Predictive Analyst

Vintti is a specialized staffing agency that believes diversity is the catalyst for innovation. We connect US-based SMBs, startups, and firms with exceptional talent from Latin America, fostering a rich tapestry of cultural perspectives within American businesses. Our unique position allows us to handpick professionals who not only possess the required skills but also bring fresh ideas and global insights to the table. Vintti's services go beyond filling positions; we enrich company cultures and expand business horizons on an international scale.

A Predictive Analyst leverages statistical techniques, machine learning algorithms, and data mining to analyze current and historical data, identifying patterns and predicting future trends. This role is crucial in transforming raw data into strategic insights, providing businesses with the foresight needed to make informed decisions. By translating complex data into actionable forecasts, Predictive Analysts help organizations to anticipate market shifts, optimize operational efficiency, and drive growth. Their work often involves collaboration with cross-functional teams to implement predictive models that enhance decision-making processes across various business domains.

- Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field.
- Advanced degree (Master's or Ph.D.) preferred.
- Proven experience as a Predictive Analyst, Data Scientist, or similar role.
- Proficiency in statistical analysis and machine learning techniques.
- Expertise in data manipulation using SQL, Python, R, or other relevant programming languages.
- Strong experience with data visualization tools such as Tableau, Power BI, or similar.
- Familiarity with data mining techniques and algorithms.
- Solid understanding of data warehouse and ETL processes.
- Experience conducting A/B testing and interpreting results.
- Strong problem-solving skills and analytical thinking.
- Excellent communication skills, with the ability to convey complex findings to non-technical stakeholders.
- Ability to collaborate effectively with cross-functional teams.
- Strong attention to detail and commitment to data integrity.
- Experience developing and maintaining predictive analytics workflows and pipelines.
- Knowledge of data protection regulations and best practices.
- Ability to stay updated with the latest industry trends and technologies in predictive analytics.
- Experience preparing detailed documentation of methods, procedures, and results.
- Strong organizational skills and the ability to manage multiple projects simultaneously.
- Experience training and mentoring junior analysts.
- Ability to work autonomously with minimal supervision.
- Familiarity with big data technologies and tools such as Hadoop, Spark, or similar is a plus.

- Collect and analyze large datasets to identify trends and patterns.
- Develop predictive models using statistical techniques and machine learning algorithms.
- Use data visualization tools to create dashboards and reports.
- Work closely with stakeholders to understand business requirements and objectives.
- Communicate findings and insights to non-technical stakeholders.
- Continuously monitor and refine predictive models to improve accuracy.
- Implement data mining strategies to discover previously unseen insights.
- Collaborate with data engineers to ensure data quality and integrity.
- Prepare detailed documentation of methods, procedures, and results.
- Conduct ad-hoc data analysis as requested by various departments.
- Stay updated with the latest industry trends and technologies in predictive analytics.
- Perform A/B testing to validate the effectiveness of predictive models.
- Evaluate the performance of existing models and make necessary improvements.
- Use SQL, Python, R, or other programming languages for data manipulation and analysis.
- Provide strategic recommendations based on data-driven insights.
- Develop and maintain predictive analytics workflows and pipelines.
- Ensure compliance with data protection regulations and best practices.
- Participate in cross-functional team meetings to share insights and progress updates.
- Design and conduct experiments to test hypotheses and validate predictive models.
- Train and mentor junior analysts on predictive analytics techniques and tools.

The ideal candidate for the Predictive Analyst role will possess a bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field, with an advanced degree (Master's or Ph.D.) being highly preferred. They will have proven experience in predictive analytics, data science, or a similar role, showcasing their proficiency in statistical analysis and machine learning techniques. The candidate will be adept in data manipulation using SQL, Python, R, or other relevant programming languages and will have strong experience with data visualization tools like Tableau or Power BI. They will demonstrate a solid understanding of data mining techniques, data warehouse processes, and ETL operations, along with hands-on experience conducting and interpreting A/B tests. Effective communication will be a hallmark, enabling them to convey complex findings to non-technical stakeholders. Their ability to collaborate with cross-functional teams, maintain a detail-oriented approach with a commitment to data integrity, and manage multiple projects simultaneously will be crucial. The candidate will have experience in developing and maintaining predictive analytics workflows and pipelines, ensuring compliance with data protection regulations. They will be proactive, self-motivated, and capable of working autonomously, with a curiosity and enthusiasm for staying updated with the latest industry trends. Additionally, they will demonstrate leadership qualities through mentoring junior analysts and employ innovative thinking to identify and implement new data analysis techniques. They will possess a resilient mindset to navigate through ambiguity and fast-paced environments, always upholding strong ethical standards and a passion for leveraging data to drive strategic business decisions.

- Collect and analyze large datasets to identify trends and patterns.
- Develop predictive models using statistical techniques and machine learning algorithms.
- Use data visualization tools to create dashboards and reports.
- Work closely with stakeholders to understand business requirements and objectives.
- Communicate findings and insights to non-technical stakeholders.
- Continuously monitor and refine predictive models to improve accuracy.
- Implement data mining strategies to discover previously unseen insights.
- Collaborate with data engineers to ensure data quality and integrity.
- Prepare detailed documentation of methods, procedures, and results.
- Conduct ad-hoc data analysis as requested by various departments.
- Stay updated with the latest industry trends and technologies in predictive analytics.
- Perform A/B testing to validate the effectiveness of predictive models.
- Evaluate the performance of existing models and make necessary improvements.
- Use SQL, Python, R, or other programming languages for data manipulation and analysis.
- Provide strategic recommendations based on data-driven insights.
- Develop and maintain predictive analytics workflows and pipelines.
- Ensure compliance with data protection regulations and best practices.
- Participate in cross-functional team meetings to share insights and progress updates.
- Design and conduct experiments to test hypotheses and validate predictive models.
- Train and mentor junior analysts on predictive analytics techniques and tools.

- Analytical mindset with strong problem-solving skills
- Detail-oriented and committed to data integrity
- Excellent communication skills for conveying complex findings to non-technical stakeholders
- Ability to work collaboratively with diverse, cross-functional teams
- Proactive and self-motivated with the ability to work autonomously
- Adaptable and open to continuous learning and professional development
- Strong organizational skills with the capability to manage multiple projects simultaneously
- Demonstrated leadership qualities for mentoring junior analysts
- Innovative thinker who can identify and implement new data analysis techniques
- Strong ethical standards and commitment to data protection compliance
- Passionate about leveraging data to drive business insights and strategic decisions
- Curious and enthusiastic about the latest trends and technologies in predictive analytics
- Resilient and capable of handling and navigating through ambiguity and fast-paced environments

- Competitive salary range, commensurate with experience
- Comprehensive health insurance (medical, dental, vision)
- Flexible working hours and the possibility of remote work
- Generous paid time off (PTO) and holiday leave
- Retirement savings plan with employer matching
- Professional development opportunities, including conferences and workshops
- Access to online learning platforms and resources
- Career advancement pathways within the company
- Employee wellness programs and fitness subsidies
- Office perks such as free snacks, coffee, and ergonomic workspaces
- Company-sponsored social events and team-building activities
- Paid parental leave and family support programs
- Employee assistance program (EAP) for mental health and counseling services
- Commuter benefits or transportation subsidies
- Performance-based bonuses and incentives
- Tuition reimbursement for further education or certifications
- Recognition and rewards programs for outstanding performance
- Discounted memberships or partnerships with local businesses and services
- Access to the latest tools and technologies in the field of predictive analytics