SQL Data 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.

An SQL Data Analyst is a critical role within any data-driven organization, specializing in the management, manipulation, and analysis of complex datasets using Structured Query Language (SQL). This role involves extracting valuable insights from large databases to inform strategic decision-making, optimizing data workflows, and ensuring data integrity. With a sharp analytical mindset, an SQL Data Analyst transforms raw data into actionable intelligence by creating detailed reports, identifying trends, and providing meaningful visualizations. Their expertise supports diverse business functions, driving efficiency and fostering data-informed growth pathways.

- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field
- Minimum of 3 years of experience in data analysis and SQL development
- Proficiency in SQL, including complex queries and query optimization
- Experience with ETL processes and tools
- Familiarity with data visualization tools such as Tableau, Power BI, or similar
- Strong analytical skills and the ability to interpret complex data sets
- Experience with data quality monitoring and data cleaning techniques
- Knowledge of database design principles and data modeling
- Excellent problem-solving and troubleshooting skills
- Ability to collaborate effectively with cross-functional teams
- Strong written and verbal communication skills
- Detail-oriented and highly organized
- Familiarity with data governance and data management best practices
- Ability to stay current with industry trends and emerging technologies in data analytics
- Experience with programming languages such as Python or R (a plus)

- Extract, transform, and load (ETL) data from various databases and data sources
- Develop and maintain complex SQL queries for data extraction and analysis
- Conduct data analysis to identify trends, patterns, and actionable insights
- Create and manage dashboards and reports using SQL and data visualization tools
- Monitor data quality, conduct data cleaning, and regularly validate data accuracy
- Collaborate with cross-functional teams to gather data requirements and deliver insights
- Optimize SQL queries to improve efficiency of data retrieval and processing
- Troubleshoot SQL queries and resolve related issues
- Document data definitions, ETL processes, and analytical methodologies thoroughly
- Design and implement database schemas and structures to support data initiatives
- Provide training and support on data analysis and SQL best practices to team members
- Communicate findings and insights to stakeholders via presentations and reports
- Stay current with industry trends and new technologies in data analytics and SQL
- Perform ad-hoc data analysis and reporting for various departments as needed
- Participate in the development and enforcement of data governance policies
- Contribute to data management initiatives and ensure compliance with data-related policies

The ideal candidate for the SQL Data Analyst role will possess a Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field, coupled with a minimum of three years of hands-on experience in data analysis and SQL development. This individual will have a profound mastery of SQL, including crafting complex queries and performing query optimization, reinforced by robust experience with ETL processes and tools. The candidate will demonstrate strong analytical skills, capable of interpreting intricate data sets to extract meaningful trends and insights. Additionally, they will be proficient with data visualization tools such as Tableau or Power BI, enabling them to create compelling and informative dashboards and reports. The ideal candidate will have a keen eye for detail, ensuring data quality through effective monitoring and cleansing techniques and will be well-versed in database design principles and data modeling. Excellent problem-solving abilities and troubleshooting skills are essential, as is the capacity to collaborate seamlessly with cross-functional teams to understand and fulfill data requirements. Strong written and verbal communication skills are critical, as the role requires presenting findings and recommendations to stakeholders clearly and persuasively. The candidate will be highly organized, capable of managing multiple tasks and priorities, and exhibit a proactive approach to problem-solving. A commitment to continuous learning and staying current with industry trends and emerging technologies in data analytics is essential. Furthermore, familiarity with data governance and management best practices and experience with programming languages like Python or R will be advantageous. The ideal candidate will exhibit a strong ethical conduct, high level of integrity, and be a curious, innovative thinker who is adaptable, a quick learner, and can work both independently and collaboratively as part of a team.

- Extract, transform, and load (ETL) data from various databases and data sources
- Develop and maintain SQL queries to support data extraction and analysis
- Conduct complex data analysis to identify trends, patterns, and insights
- Create and manage dashboards and reports using SQL and visualization tools
- Monitor data quality and perform regular data cleaning and validation tasks
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights
- Optimize and troubleshoot SQL queries to ensure efficient data retrieval and processing
- Document data definitions, ETL processes, and analytical methodologies
- Assist in the design and implementation of database schemas and structures
- Provide support and training to team members on best practices in data analysis and SQL usage
- Communicate findings and recommendations to stakeholders through presentations and reports
- Stay updated on industry trends and emerging technologies in data analytics and SQL practices
- Perform ad-hoc analysis and reporting as needed by various departments
- Participate in data governance and data management initiatives
- Assist in developing and enforcing data-related policies and procedures

- Strong analytical mindset
- Attention to detail
- High level of accuracy
- Proactive problem solver
- Excellent communication skills
- Team player
- Ability to work independently
- Strong organizational skills
- Quick learner
- Adaptable to changing requirements
- Technical proficiency in SQL and data visualization tools
- Curious and innovative thinker
- Commitment to continuous learning
- Ability to manage multiple tasks and priorities
- High level of integrity and ethical conduct

- Competitive salary range based on experience and qualifications
- Comprehensive health, dental, and vision insurance plans
- 401(k) retirement plan with company match
- Generous paid time off (PTO) and holiday schedule
- Flexible work hours and remote work options
- Professional development and training opportunities
- Tuition reimbursement for relevant courses and certifications
- Employee wellness programs and gym membership discounts
- Career growth and advancement opportunities within the company
- Collaborative and inclusive work environment
- Access to cutting-edge data analytics tools and technologies
- Employee assistance programs (EAP) for mental health and well-being
- Company-sponsored team-building activities and events
- Opportunity to work on challenging and innovative projects
- Recognition and rewards programs for outstanding performance