1

Data Integrity Jobs in New York (NOW HIRING)

Job Title : Data Integrity Analyst Location : Onsite - New York City, NY Status : Full-time Reports To : Head of AI & Strategy, with dotted-line accountability to Finance, Human Resources,

About Us Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of

New

next page

Showing results 1-20

Data Integrity information

What is the difference between Data Integrity vs Data Analyst?

AspectData IntegrityData Analyst
Required CredentialsKnowledge of data management, quality assurance certificationsDegree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness units, analytics teams
Industry UsageEnsuring data accuracy and consistencyAnalyzing data to generate insights

Data Integrity focuses on maintaining the accuracy, consistency, and reliability of data across systems, ensuring data quality. Data Analysts interpret and analyze data to support decision-making. While Data Integrity ensures data is trustworthy, Data Analysts utilize that data to derive meaningful insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are some common challenges faced by data integrity professionals, and how are they typically addressed within organizations?

Data integrity professionals often encounter challenges such as data inconsistencies, incomplete records, and ensuring compliance with data governance standards. These issues are typically addressed through regular audits, implementation of automated validation tools, and close collaboration with IT and data management teams. Maintaining clear documentation and establishing standardized procedures are also crucial for minimizing errors and maintaining high-quality data. Ongoing training and communication help teams stay aligned with evolving data policies and regulatory requirements.

What are the key skills and qualifications needed to thrive in a data integrity role, and why are they important?

To excel in a Data Integrity role, you need a solid understanding of data management principles, attention to detail, and often a degree in information technology, computer science, or a related field. Familiarity with database systems (such as SQL), data validation tools, and compliance frameworks like GDPR or HIPAA is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for ensuring data accuracy across teams. These skills are vital for maintaining trustworthy, compliant, and high-quality data that supports sound business decisions.

What skills do you need to be a data integrity analyst?

A data integrity analyst needs strong analytical skills, attention to detail, and proficiency in data management tools such as SQL and Excel. Knowledge of data governance, quality assurance processes, and basic understanding of database systems are essential for ensuring data accuracy and consistency.

What is data integrity and why is it important?

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that information is not altered or tampered with during storage, transmission, or retrieval. Maintaining data integrity is critical for making informed business decisions, complying with regulatory requirements, and protecting sensitive information from corruption or unauthorized access.
What are the most commonly searched types of Data Integrity jobs in New York? The most popular types of Data Integrity jobs in New York are:
What cities in New York are hiring for Data Integrity jobs? Cities in New York with the most Data Integrity job openings:
Infographic showing various Data Integrity job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Data Integrity Analyst

Majesty Brands

Manhattan, NY โ€ข On-site

Other

Medical, Dental, Vision, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Title: Data Integrity Analyst

Location: Onsite - New York City, NY

Status: Full-time

Reports To: Head of AI & Strategy, with dotted-line accountability to Finance, Human Resources, Operations, Business Planning, and other operational leaders

Pay Range: $70,000k-$100,000k annually


Company Overview

Majesty Brands is a global leader in the socks, sleepwear, and intimates' categories. With distribution in over 70 countries and a dynamic seasoned staff, Majesty is the 'go to' resource for retailers and brands alike. Majesty has dedicated teams strategically placed to maintain business in each area of retail. Our approach is simple. We want to service each customer's needs. Sometimes it's about value and sometimes it's about fashion. In all cases, we're here to ensure the end user is completely satisfied with their purchase.


Position Overview

Majesty Brands is seeking a highly organized, detail-oriented Data Integrity Analyst to ensure the accuracy, consistency, completeness, and reliability of critical information across the organization. This role will be integral to Majesty Brandsโ€™ ERP transition and PLM implementation, supporting data cleansing, migration, validation, testing, reconciliation, and ongoing governance across product, inventory, customer, vendor, pricing, financial, operational, and employee-related data.

The ideal candidate is exceptionally organized, analytical, process-driven, and uncompromising about accuracy and compliance. This person must be comfortable communicating directly with employees and leaders at every level, asking difficult questions, challenging inconsistencies, following up persistently, and escalating concerns when required. They must also have the confidence and judgment to pause a transaction, data upload, migration, or other workflow when information is incomplete, inaccurate, unapproved, or creates a data integrity risk.


Key Responsibilities

  • Maintain accurate, complete, consistent, and reliable data across ERP, PLM, inventory, financial, operational, human resources, and related systems.
  • Support the ERP transition and PLM implementation through data discovery, mapping, cleansing, migration, validation, testing, reconciliation, and ongoing maintenance.
  • Audit product information, including style numbers, SKUs, color codes, sizes, descriptions, pricing, costing, category classifications, customer records, vendor records, and inventory data.
  • Identify and correct duplicate, incomplete, outdated, inconsistent, or incorrectly categorized records before system migration or use.
  • Validate migrated data against source records and business requirements before system launch or final approval.
  • Participate in system and user acceptance testing, documenting issues, responsible parties, deadlines, corrective actions, and final resolutions.
  • Reconcile discrepancies among ERP, PLM, warehouse, inventory, financial, digital catalog, retail, reporting, and departmental records.
  • Establish and enforce data standards, naming conventions, required fields, validation rules, approval requirements, ownership expectations, and change-control procedures.
  • Ensure employees and departments follow approved procedures for creating, modifying, approving, and maintaining company data.
  • Maintain organized documentation of data changes, approvals, testing results, open issues, corrections, and escalations.
  • Communicate directly with employees, executives, technical teams, and implementation partners to obtain missing information and resolve discrepancies.
  • Follow up persistently, challenge inconsistent information, and escalate unresolved issues, repeated noncompliance, and material risks.
  • Pause data uploads, migrations, transactions, reporting, system changes, or affected workflows when required information is incomplete, inaccurate, unapproved, or places data integrity at risk.
  • Clearly communicate why a process has been paused, what must be corrected, who is responsible, and what is required before work may resume.
  • Conduct recurring audits and report on error rates, outstanding corrections, recurring issues, departmental compliance, and business risks.
  • Investigate root causes and downstream impacts of data errors and recommend sustainable corrective actions.
  • Create and maintain standard operating procedures, data dictionaries, process documentation, user instructions, and training materials.
  • Support reporting, analytics, automation, and AI initiatives by ensuring that underlying information is structured, accurate, complete, and reliable.


Experience & Skills

  • Fashion, apparel, consumer products, wholesale, retail, or other SKU-intensive experience strongly preferred.
  • ERP or PLM implementation, migration, or optimization experience strongly preferred.
  • Advanced Microsoft Excel skills and experience managing large datasets.
  • Working knowledge of ERP, PLM, inventory management, business intelligence, or related platforms.
  • Exceptional organization, attention to detail, process compliance, and documentation skills.
  • Confidence communicating with and holding accountable employees and leaders at every level.
  • Willingness to challenge inconsistencies, escalate concerns, and stop affected processes when necessary.
  • Strong analytical, root-cause problem-solving, written, and verbal communication skills.
  • Ability to collaborate cross-functionally while maintaining firm accountability and discretion.


Requirements Added by the Job Poster

  • 2-5 yearsโ€™ experience data integrity, master data management, inventory control, retail operations, systems implementation, or a related field.
  • Commute to this job's location
  • Working in an onsite setting
  • Authorized to work in the United States
  • Must be authorized to work in the United States without current or future sponsorship requirements.


Featured Benefits

  • Medical, Dental & Vision Insurance
  • 401(k)
  • Flexible Spending Accounts (FSA)
  • Employee Assistance Program (EAP)
  • Commuter Benefits
  • Employee Discount Programs
  • Additional Voluntary Benefits, Wellness Programs, and Employee Perks Available
  • Hybrid work options vary by department and positions. '


Salary Disclosure

Majesty Brands is committed to offering a compensation package that reflects the qualifications and experience of the individual. The salary for this position is competitive and commensurate with experience. While the posted salary range is $70,000k-$100,000k, we recognize the value of exceptional talent and are open to negotiation for the right candidate.


Equal Opportunity Employer

Majesty Brands is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, or any other status protected by law.


This position is classified as FLSA Exempt and is not eligible for overtime pay. The compensation package is paid on a salary basis, reflecting a professional expectation of hours required to fulfill the responsibilities of the role.