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Itero Group is a Women-Owned Small Business focused on simplifying complex transformations. We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative delivery solutions.
Itero Group's dedicated team members are experienced thought leaders, tenacious workers, and creative thinkers. We hire people who are passionate about being catalysts for change - in our company, for our clients, throughout our career- and we empower people to express their ideas, create better practices, innovate better products, and become better professionals.
We have been named a Great Place to Work for six years, and offer a competitive salary and benefits package.
Itero Group is seeking a Data Quality Specialist to support data validation, correction, and quality assurance efforts within client environments. This role is responsible for reviewing, validating, and correcting existing datasets to ensure accuracy, consistency, compliance with business rules, and overall data integrity. The ideal candidate is detail-oriented, analytical, and comfortable performing both automated and hands-on data correction—including manual updates when needed based on system constraints.
You will identify data integrity issues, perform field-level remediation, document findings, and recommend improvements to upstream data capture processes. This position requires strong attention to detail, structured documentation habits, and the ability to work collaboratively with business stakeholders and subject matter experts.
Key Responsibilities
Review and analyze existing datasets to identify inaccuracies, inconsistencies, formatting issues, and missing data fields.
Validate data against defined business rules, quality thresholds, and expected value ranges.
Execute data corrections and updates directly within approved client systems and user interfaces.
Perform manual data entry when automated or bulk-edit tools are not available.
Document recurring issues, trends, root causes, and data reliability patterns.
Recommend process and data capture improvements to reduce downstream data quality issues.
Provide regular status updates and reporting on correction progress and issue resolution.
Collaborate with SMEs and business stakeholders to confirm data expectations and classification rules.
Ensure accuracy, compliance, and traceability for all data modifications and remediation activities.
Required Skills Qualifications
Experience performing data validation, cleansing, and correction in enterprise or operational settings.
Strong understanding of data quality concepts (referential integrity, formatting standards, deduplication, normalization, etc.).
High proficiency with spreadsheets (Excel or Google Sheets), including advanced formulas, VLOOKUP/XLOOKUP, conditional logic, filtering, and data verification.
Ability to use SQL or related query languages for targeted inspection, filtering, and validation.
Ability to follow strict accuracy standards and execute changes without introducing new errors.
Strong written communication and documentation capabilities.
High attention to detail, methodical work style, and strong accountability for accuracy and completeness.
Preferred Qualifications
Experience working with sensitive or regulated datasets (e.g., healthcare, financial, government).
Familiarity with data governance frameworks, quality standards, or validation methodologies.
Experience using workflow or issue-tracking tools such as Jira, ServiceNow, Azure DevOps, or Smartsheet.
Comfort reviewing field relationships, mappings, and system-level data behavior.
Experience with scripting or automation tools (Python, Bash, etc.) for data parsing or remediation when supported.
Tools Technologies
Candidates should have experience with:
Microsoft Excel / Google Sheets for validation, transformation, and structured data review
SQL for targeted analysis, verification, and integrity checks
Scripting Languages: Python, Bash (when supported)
Databases:
SQL Server
MySQL
PostgreSQL
MongoDB
Oracle
UI-driven data entry environments for direct field-level corrections
Manual remediation as required by system limitations
Client-owned or proprietary systems, ERP platforms, and data administration environments
Workflow tools: Jira, ServiceNow, Smartsheet, Azure DevOps
Secure access / permission-controlled environments, ensuring compliance during updates
Deliverables Output Expectations
Periodic Data Quality Summary Reports detailing errors, correction volumes, and trend insights.
Validated and corrected records updated within client-approved environments.
Complete traceability and audit-ready logging of all remediation actions.
Documentation of recurring error types, patterns, and data reliability vulnerabilities.
Recommendations for upstream improvements to reduce future data quality issues, including enhanced validation rules and data entry standards.
If you are looking for a role where you will lead with integrity, create and innovate, inspire excellence, be a respected member of the team, drive results, and have fun, we look forward to connecting with you!
Benefits at Itero Group
At Itero Group, we’re proud to offer a comprehensive benefits package designed to support your health, financial well-being, and work-life balance:
- Health Wellness: Medical (BC-BS), dental, and vision plans to suit your needs.
- Paid Time Off: Generous PTO, paid holidays, and increasing PTO based on years of service.
- Retirement Savings: 401(k) plan with company match and auto-enrollment.
- Company-Paid Coverage: Short-term and long-term disability, life insurance, and ADD insurance.
- Additional Options: Voluntary benefits including pet insurance and student loan assistance up to $1,000 annually.
- Perks: FSAs, HSAs, wellness programs, and more to enhance your work-life balance.
Join us and enjoy a benefits package designed with you in mind!
Itero Group is an equal opportunity employer and does not discriminate against any employee or applicant because of race, age, sex, color, physical or mental disability, religion, sexual orientation, marital status, national origin, veteran status or political affiliation.
