Data Quality Analyst

Vintti stands at the forefront of economically advantageous staffing solutions for US businesses. By facilitating partnerships between American companies and Latin American professionals, we offer a pathway to reduced operational costs without sacrificing quality. Our approach enables businesses to reinvest savings into core areas, fostering growth and enhancing overall market competitiveness.

A Data Quality Analyst plays a vital role in ensuring organizational data accuracy and integrity. This role involves analyzing complex datasets to identify and rectify inconsistencies, implementing data quality best practices, and developing standards and protocols to maintain high data quality. By performing detailed data audits, cleansing, and validations, Data Quality Analysts help organizations make informed decisions based on reliable data. They collaborate closely with data engineers, analysts, and other stakeholders to understand data needs and enhance databases and reporting systems, thereby supporting overall business intelligence and analytics efforts.

- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
- Proven experience as a Data Quality Analyst or in similar roles.
- Strong understanding of data governance and data quality management principles.
- Proficiency in SQL and database management.
- Experience with data profiling and data quality tools (e.g., Informatica, Talend, Alteryx).
- Knowledge of data warehousing and ETL (Extract, Transform, Load) processes.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Ability to perform complex data analysis and derive meaningful insights.
- Familiarity with BI tools such as Tableau, Power BI, or similar.
- Understanding of data integration and data migration processes.
- Experience with root cause analysis and problem-solving methodologies.
- Excellent written and verbal communication skills.
- Ability to create comprehensive documentation and reports.
- Strong collaboration skills and ability to work with cross-functional teams.
- Experience with data validation, cleansing, and verification techniques.
- Ability to manage multiple tasks and prioritize effectively.
- Working knowledge of data privacy and compliance regulations.
- Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint) or similar software.
- Proven ability to train and support business users in data quality best practices.

- Develop, implement, and manage data quality metrics and standards.
- Conduct data quality assessments and analyze results to identify data quality issues.
- Work with data stewards to ensure adherence to data governance policies.
- Monitor data quality trends and escalate significant data quality issues.
- Design and execute data cleansing processes to rectify data discrepancies.
- Collaborate with data architects and developers to enhance data quality.
- Create and maintain documentation for data quality processes and procedures.
- Perform root cause analysis to determine the source of data quality problems.
- Develop and maintain data validation and data verification protocols.
- Generate data quality reports and dashboards for stakeholders.
- Communicate data quality findings and recommendations to cross-functional teams.
- Provide support and training to business users on data quality best practices.
- Participate in data integration and data migration projects to ensure data integrity.
- Conduct routine audits to ensure ongoing data compliance and quality.
- Utilize data profiling tools to examine and assess the condition of the data.
- Establish and maintain relationships with key stakeholders to facilitate data quality efforts.
- Ensure data quality improvements are continuously implemented and monitored.
- Analyze data sets for consistency and accuracy.
- Identify gaps in data collection methods and propose solutions.
- Coordinate with IT to deploy data quality software and tools.

The ideal candidate for the Data Quality Analyst role is a highly analytical and meticulous individual with a Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field, coupled with proven experience in data quality management or similar roles. This candidate exhibits a strong understanding of data governance principles, proficiency in SQL and database management, and hands-on experience with data profiling and quality tools such as Informatica, Talend, or Alteryx. They possess exceptional problem-solving skills, attention to detail, and the ability to perform complex data analyses to derive actionable insights. Additionally, the ideal candidate is skilled in using BI tools like Tableau and Power BI, and is adept at root cause analysis and data validation processes. They are excellent communicators, capable of creating comprehensive documentation and effectively conveying technical concepts to non-technical stakeholders. A collaborative team player, this candidate has strong interpersonal skills, the ability to work well within cross-functional teams, and a proactive, self-motivated approach to continuous improvement. They are adaptable, resourceful, and demonstrate a high level of integrity and commitment to data accuracy, ensuring data quality improvements are continuously implemented. With a process-driven mindset and a strong technical aptitude, they are eager to leverage new data tools and methodologies, while also providing support and training to business users, fostering a culture of data quality excellence within the organization.

- Develop, implement, and manage data quality metrics and standards.
- Conduct data quality assessments and analyze results to identify data quality issues.
- Work with data stewards to ensure adherence to data governance policies.
- Monitor data quality trends and escalate significant data quality issues.
- Design and execute data cleansing processes to rectify data discrepancies.
- Collaborate with data architects and developers to enhance data quality.
- Create and maintain documentation for data quality processes and procedures.
- Perform root cause analysis to determine the source of data quality problems.
- Develop and maintain data validation and data verification protocols.
- Generate data quality reports and dashboards for stakeholders.
- Communicate data quality findings and recommendations to cross-functional teams.
- Provide support and training to business users on data quality best practices.
- Participate in data integration and data migration projects to ensure data integrity.
- Conduct routine audits to ensure ongoing data compliance and quality.
- Utilize data profiling tools to examine and assess the condition of the data.
- Establish and maintain relationships with key stakeholders to facilitate data quality efforts.
- Ensure data quality improvements are continuously implemented and monitored.
- Analyze data sets for consistency and accuracy.
- Identify gaps in data collection methods and propose solutions.
- Coordinate with IT to deploy data quality software and tools.

- Detail-oriented with a meticulous approach to tasks
- Strong analytical and critical thinking abilities
- Effective communicator with excellent written and verbal skills
- Collaborative team player with strong interpersonal skills
- Proactive and self-motivated with a strong sense of initiative
- Adaptable and flexible in a rapidly changing environment
- High degree of integrity and commitment to data accuracy
- Resourceful and creative in problem-solving
- Ability to work independently and manage time effectively
- Strong organizational skills and ability to prioritize tasks
- Ability to simplify complex data concepts for non-technical stakeholders
- Persistent and thorough in identifying and resolving data quality issues
- Passionate about data and continuous improvement
- Willingness to learn and stay updated with industry best practices
- Demonstrated ability to handle sensitive information with discretion
- Customer-focused mindset with an emphasis on delivering quality results
- Innovative thinker with a process-driven approach
- Strong technical aptitude and eagerness to leverage new data tools
- High level of patience and perseverance in troubleshooting
- Enthusiasm for teaching and mentoring others in data quality practices

- Competitive salary range
- Comprehensive health insurance plans (medical, dental, vision)
- Retirement savings plan with company match
- Flexible work hours and remote work options
- Generous paid time off (PTO) and holidays
- Professional development and training opportunities
- Tuition reimbursement program
- Career advancement and growth potential
- Employee wellness programs
- Life and disability insurance
- Access to cutting-edge technology and tools
- Collaborative and inclusive work environment
- Employee assistance programs (EAP)
- Paid parental leave
- Commuter benefits and transportation reimbursement
- Company-sponsored events and social activities
- Recognition and rewards programs for outstanding performance
- Ergonomic workspace options
- Access to industry conferences and seminars
- Volunteer and community involvement opportunities