Data Insight Analyst

At Vintti, we're redefining the economics of staffing for US businesses. Our agency connects SMBs, startups, and firms with top Latin American talent, offering a dual benefit of high-quality work and cost savings. By tapping into this rich talent pool, our clients can optimize their budgets, increase productivity, and gain a competitive advantage in their respective markets.

A Data Insight Analyst is a professional tasked with interpreting complex data sets to help organizations make informed business decisions. They are responsible for collecting, processing, and analyzing diverse data to uncover patterns, trends, and actionable insights. By using various analytical tools and techniques, they transform raw data into meaningful information, which can influence strategic planning, marketing campaigns, and operational improvements. This role requires strong analytical skills, attention to detail, and the ability to effectively communicate findings to stakeholders across different levels of the organization.

- Bachelor’s degree in Data Science, Statistics, Computer Science, or related field
- Proven experience as a Data Analyst or similar role
- Proficiency in data analysis tools like R, Python, or SAS
- Expertise in data visualization tools such as Tableau, Power BI, or similar platforms
- Strong analytical and problem-solving skills
- Experience with SQL and database management
- Familiarity with data warehousing concepts
- Ability to translate complex data into actionable insights
- Excellent attention to detail and data accuracy
- Strong communication skills to convey technical information to non-technical stakeholders
- Ability to manage multiple tasks and meet deadlines
- Experience with data cleaning and preparation
- Knowledge of statistical methodologies and techniques
- Strong organizational skills and ability to document processes and findings
- Experience working with large datasets from varied sources
- Ability to work independently and as part of a team
- Up-to-date with the latest industry trends and technologies in data analytics

- Collect, clean, and manage datasets from multiple sources
- Analyze data to discover meaningful trends, patterns, and insights
- Develop and maintain interactive dashboards and analytical reports
- Generate data visualizations using Tableau, Power BI, or similar tools
- Collaborate with stakeholders to define data requirements and objectives
- Translate complex data findings into comprehensible insights for decision-making
- Evaluate and ensure the quality and accuracy of data
- Perform statistical analyses with R, Python, or SAS
- Address and fulfill ad-hoc data analysis requests from various teams
- Document processes, methodologies, and workflows related to data analysis
- Provide actionable recommendations based on data analysis
- Report key insights and trends to senior leadership
- Engage in cross-functional meetings to inform data-driven initiatives
- Stay abreast of industry trends and implement best practices in data analytics
- Mentor junior analysts in advanced data analysis skills
- Collaborate with IT teams to improve data access and streamline workflows

The ideal candidate for the Data Insight Analyst role is an exceptionally skilled and detail-oriented professional with a strong background in data analytics. They hold a bachelor's degree in Data Science, Statistics, Computer Science, or a related field, and have proven experience in similar roles. Proficient in programming languages such as R, Python, or SAS, and adept at using data visualization tools like Tableau or Power BI, they possess a robust understanding of statistical methodologies and techniques. Their analytical mindset is complemented by excellent problem-solving abilities and a high level of accuracy in data preparation and analysis. They are capable of interpreting and communicating complex data findings clearly to non-technical stakeholders, both through written and oral communication. Their organizational skills shine through in their ability to document processes meticulously and manage multiple tasks efficiently. This collaborative team player works effectively with stakeholders to define data requirements and translate business needs into actionable insights. They demonstrate a proactive approach to staying updated with industry trends and best practices and are committed to maintaining data integrity and quality. Additionally, they have experience working with large, diverse datasets and can mentor less experienced team members, contributing to a culture of continuous learning and improvement. Their strategic thinking enables them to provide valuable recommendations that drive data-driven decision-making, making them an indispensable asset to the team.

- Gather, clean, and organize raw data from various internal and external sources
- Conduct detailed data analysis to identify patterns, trends, and anomalies
- Develop and update dashboards and reports to present data in a clear and actionable manner
- Create data visualizations using tools such as Tableau, Power BI, or similar platforms
- Collaborate with business stakeholders to understand their data needs and requirements
- Interpret complex data sets and provide insights that drive strategic decision-making
- Conduct data quality assessments and implement measures to ensure data integrity
- Perform statistical analysis using software such as R, Python, or SAS
- Support ad-hoc data analysis requests from different departments
- Develop and maintain documentation for data processes, methodologies, and workflows
- Provide recommendations based on data insights to improve business processes and outcomes
- Monitor data trends and report findings to senior management
- Participate in cross-functional meetings to discuss data-driven strategies and initiatives
- Stay updated with the latest industry trends and best practices in data analytics
- Mentor and guide junior analysts in data analysis techniques and best practices
- Work with IT teams to enhance data accessibility and streamline data collection processes

- Analytical mindset with a strong attention to detail
- Exceptional problem-solving abilities
- Proficient in programming languages such as R, Python, or SAS
- Adept at using data visualization tools like Tableau or Power BI
- Strong understanding of statistical methodologies and techniques
- Ability to interpret and communicate complex data findings
- Excellent communication skills, both written and oral
- High level of accuracy in data preparation and analysis
- Collaborative team player who can work effectively with stakeholders
- Ability to mentor and guide less experienced team members
- Capable of managing multiple tasks and tight deadlines
- Proactive approach to staying updated with industry trends and best practices
- Self-motivated with a strong sense of initiative
- Strong organizational skills with the ability to document processes
- Experience working with large and diverse datasets
- Ability to translate business needs into data insights
- Commitment to maintaining data integrity and quality
- Strategic thinker who can contribute to data-driven decision-making

- Competitive salary range based on experience and qualifications
- Comprehensive health, dental, and vision insurance plans
- Flexible working hours and remote work options
- Generous paid time off (PTO) and holiday schedule
- Retirement savings plan with company matching contributions
- Professional development opportunities, including training and certifications
- Tuition reimbursement for further education
- Access to industry conferences and workshops
- Employee wellness programs and resources
- Performance-based bonuses and incentives
- Collaborative and inclusive company culture
- Opportunities for career advancement and growth within the organization
- Regular team-building activities and company events
- Employee referral program with bonuses
- Onsite gym and fitness facility access (if applicable)
- Commuter benefits and/or transportation reimbursement (if applicable)
- Employee assistance programs (EAP) for personal and professional support