Data Operations Analyst

Vintti is a cutting-edge staffing agency revolutionizing the way US companies build their teams. Leveraging advanced technology and embracing the power of remote work, we connect SMBs, startups, and firms across the United States with top-tier talent from Latin America. Our platform seamlessly integrates professionals into US business ecosystems, regardless of physical borders. Vintti operates on the principle of a borderless future of work, where skills and expertise trump geographical constraints.

A Data Operations Analyst plays a crucial role in managing and optimizing data processes within an organization. This role involves overseeing data integrity, ensuring smooth data flow across various systems, and streamlining data operations to enhance efficiency. Collaborating closely with IT, data scientists, and business units, the analyst is responsible for troubleshooting data-related issues, maintaining databases, and implementing data governance policies. Their efforts help to ensure accurate, accessible, and secure data, ultimately enabling informed decision-making and strategic planning across the organization.

- Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field.
- Proven experience as a Data Analyst, Data Operations Analyst, or similar role.
- Strong proficiency in SQL and database management.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Proficiency in programming languages such as Python or R.
- Familiarity with ETL (Extract, Transform, Load) processes.
- Knowledge of data warehousing concepts and tools.
- Strong understanding of data collection, data cleaning, and data validation techniques.
- Excellent analytical and problem-solving skills.
- Attention to detail and a commitment to data accuracy.
- Ability to work independently and manage multiple tasks simultaneously.
- Strong written and verbal communication skills.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with data governance and data quality principles.
- Ability to collaborate effectively with cross-functional teams.
- Knowledge of industry best practices for data management and analytics.
- Experience with statistical analysis and modeling.
- Understanding of data privacy regulations and compliance requirements.
- Strong organizational and documentation skills.
- Ability to provide technical support and training to team members and stakeholders.

- Maintain and update databases to ensure data integrity and accuracy.
- Monitor data feeds and pipelines for potential issues, resolving discrepancies promptly.
- Analyze datasets to identify trends, patterns, and anomalies.
- Create and maintain dashboards and reports to support business decision-making.
- Collaborate with cross-functional teams to gather requirements and define data needs.
- Conduct routine data audits and quality checks to ensure high data quality.
- Design and implement data collection processes.
- Document data processes and workflows for future reference and training.
- Support data integration projects to ensure seamless data flow between systems.
- Assist in the development and implementation of data policies and procedures.
- Provide technical support and troubleshooting for data-related issues.
- Generate ad hoc reports based on specific business needs.
- Perform data cleansing to remove duplicate or corrupt records.
- Validate and verify the integrity of extracted data.
- Stay updated with industry best practices and new data tools and technologies.
- Train team members and stakeholders on data tools and best practices.
- Assist with the implementation of data warehousing and data governance initiatives.
- Develop and maintain technical documentation for data processes and projects.

The ideal candidate for the Data Operations Analyst role will possess a Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field, with proven experience in a similar position. They will have strong proficiency in SQL and database management, alongside expertise in data visualization tools like Tableau or Power BI. The candidate should demonstrate solid programming skills in Python or R and have a thorough understanding of ETL processes and data warehousing concepts. With a meticulous eye for detail, they will excel in data collection, cleaning, and validation techniques, ensuring high data quality and integrity. Strong analytical and problem-solving skills are a must, coupled with the ability to interpret data and provide actionable insights. The candidate will be adept at working independently, managing multiple tasks, and effectively collaborating with cross-functional teams. Excellent written and verbal communication skills are essential, as is the ability to provide technical support and training. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and knowledge of data governance and data privacy regulations are crucial. The candidate should be proactive, customer-focused, and possess a strong commitment to data privacy and confidentiality. They will be enthusiastic about continuous learning and staying current with industry trends, with a keen ability to adapt quickly to new tools and technologies. Their organizational skills and dedication to thorough documentation will ensure seamless data processes and workflows. Above all, the ideal candidate will be ethical, responsible, and passionate about maintaining data accuracy and supporting business needs through high-quality data management.

- Maintain and update databases, ensuring data integrity and accuracy.
- Monitor data feeds and pipelines for issues, promptly addressing any discrepancies.
- Analyze datasets to identify trends, patterns, and anomalies.
- Create and maintain dashboards and reports to support business decision-making.
- Collaborate with cross-functional teams to gather requirements and define data needs.
- Conduct routine data audits and quality checks.
- Design and implement data collection processes.
- Document data processes and workflows for future reference and training.
- Support data integration projects, ensuring seamless data flow between systems.
- Assist in the development and implementation of data policies and procedures.
- Provide technical support and troubleshooting for data-related issues.
- Analyze and interpret data to provide actionable insights.
- Participate in meetings to discuss data-driven strategies and business performance.
- Perform data cleansing to remove duplicate or corrupt records.
- Generate ad hoc reports based on specific business needs.
- Validate and verify the integrity of extracted data.
- Stay updated with industry best practices and new data tools and technologies.
- Train team members and stakeholders on data tools and best practices.
- Assist with the implementation of data warehousing and data governance initiatives.
- Develop and maintain technical documentation for data processes and projects.

- Detail-oriented with a high level of accuracy.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Proactive and able to anticipate potential issues.
- Strong organizational and multitasking abilities.
- Self-motivated with the ability to work independently.
- Collaborative mindset and ability to work well in team settings.
- Critical thinker with the ability to interpret data and provide actionable insights.
- Adaptable and able to quickly learn new tools and technologies.
- Committed to continuous learning and staying updated with industry trends.
- Strong technical acumen with a deep understanding of data systems and processes.
- Customer-focused with a desire to support business needs.
- Ability to prioritize tasks and manage deadlines effectively.
- Strong commitment to data privacy and confidentiality.
- Enthusiastic about data quality and governance.
- Consistent in creating and maintaining thorough documentation.
- Ethical and responsible in handling sensitive data.

- Competitive salary range commensurate with experience
- Comprehensive health insurance (medical, dental, vision)
- Retirement savings plan with company match
- Paid time off (PTO) and holidays
- Flexible work hours and remote work options
- Employee wellness programs and resources
- Professional development opportunities and training
- Tuition reimbursement program
- Employee assistance program (EAP)
- Performance-based bonuses and incentives
- Parental leave and family support benefits
- Work-life balance initiatives including flexible scheduling
- Company-sponsored social events and team-building activities
- Access to the latest data tools and technologies
- Opportunities for career growth and advancement within the company
- Collaborative and inclusive work environment
- Recognition and rewards for outstanding performance
- Employee discount programs and perks
- Modern and ergonomic office space
- Relocation assistance if applicable