Customer Data Analyst

Vintti bridges the staffing gap for US businesses with a unique focus on time zone compatibility. We source top talent from Latin America, offering companies access to professionals who are available during standard US working hours. This alignment eliminates the need for off-hour communications and allows for integrated teamwork, as if all team members were in the same office.

A Customer Data Analyst plays a critical role in understanding and leveraging customer information to drive business decisions. This role involves collecting, processing, and analyzing large sets of data related to customer behavior, preferences, and demographics. By transforming raw data into actionable insights, the Customer Data Analyst helps organizations enhance their marketing strategies, improve customer satisfaction, and optimize product and service offerings. The position requires proficiency in data analysis tools and methodologies, strong analytical skills, and the ability to communicate findings effectively to stakeholders.

- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field.
- Proven experience as a Data Analyst, preferably in the customer analytics field.
- Proficiency in data analysis tools and software (e.g., SQL, Python, R).
- Strong knowledge of data visualization tools (e.g., Tableau, Power BI).
- Familiarity with statistical analysis and data mining techniques.
- Experience with database management and data warehousing.
- Excellent analytical and problem-solving skills.
- Strong understanding of customer segmentation and predictive modeling.
- Ability to translate complex data into actionable insights.
- Strong attention to detail and accuracy.
- Good understanding of data privacy regulations and best practices.
- Ability to work collaboratively with cross-functional teams.
- Strong communication skills, both written and verbal.
- Capacity to manage multiple tasks and prioritize effectively.
- Continuous learning mindset to stay updated with data analytics trends and technologies.
- Experience with CRM systems and customer data platforms (preferred).
- Familiarity with big data technologies (e.g., Hadoop, Spark) (preferred).
- Certification in data analytics or related fields (preferred).

- Collect, clean, and analyze customer data from multiple sources.
- Develop and maintain comprehensive customer databases.
- Create regular reports and dashboards to summarize customer behavior and trends.
- Collaborate with marketing, sales, and product teams to understand and support data needs.
- Utilize data mining and statistical techniques to identify customer patterns and trends.
- Monitor and ensure the accuracy and quality of collected data.
- Perform segmentation analysis to identify distinct customer groups.
- Conduct ad hoc analyses based on specific business questions.
- Participate in strategy meetings to provide data-driven insights and recommendations.
- Use data visualization tools to present complex data clearly.
- Develop predictive models to forecast customer behavior and lifetime value.
- Ensure compliance with data privacy regulations and corporate policies.
- Continuously evaluate and enhance data collection and analysis processes.
- Stay updated with trends and best practices in data analytics.
- Coordinate with IT and data engineering teams for seamless data integration.
- Train and support team members in data analysis tools and methodologies.

The ideal candidate for the Customer Data Analyst role will possess a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field, complemented by proven experience as a Data Analyst, ideally within the realm of customer analytics. They will demonstrate proficiency with data analysis tools such as SQL, Python, and R, as well as strong acumen with data visualization tools like Tableau or Power BI. The candidate will have a profound understanding of statistical analysis, data mining techniques, customer segmentation, and predictive modeling, paired with experience in database management and data warehousing. They will exhibit excellent analytical and problem-solving skills, with an exceptional attention to detail and precision. Furthermore, the candidate must possess strong communication skills, enabling them to translate complex data into actionable insights clearly and effectively. They should have a comprehensive understanding of data privacy regulations and best practices. The ideal candidate will be a proactive, self-motivated individual with a continuous learning mindset, adaptable to new technologies and methodologies, and able to manage multiple tasks efficiently. They will excel in both independent and collaborative work environments, demonstrating strong organizational, time-management, and interpersonal skills. High ethical standards, a strong sense of accountability, and the ability to build fruitful relationships with diverse teams are crucial. The candidate will exhibit resilience and flexibility in a fast-paced environment, combined with a passion for data and analytics, strategic thinking, and a relentless commitment to continuous improvement and innovation.

- Collect, clean, and analyze customer data from various sources to generate meaningful insights.
- Develop and maintain customer databases and data collection systems.
- Create and distribute regular reports and dashboards that summarize customer behavior and trends.
- Collaborate with marketing, sales, and product teams to understand data needs and support decision-making.
- Utilize data mining and statistical techniques to identify patterns and trends in customer data.
- Monitor and ensure the quality and accuracy of data collected.
- Perform segmentation analysis to identify different customer groups and their specific characteristics.
- Conduct ad hoc analysis and generate reports based on specific business questions or requirements.
- Participate in data-driven strategy meetings to provide insights and recommendations.
- Use visualization tools to present complex data in an easily understandable format.
- Assist in developing predictive models to forecast customer behavior and lifetime value.
- Ensure compliance with data privacy regulations and company data policies.
- Continuously evaluate and improve data collection and analysis processes.
- Stay updated with the latest trends and best practices in data analytics and related technologies.
- Coordinate with IT and data engineering teams to ensure seamless data integration and consistency.
- Train and support other team members in the use of data analysis tools and methodologies.

- Analytical mindset with exceptional problem-solving abilities
- High attention to detail and precision
- Strong logical reasoning and critical thinking skills
- Excellent communication and interpersonal skills
- Proactive and self-motivated
- Eagerness to learn and adapt to new technologies and methodologies
- Strong organizational and time-management skills
- Ability to work independently and as part of a team
- Strong sense of accountability and responsibility
- Ability to convey complex information clearly and effectively
- Empathy and understanding of customer behavior and needs
- Curiosity and passion for data and analytics
- Resilience and flexibility in a fast-paced environment
- Commitment to continuous improvement and innovation
- Ability to take initiative and drive projects to completion
- Strong ethical standards and integrity
- Adaptability to changing business requirements
- Ability to build strong relationships and collaborate with diverse teams
- Detail-oriented with a focus on delivering high-quality work
- Strategic thinker with the ability to see the bigger picture

- Competitive salary range
- Comprehensive health insurance (medical, dental, vision)
- 401(k) retirement plan with company match
- Paid time off (vacation, sick leave, holidays)
- Flexible work hours
- Remote work options
- Professional development opportunities
- Tuition reimbursement program
- Access to industry conferences and seminars
- Employee wellness programs
- Ergonomic workplace setup
- Team building and company-sponsored events
- Casual dress code
- Performance-based bonuses
- Stock options or equity plans
- Life and disability insurance
- Commuter benefits or transportation reimbursement
- Employee assistance programs (EAP)
- Onsite gym or fitness benefits
- Company-provided equipment and tools
- Mentorship and coaching programs
- Opportunities for career advancement and promotions
- Recognition and rewards programs
- Collaborative and inclusive work environment
- Access to company resources and learning platforms
- Childcare assistance or childcare facility on premises