As the Vice President of the Data Intelligence Group at TresVista, your role will involve leading, mentoring, and developing a team of Associates and Analysts. You will oversee and drive technical initiatives, providing a dynamic path for learning and growth with high exposure to team management and client engagement.
Key Responsibilities:
• Collaborate with stakeholders to understand requirements and use analytical tools to create a data pipeline for actionable insights into financial management, operational efficiency, and key business performance metrics.• Identify, design, and implement internal process improvements, automate manual processes, optimize data delivery, and support infrastructure redesign for scalability.• Develop sophisticated and innovative analytical solutions and actionable insights for stakeholders.• Acquire data from multiple sources, convert it into a specified format for storage in a database to generate insights.• Support the creation of Coding Best Practices, Software Product Training Materials, User Guides, and Deployment Instructions.• Fix software defects/bugs, measure and analyze code for quality.People Manager:
• Manage teams working on multiple projects for different clients, ensuring high performance and effective collaboration.• Mentor and develop team members in areas such as Data Engineering, Predictive Analytics, and Gen AI.• Actively support business strategy, plans, and values to contribute to a high-performance culture.• Foster a culture of continuous improvement, encouraging the adoption of best practices across the analytics value chain.Prerequisites:
• Hands-on experience with ETL (Python/Spark/R) tools and Data Warehouse.• Extensive hands-on experience in Data Science (ML, Deep Learning) and Gen AI using Python.• Experience with SDLC methodologies like Agile.• Strong experience with Cloud Platforms (AWS/Azure) and solution designing.• Experience with visualization tools such as Tableau, Power BI, or Qlik.• Experience in designing, developing, and maintaining complex enterprise applications.• Proficient Communication Skills, High Quantitative ability, and Analytical skills.• Experience with modern SDLC tools like Git, Bit Bucket, JIRA, or Trello is a plus.Experience:
• 8+ years of experience in Data Engineering or Software Development.Education:
• Bachelors/Master's degree from Tier-1 colleges preferred.Compensation:
• The compensation structure will be as per industry standards. As the Vice President of the Data Intelligence Group at TresVista, your role will involve leading, mentoring, and developing a team of Associates and Analysts. You will oversee and drive technical initiatives, providing a dynamic path for learning and growth with high exposure to team management and client engagement.Key Responsibilities:
• Collaborate with stakeholders to understand requirements and use analytical tools to create a data pipeline for actionable insights into financial management, operational efficiency, and key business performance metrics.• Identify, design, and implement internal process improvements, automate manual processes, optimize data delivery, and support infrastructure redesign for scalability.• Develop sophisticated and innovative analytical solutions and actionable insights for stakeholders.• Acquire data from multiple sources, convert it into a specified format for storage in a database to generate insights.• Support the creation of Coding Best Practices, Software Product Training Materials, User Guides, and Deployment Instructions.• Fix software defects/bugs, measure and analyze code for quality.People Manager:
• Manage teams working on multiple projects for different clients, ensuring high performance and effective collaboration.• Mentor and develop team members in areas such as Data Engineering, Predictive Analytics, and Gen AI.• Actively support business strategy, plans, and values to contribute to a high-performance culture.• Foster a culture of continuous improvement, encouraging the adoption of best practices across the analytics value chain.Prerequisites:
• Hands-on experience with ETL (Python/Spark/R) tools and Data Warehouse.• Extensive hands-on experience in Data Science (ML, Deep Learning) and Gen AI using Python.• Experience with SDLC methodologies like Agile.• Strong experience with Cloud Platforms (AWS/Azure) and solution designing.• Experience with visualization tools such as Tableau, Power BI, or Qlik.• Experience in designing, developing, and maintaining complex enterprise applications.• Proficient Communication Skills, High Quantitative ability, and Analytical skills.• Experience with modern SDLC tools like Git, Bit Bucket, JIRA, or Trello is a plus.Experience:
• 8+ years of experience in Data Engineering or Software Development.Education:
• Bachelors/Master's degree from Tier-1 colleges preferred.Compensation:
• The compensation structure will be as per industry standards.