classification, theme classification, and human-in-the-loop accountability best practices
Strong capabilities in compliance, data governance, data quality, and stakeholder management
Ability to work independently on analysis/design/support of technical data management solutions across projects

Technologies

Power BI
Python
SQL
R
Excel
PowerPoint
Machine Learning
NLP
LLMs
Generative AI
Text classification
Theme classification
Tableau

Benefits

Base salary and variable compensation/incentive awards (eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan)
Health and well-being benefits
Savings and retirement programs
Paid time off (Vacation PTO, Flex PTO, Holiday PTO)
Banking benefits and discounts
Career development
Reward and recognition

Work Location

Charlotte, North Carolina, United States of America
Onsite

Hours

40 hours

Pay Details

$96,130 - $155,950 USD (per year)

Line of Business

Analytics, Insights, & Artificial Intelligence

Work Authorization

This role is not eligible for TD work visa support or sponsorship (for example, H-1B, F-1 OPT/STEM OPT, TN, or other work visa)
Applicants must be either a US Citizen or have a US Resident Green Card authorization, without current or future need for TD sponsorship

Physical Requirements

Domestic travel: Occasional
International travel: Never
Sedentary work: Continuous
Multiple tasks: Continuous
Operating standard office equipment: Continuous
Responding quickly to sounds: Occasional
Sitting: Continuous
Standing: Occasional
Walking: Occasional
Moving safely in confined spaces: Occasional
Lifting/Carrying (under 25 lbs.): Occasional
Lifting/Carrying (over 25 lbs.): Never
Squatting: Occasional
Bending: Occasional
Kneeling: Never
Crawling: Never
Climbing: Never
Reaching overhead: Never
Reaching forward: Occasional
Pushing: Never
Pulling: Never
Twisting: Never
Concentrating for long periods of time: Continuous
Applying common sense to deal with problems involving standardized situations: Continuous
Reading, writing and comprehending instructions: Continuous
Adding, subtracting, multiplying and dividing: Continuous

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23d ago

Data Scientist - Trust & Safety

Rula Los Angeles, CA 🇺🇸 Remote

Los Angeles, CA

23d ago

$166k - $193k/yr Full time Analytics Business Intelligence Data Analysis

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Job Description

Rula is building a new Trust and Safety function and needs a Data Scientist to be a central technical resource for protecting the platform. This role focuses on evaluating healthcare claims, analyzing billing signals, and turning data findings into analytics that legal and compliance partners can use to support regulatory standards.

This position is based in Los Angeles, CA with remote work options for candidates located in the United States. The salary range for the role is USD 166,000 - 192,850 per year, and the position requires 5+ years of relevant experience.

What you’ll do

Act as the core technical data expert responsible for protecting the platform, evaluating healthcare claims, and supporting operations aligned with regulatory expectations.
Review billing patterns, identify data anomalies, and produce clear analytics for legal and compliance partners.
Use advanced data querying skills along with a strong understanding of medical coding frameworks to work safely within large, complex datasets.
Build proactive models and protective guardrails intended to safeguard legal standing, protect patient care, and support secure business operations.
Report directly into the Sr. Analytics Manager of Business Intelligence.

What you bring

5+ years of professional experience in analytics, data science, or forensic data investigation.
Expert-level SQL and Python/R proficiency for querying large datasets, building data logic, and identifying systemic anomalies.
Demonstrated expertise with data visualization tools such as Looker, Tableau, Hex, or Mode to create automated risk-monitoring pipelines and compliance dashboards.
Strong data storytelling, including a track record of translating complex technical findings into clear risk assessments for non-technical leadership and legal partners.
Experience with data integrity auditing, including investigating discrepancies, gaps, or historical anomalies across complex data infrastructure.

Tools and frameworks

SQL, Python, R, Looker, Tableau, Hex, Mode, CPT, ICD-10, HCPCS.

Benefits

100% remote environment, with support for work-life balance (must be based in the United States; currently not hiring in Hawaii).
Transparent pay and benefits, with full visibility of pay ranges across the United States.
Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA.
401(k) plan access.
Generous time off, including two company-wide shutdown weeks each year for self-care (for most employees).
Paid parental leave for all parents, including birthing, non-birthing, adopting, and fostering.
Employee Assistance Program (EAP) for mental and physical health support.
Quarterly department stipend for team-building activities or in-person gatherings.
Community and employee resource groups that support identity and lived experiences.
Home office stipend, including a new hire home office stipend plus a $50 monthly stipend for internet or cell phone expenses.
Wellness at Rula program with year-round initiatives and a $50/month wellness stipend.

Preferred qualifications

Prior experience working directly in healthcare compliance, legal operations, or Trust & Safety (for example, auditing for fraud, waste, and abuse).
Strong familiarity with medical coding frameworks (such as CPT, ICD-10, or HCPCS) and health insurance reimbursement pipelines.
Experience working with healthcare claims data, including insurance claims, billing records, or electronic health records.
Experience in fast-paced, high-growth startups with the ability to manage dynamic, ambiguous analytical priorities and build frameworks from scratch.
Proven ability to connect analytics insights to corporate risk mitigation strategy, proactively informing operational safeguards and platform guardrails.

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1mo ago

Sr Data Analyst, Healthcare Claims Audit and Compliance

Healthfirst New York, NY

New York, NY

1mo ago Closed

$83k - $120k/yr Full time Senior Alteryx Amazon Web Services

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Support healthcare claims audit and compliance initiatives by turning claims and configuration data into risk insights, monitoring, and reporting.

Responsibilities

Analyze complex healthcare datasets to surface trends, anomalies, control gaps, and possible compliance or operational risks
Back Internal Audit, Compliance, and Claims Configuration Audit activities using data analysis, audit testing, monitoring, and reporting
Build advanced analytical queries in SQL, SAS, or other tools to extract, validate, and analyze data from multiple sources
Assess data quality and standardize data structures to enable consistent reporting and analysis
Create and maintain dashboards, scorecards, reports, and monitoring tools with actionable insights for leadership and business stakeholders
Communicate findings, methods, and recommendations to both technical and non-technical audiences
Assist in validating claims configuration changes, business rules, and operational controls
Document analytical processes, data issues, methodologies, and business requirements
Collaborate with Internal Audit, Compliance, Claims Operations, Configuration, IT, and other business partners
Identify opportunities to improve processes, controls, and reporting through intellectual curiosity
Perform additional duties as assigned

Requirements

Bachelor’s degree from an accredited institution or equivalent work experience
3+ years of equivalent experience
Proficiency in scripting and programming
Experience with MS Office suite, including Microsoft Access, Excel, and Word
Expertise using data analysis and query tools such as SQL
Experience with Alteryx, Tableau, Amazon Redshift, or similar analytics tools/platforms
Applied statistics skills including distributions, statistical testing, regression, and related methods
Ability to successfully run queries from a data warehouse
Expertise innovating and implementing audit techniques
Excellent communication skills
Strong time management to prioritize work and complete assignments by deadlines
Experience communicating technical information in written and verbal formats to multiple levels of technical and non-technical staff
Experience managing a heavy workload in a fast-paced environment

Technologies

SQL, SAS
MS Office suite, Microsoft Access, Excel, Word
Alteryx, Tableau, Amazon Redshift, Python, R
AWS: AWS, Glue, Sage Maker
JavaScript, D3.js
Hadoop, MapReduce
AWS Kinesis

Benefits

Medical, dental, and vision coverage
Incentive and recognition programs
Life insurance
401k contributions (all benefits are subject to eligibility requirements)

Preferred Qualifications

Master’s degree from an accredited institution
Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar concentration
Experience with analytical programming techniques such as Python and R
Experience with AWS and analytical solutions available on the platform (Redshift, Glue, Sage Maker, etc.)
Familiarity with programming in JavaScript and D3.js
Familiarity with big data technologies such as Hadoop, MapReduce, and AWS Kinesis
Demonstrated ability to develop innovative solutions to complex problems using advanced problem-solving skills and sound judgment
Knowledge of modern machine learning algorithms (clustering, classification and regression), statistical methods, and optimization
Knowledge of healthcare industry systems, business strategies, and products

Compensation

Greater New York City Area (NY, NJ, CT residents): USD 83,100 - 120,360 per year
All other locations (within approved locations): USD 73,400 - 109,225 per year

Location: New York, NY (hybrid)

Minimum experience: 3 years

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1mo ago

Compliance Data Scientist

Rendr New York, NY

New York, NY

1mo ago Closed

$110k - $135k/yr Full time Analytics Business Analytics Compliance Risk

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Join Rendr as a Compliance Data Scientist in New York, NY (onsite). In this role, you will build analytics that help the compliance department identify risk, strengthen regulatory adherence, and support early detection of fraud, waste, and abuse in the Medicaid program. You will turn complex healthcare data into dashboards, predictive models, and board-ready narratives that teams can act on.

Compensation: USD 110,000 - 135,000 per year. Minimum experience: 5 years. Education: Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.

What you’ll do

Lead the development and implementation of advanced analytical models to identify and mitigate compliance risks in a timely manner.
Collaborate with cross-functional teams to extract, analyze, and validate data from multiple sources and prioritize business needs.
Develop departmental dashboards, reports, and visualizations to monitor compliance metrics and trends.
Use machine learning and predictive modeling to identify and prevent fraud, waste, and abuse within the Medicaid program.
Apply detection methods including pattern recognition and outlier analysis to proactively find suspicious patterns and irregularities.
Enhance analytics across multiple data sources, including electronic medical record (EMR), Compliance, Billing, and Clinical.
Perform routine proactive analyses to detect suspicious patterns and irregularities across all data sets.
Conduct outlier analysis by identifying data points that are impossible or significantly deviate from expected trends.
Create predictive models by developing machine-learning algorithms to forecast trends.
Continuously monitor analytics results and issues, including trend analysis tied to recurring issues or policy violations.
Analyze data from internal and external sources to support compliance risk identification, benchmarking, data visualization, and data reconciliation.
Design and deliver reports and visual narratives aligned with Compliance initiatives, including presentations to the Board of Directors and stakeholders.

What you bring

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
Minimum five (5) years of healthcare-related work experience in reporting and analytics, including data extraction, manipulation, statistical modeling, and data visualization.
Proven experience in advanced analytics, data visualization, data modeling, and statistical analysis.
Strong understanding of compliance regulations and risk management.
Proficiency with SQL and Microsoft Power BI, plus experience with analytics, machine learning, data visualization, data reconciliation, and data management.
Expert proficiency in Excel, including creating pivot tables.
Strong problem-solving skills and attention to detail.
Excellent communication skills, including the ability to present complex insights to nontechnical stakeholders.
Familiarity with Federal and NYS Regulations.

Helpful background

Previous compliance-related experience (for example: corporate compliance, OIG, NYS OMIG, Health plan SIUs).
Strong understanding of healthcare compliance regulations and best practices.
Certified in Healthcare Compliance (CHC), highly preferred.
Experience with EMR systems and healthcare data, including patient records and claims data.
Experience designing and preparing reports for the Compliance Committee and/or Board of Directors.
Familiarity with Fraud, Waste, and Abuse (FWA), and regulators and guidance including CMS, DEA, FDA, OCR, and HIPAA.

Tools you’ll use

SQL, Microsoft Power BI, Excel
Machine learning, predictive modeling
Pattern recognition, outlier analysis

Benefits

Medical, Dental, and Vision Insurance
401k with Company Match
Paid Time Off
Paid Holidays/ Floating Holiday(s)
Commuter Benefits
Health Savings Account/ Flexible Spending Account/ Dependent Care Account
Annual Performance Bonus

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1mo ago

Data Engineer, Product Analytics

Meta Menlo Park, CA

Menlo Park, CA

1mo ago Closed

$114k - $173k/yr Full time .NET Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Data Engineer, Product Analytics at Meta focuses on building data artifacts and visualizations to support product analytics across Meta's apps. The role collaborates with engineering, data science, and product management to design scalable data solutions with emphasis on privacy and data quality.

Location

Menlo Park, CA (onsite)

Salary

USD 114,000 - 173,000 per year

Responsibilities

Plan, build and maintain data warehouse initiatives for a product suite to address clearly defined problems.
Determine data needs for business challenges and implement comprehensive logging to ensure data availability, coordinating with the data infrastructure team to triage and resolve issues.
Partner with engineers, product managers and data scientists to translate data needs into meaningful insights and visualizations.
Develop data stewardship and apply controls to uphold privacy, security, compliance, data quality and operational integrity for assigned domains.
Design, develop and deploy new data models and dashboards in production using standard development toolkits.
Create end to end ETL pipelines in production independently, and mentor others on efficient querying.
Maintain existing production processes and implement optimized solutions with minimal guidance.
Define and govern data set service level agreements within assigned data domains.

Requirements

At least two years of experience with SQL, ETL, and data modeling, plus proficiency in at least one programming language such as Python, C++, C#, Scala, or other languages.

Technologies

SQL
ETL
Python
C++
C#
Scala

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that wil

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Data Compliance Jobs

Compliance Data Analyst

Data Scientist III

Data Scientist - Trust & Safety

Sr Data Analyst, Healthcare Claims Audit and Compliance

Compliance Data Scientist

Data Engineer, Product Analytics

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