Data Analytics Platform Manager

Vintti specializes in providing US companies with a financial edge through smart staffing solutions. We bridge the gap between American businesses and Latin American talent, offering access to a vast pool of skilled professionals at competitive rates. This approach enables our clients to scale their operations more efficiently, reduce hiring costs, and invest in growth opportunities without compromising on quality.

The Data Analytics Platform Manager is responsible for overseeing the development, maintenance, and optimization of an organization's data analytics architecture. This role involves managing data integration, ensuring data quality, and implementing best practices for data governance. The manager collaborates with stakeholders to understand business needs, designs scalable data solutions, and leverages analytics tools to drive insights and inform strategic decisions. Additionally, they lead a team of data professionals and ensure the platform's performance, security, and scalability align with the company's objectives.

- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
- Minimum of 5 years of experience in data analytics, data management, or related roles.
- Proven experience with data analytics platforms and tools (e.g., Hadoop, Spark, Tableau, Power BI, etc.).
- Strong knowledge of data governance and compliance practices.
- Proficiency in SQL, Python, R, or other relevant programming languages.
- Experience with ETL tools and processes.
- Familiarity with data architecture, modeling, and database design.
- Excellent troubleshooting skills for data pipeline and ingestion processes.
- Strong understanding of cloud platforms and services (e.g., AWS, Azure, Google Cloud).
- Demonstrated ability to collaborate with cross-functional teams and stakeholders.
- Experience in developing and maintaining technical documentation.
- Solid understanding of system performance evaluation and optimization.
- Proven ability to provide technical support and training to end-users.
- Strong analytical, problem-solving, and decision-making skills.
- Excellent communication and presentation skills.
- Commitment to continuous learning and staying updated with industry trends and best practices.
- Strong project management and organizational skills.
- Previous experience managing vendor relationships and service agreements.
- Knowledge of data storage, retention, and destruction policies and standards.

- Manage the ongoing operation and maintenance of the data analytics platform.
- Ensure platform availability and optimal performance are consistently upheld.
- Define and prioritize data analytics requirements in collaboration with cross-functional teams.
- Implement data governance practices for data integrity, security, and compliance.
- Monitor data ingestion processes and resolve any data pipeline issues promptly.
- Collaborate with data engineers, data scientists, and business analysts to improve data workflows and analytics solutions.
- Maintain and update all documentation related to the platform, including system architecture and data models.
- Develop and manage ETL processes to enable seamless data integration from various sources.
- Conduct system performance evaluations and recommend hardware and software improvements.
- Provide technical support and guidance to users and stakeholders of the platform.
- Create training materials and facilitate training sessions to improve user proficiency.
- Enforce policies for data storage, retention, and destruction in compliance with relevant standards.
- Continuously monitor and tune the platform for improved system efficiency and analytics capabilities.
- Stay updated with industry trends, technologies, and best practices, and recommend their adoption.
- Coordinate with vendors and service providers for platform troubleshooting and upgrades.
- Prepare and present regular performance reports and analytics insights to senior management.

The ideal candidate for the Data Analytics Platform Manager role will possess a Bachelor's degree in Computer Science, Information Technology, Data Science, or a related discipline, paired with a minimum of 5 years of robust experience in data analytics, data management, or related roles. They will demonstrate proficient expertise with leading data analytics platforms and tools, such as Hadoop, Spark, Tableau, and Power BI, and have a strong command of SQL, Python, R, or other pertinent programming languages. With a deep understanding of data governance, compliance practices, and proficient experience in ETL processes, they will excel in troubleshooting data pipeline issues and optimizing data ingestion processes. They will exhibit strong collaboration skills, working effectively with cross-functional teams, including data engineers, data scientists, and business analysts, to streamline data workflows and analytics solutions. Proficiency in maintaining comprehensive technical documentation, coupled with the ability to provide technical support and training to end-users, will be essential. The ideal candidate will demonstrate excellent system performance evaluation skills and provide actionable recommendations for hardware and software improvements. Additionally, they will be adept at managing vendor relationships, ensuring high platform availability and optimal performance. With a keen eye for detail, strong problem-solving and analytical abilities, and a proactive, adaptable approach, they will thrive in a fast-paced and dynamic environment. Strong leadership, team management skills, and strategic vision will enable them to drive continuous improvement and innovation within the data analytics domain. Moreover, their exceptional communication skills will facilitate the translation of complex technical concepts into clear, user-friendly language, ensuring effective stakeholder management and customer service orientation. High ethical standards, integrity in handling data and privacy concerns, and a commitment to lifelong learning and staying updated with industry trends will set this candidate apart as the perfect fit for the Data Analytics Platform Manager role.

- Oversee the management and upkeep of the data analytics platform to ensure high availability and optimal performance.
- Coordinate with cross-functional teams to define and prioritize data analytics requirements and deliverables.
- Develop and implement data governance practices to ensure data integrity, security, and compliance.
- Monitor data ingestion processes and troubleshoot any data pipeline issues.
- Collaborate with data engineers, data scientists, and business analysts to optimize data workflows and analytics solutions.
- Maintain and update documentation for the data analytics platform, including system architecture, data models, and user guides.
- Implement and manage ETL (Extract, Transform, Load) processes to facilitate seamless data integration from multiple sources.
- Conduct regular system performance evaluations and make recommendations for hardware and software improvements.
- Provide technical support and guidance to end-users and stakeholders utilizing the data analytics platform.
- Facilitate training sessions and create training materials to enhance user proficiency with data analytics tools and features.
- Develop and enforce policies for data storage, retention, and destruction in compliance with organizational and legal standards.
- Engage in continuous monitoring and tuning of the platform to enhance system efficiency and analytics capabilities.
- Stay updated with the latest trends, technologies, and best practices in the field of data analytics and make recommendations for adoption.
- Coordinate with vendors and service providers for troubleshooting and upgrades of the data analytics platform.
- Prepare and present regular reports on platform performance, analytics insights, and project progress to senior management.

- Strong leadership and team management skills
- Excellent problem-solving and analytical abilities
- High attention to detail and quality
- Strong collaboration and communication skills
- Adaptability and flexibility to handle evolving requirements and technologies
- Proactive and self-motivated with a results-oriented mindset
- Strong organizational and time-management skills
- Ability to manage multiple projects and priorities effectively
- High level of technical aptitude and hands-on experience
- Commitment to continuous improvement and learning
- Ability to thrive in a fast-paced and dynamic environment
- Strong customer service orientation and stakeholder management skills
- Strategic thinking and vision for the future of data analytics
- Ability to translate complex technical concepts into user-friendly language
- High ethical standards and integrity in handling data and privacy concerns.

- Competitive salary range based on experience and qualifications.
- Comprehensive health, dental, and vision insurance coverage.
- Retirement savings plan with company matching contributions.
- Flexible work hours and remote work options.
- Generous paid time off, including vacation, sick leave, and holidays.
- Professional development and continuing education opportunities.
- Performance-based bonuses and incentives.
- Employee wellness programs, including fitness memberships and mental health resources.
- Paid parental leave and family support programs.
- Opportunities for career advancement and internal mobility.
- Access to cutting-edge technologies and tools.
- Collaborative and inclusive work environment.
- Tuition reimbursement for relevant courses and certifications.
- Employee assistance programs and counseling services.
- Onsite amenities such as cafeterias, gym facilities, and recreational areas (if applicable).
- Transportation and commuting subsidies or allowances.
- Regular company-sponsored events and team-building activities.
- Stock options or equity in the company.
- Recognition and reward programs for outstanding performance.
- Safe and modern working environment equipped with the latest technology.