Product Data Analyst

Vintti is a dynamic staffing agency bridging the gap between Latin American talent and US-based businesses. We specialize in connecting skilled professionals from Latin America with small and medium-sized businesses, startups, and firms across the United States. Our mission is to provide top-tier staffing solutions that enable US companies to access a diverse pool of talented individuals while offering exciting career opportunities to Latin American professionals. By leveraging our extensive network and deep understanding of both markets, Vintti facilitates mutually beneficial partnerships that drive growth and innovation for our clients and candidates alike.

A Product Data Analyst plays a critical role in leveraging data to support product development and optimization. They are responsible for collecting, processing, and analyzing product data to identify trends, patterns, and opportunities. By transforming raw data into actionable insights, they help inform strategic decisions and drive continuous improvement. These analysts work closely with cross-functional teams, including product managers, engineers, and marketers, to ensure data-driven strategies align with business objectives. Their work enables organizations to enhance product performance, user experience, and overall market competitiveness.

- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.
- 2+ years of experience in a data analysis or similar role.
- Proficiency in SQL for data extraction and manipulation.
- Strong experience with data analysis tools such as Python, R, or similar.
- Advanced skills in Excel, including pivot tables, VLOOKUP, and data visualization techniques.
- Experience with data visualization tools such as Tableau, Power BI, Looker, or similar.
- Strong analytical and critical thinking skills, with the ability to translate complex data into actionable insights.
- Proven ability to conduct A/B testing, regression analysis, and other statistical methods.
- Understanding of product analytics, user behavior metrics, and key performance indicators (KPIs).
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Experience in cleaning and preprocessing large datasets.
- Familiarity with data warehousing solutions such as Redshift, BigQuery, or similar.
- Knowledge of data modeling and creating ETL (extract, transform, load) processes.
- Attention to detail and a commitment to data accuracy and integrity.
- Ability to work independently and manage multiple projects concurrently.
- Experience with version control systems such as Git.
- Comfortable working in a fast-paced, dynamic environment.
- Demonstrated ability to collaborate with cross-functional teams.
- Knowledge of predictive modeling and machine learning techniques is a plus.
- Passion for continuous learning and staying updated with industry trends and best practices in data analysis and product analytics.

- Collect and clean large datasets to support product development and business decisions.
- Develop automated dashboards and reports to track KPIs and product metrics.
- Conduct in-depth analysis of product usage data to identify trends and areas for improvement.
- Collaborate with product managers, engineers, and stakeholders to define data needs.
- Translate business questions into analytical frameworks for actionable insights.
- Perform A/B testing and other experimental designs to evaluate product changes.
- Monitor and analyze performance of product launches and updates, providing feedback.
- Create presentations and visualizations to communicate complex data to non-technical stakeholders.
- Utilize SQL, Python, R, or other tools to manipulate and interpret data.
- Write and maintain documentation for data processes, methodologies, and analysis results.
- Identify and troubleshoot data integrity issues with engineering teams.
- Stay updated with industry trends, data methodologies, and best practices.
- Participate in cross-functional meetings to provide data-driven insights on product strategy.
- Design and implement data models to enhance analysis and reporting capabilities.
- Support development of predictive models and algorithms to forecast product performance and user behavior.

The ideal candidate for the Product Data Analyst role is a highly analytical and detail-oriented professional with a strong background in data analysis and a passion for using data to drive product development and business decisions. They hold a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Data Science, and bring over two years of hands-on experience in a similar role. They are proficient in SQL, Python, R, and advanced Excel functions, enabling them to extract, manipulate, and analyze large datasets effectively. With a deep understanding of product analytics, user behavior metrics, and KPIs, they expertly conduct A/B testing and other statistical methods to evaluate the impact of product changes. Their strong critical thinking skills allow them to translate complex business questions into actionable analytical frameworks, providing clear and insightful data visualizations through tools like Tableau, Power BI, or Looker. Effective communication is one of their key strengths, as they can easily explain technical concepts to non-technical stakeholders, fostering collaborative relationships with product managers, engineers, and other team members. Demonstrating a commitment to data accuracy and integrity, they are adept at identifying and resolving data quality issues and documenting all processes meticulously. The ideal candidate is a proactive self-starter, comfortable managing multiple projects simultaneously, and thrives in a fast-paced, dynamic environment. They possess a curious and inquisitive nature, continuously seeking to uncover deeper insights and stay updated with the latest industry trends and methodologies. With a strong sense of ownership over their work, a positive attitude, and resilience in the face of challenges, they are driven by results and dedicated to delivering actionable insights that propel the organization forward.

- Collect, clean, and analyze large datasets to support product development and business decisions.
- Develop and maintain automated dashboards and reports to track key performance indicators (KPIs) and product metrics.
- Conduct in-depth analysis of product usage data to identify trends, patterns, and areas for improvement.
- Collaborate with product managers, engineers, and other stakeholders to define data needs and requirements.
- Translate business questions into analytical frameworks and conduct investigations to provide actionable insights.
- Perform A/B testing and other experimental designs to evaluate the impact of product changes and new features.
- Monitor and analyze the performance of product launches and updates, providing feedback and recommendations for future improvements.
- Create and deliver presentations and visualizations that clearly communicate complex data and insights to non-technical stakeholders.
- Utilize SQL, Python, R, or other data analysis tools to manipulate and interpret data.
- Write and maintain documentation for data processes, methodologies, and analysis results.
- Identify and troubleshoot data integrity issues, collaborating with engineering teams to resolve them.
- Stay up to date with industry trends, data methodologies, and best practices to continually improve analytical capabilities.
- Participate in cross-functional meetings to provide a data-driven perspective on product strategy and planning.
- Design and implement data models to enhance analysis and reporting capabilities.
- Support the development of predictive models and algorithms to forecast product performance and user behavior.

- Analytical mindset with strong problem-solving skills
- Detail-oriented with a commitment to data accuracy and integrity
- Effective communicator with the ability to present complex data to non-technical audiences
- Proactive self-starter with the ability to work independently
- Collaborative team player able to work effectively with cross-functional teams
- Strong organizational skills and ability to manage multiple projects simultaneously
- Quick learner with a passion for continuous learning and staying updated with industry trends
- Demonstrated adaptability in a fast-paced, dynamic environment
- Results-driven with a focus on delivering actionable insights
- Innovative thinker with a willingness to explore new methodologies and technologies
- Strong critical thinking skills to translate business questions into analytical frameworks
- Demonstrated capability in handling large datasets and ensuring data quality
- Curious and inquisitive nature, always digging deeper to uncover insights
- Responsible and accountable, with a strong sense of ownership over work
- Positive attitude and resilience when facing challenges

- Competitive salary range, commensurate with experience
- Comprehensive health insurance plans, including medical, dental, and vision coverage
- Flexible work hours with options for remote work
- Generous paid time off (PTO) policy, including vacation, sick leave, and holidays
- Retirement savings plan with company match
- Professional development opportunities, including training programs, workshops, and conferences
- Tuition reimbursement for continued education
- Employee wellness programs and resources
- Performance-based bonuses and incentives
- Opportunities for career advancement and growth within the company
- Casual and inclusive office environment
- Access to the latest tools and technologies for data analysis and product development
- Company-sponsored social events and team-building activities
- Ergonomic workstations and equipment
- Commuter benefits and parking assistance
- Employee discount programs for various services and products
- Supportive and collaborative company culture that values innovation and creativity