Head of Sales Analytics

Vintti is a cutting-edge staffing agency revolutionizing the way US companies build their teams. Leveraging advanced technology and embracing the power of remote work, we connect SMBs, startups, and firms across the United States with top-tier talent from Latin America. Our platform seamlessly integrates professionals into US business ecosystems, regardless of physical borders. Vintti operates on the principle of a borderless future of work, where skills and expertise trump geographical constraints.

The Head of Sales Analytics is a critical leadership role focused on harnessing data-driven insights to drive sales performance and strategy. This role involves overseeing the collection, analysis, and interpretation of sales data, identifying trends and opportunities for growth. The Head of Sales Analytics collaborates closely with other departments to develop actionable insights that inform sales tactics, forecasting, and resource allocation. The individual in this position ensures the adoption of advanced analytical tools and methodologies to maximize revenue and optimize the efficiency of the sales team.

- Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field.
- 8+ years of experience in sales analytics, business intelligence, or data analysis.
- Proven track record of leading and managing analytics teams.
- Strong proficiency in data analysis and visualization tools (e.g., SQL, R, Python, Tableau, Power BI).
- Experience with CRM systems (e.g., Salesforce) and data management frameworks.
- Advanced knowledge of statistical analysis, predictive modeling, and machine learning techniques.
- Excellent problem-solving and analytical skills.
- Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
- Proven ability to develop and implement data-driven strategies and forecasts.
- Strong understanding of sales processes and performance metrics.
- Demonstrated ability to manage multiple projects and meet deadlines.
- High attention to detail and commitment to data accuracy and integrity.
- Experience collaborating with cross-functional teams, including marketing, finance, and operations.
- Leadership skills with the ability to mentor and develop team members.
- Up-to-date with industry trends, techniques, and best practices in sales analytics and data science.

- Lead the sales analytics team to achieve performance goals.
- Develop and manage sales performance reports and executive dashboards.
- Analyze sales data to identify trends and improvement opportunities.
- Collaborate with sales leadership to create data-driven strategies and forecasts.
- Conduct deep-dive analyses for strategic decision-making and planning.
- Evaluate the effectiveness of sales campaigns and initiatives.
- Present data-driven insights and recommendations to stakeholders.
- Ensure data integrity and accuracy through best practices.
- Collaborate with marketing, finance, and operations for comprehensive insights.
- Establish and maintain key performance indicators (KPIs).
- Mentor and develop team members on analytics tools and methodologies.
- Apply advanced analytics techniques, such as predictive modeling and machine learning.
- Oversee the deployment and use of analytics software and tools.
- Provide ad-hoc analysis and reporting for senior management.
- Stay current with industry trends and best practices in sales analytics.

The ideal candidate for the Head of Sales Analytics role will possess a robust blend of leadership, analytical acumen, and strategic insight. With a bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field and over eight years of experience in sales analytics, business intelligence, or data analysis, this individual has a proven track record of leading and managing high-performing analytics teams. They are highly proficient in data analysis and visualization tools such as SQL, R, Python, Tableau, and Power BI, and possess advanced knowledge of CRM systems and data management frameworks. Mastery in statistical analysis, predictive modeling, and machine learning techniques enables them to unearth deep insights and drive data-driven strategies effectively. Their exceptional problem-solving and analytical skills are complemented by strong communication abilities, allowing them to present complex data insights to non-technical stakeholders convincingly. Known for managing multiple projects simultaneously and meeting deadlines, they exhibit a high attention to detail and an unwavering commitment to data accuracy and integrity. Coupled with a profound understanding of sales processes and performance metrics, they excel at collaborating with cross-functional teams and have a demonstrated ability to establish and maintain key performance indicators (KPIs). This individual is not only a strategic thinker but also a proactive innovator, staying current with industry trends and best practices in sales analytics. Furthermore, they are adept at mentoring and developing team members, fostering an environment of growth and continuous improvement. The candidate’s exceptional leadership skills, combined with their solid foundation in analytics, make them an invaluable asset to drive the organization’s sales performance and data-driven success.

- Lead and manage the sales analytics team to ensure optimal performance and productivity.
- Develop and maintain sales performance reports and dashboards for executive leadership.
- Analyze sales data to identify trends, opportunities, and areas for improvement.
- Collaborate with sales leadership to develop and implement data-driven strategies and forecasts.
- Conduct deep-dive analyses to support strategic decision-making and business planning.
- Monitor and evaluate the effectiveness of sales campaigns and initiatives.
- Create and present data-driven insights and recommendations to stakeholders.
- Ensure data integrity and accuracy by implementing best practices in data management.
- Collaborate with cross-functional teams, including marketing, finance, and operations, to provide comprehensive sales insights.
- Develop and maintain key performance indicators (KPIs) to measure sales performance.
- Mentor and develop team members, providing guidance and training on analytics tools and methodologies.
- Utilize advanced analytics techniques, such as predictive modeling and machine learning, to enhance sales strategies.
- Oversee the implementation and use of analytics software and tools.
- Provide ad-hoc analysis and reporting as requested by senior management.
- Stay up-to-date with industry trends and best practices in sales analytics and data science.

- Strong leadership and team management skills
- Exceptional analytical and problem-solving abilities
- High proficiency in data analysis and visualization tools
- In-depth experience with CRM systems and data management
- Advanced knowledge of predictive modeling and machine learning
- Excellent communication and presentation skills
- Proven track record of implementing data-driven strategies
- Strong understanding of sales processes and metrics
- Ability to manage multiple projects and meet deadlines
- High attention to detail and data accuracy
- Collaborative mindset for effective cross-functional teamwork
- Ability to mentor and develop team members
- Proactive and innovative approach to analytics
- Up-to-date with industry trends and best practices in analytics
- Strong strategic thinking and decision-making capabilities

- Competitive salary range of $130,000 to $170,000 per year
- Comprehensive health benefits including medical, dental, and vision insurance
- Performance-based bonuses and incentives
- 401(k) retirement plan with company match
- Generous paid time off (PTO) and holiday schedule
- Flexible work hours and remote work options
- Professional development opportunities and training programs
- Support for continuing education and certifications
- Opportunities for career advancement and growth within the company
- Employee wellness programs and resources
- Onsite fitness center and recreational facilities
- Company-sponsored social events and team-building activities
- Commuter benefits and transportation subsidies
- Employee assistance program (EAP) for personal and professional support
- Life and disability insurance coverage
- Access to cutting-edge analytics tools and technology
- Inclusive and diverse work environment
- Parental leave and family support benefits
- Tuition reimbursement programs
- Company-sponsored volunteer and community service initiatives