Data Scientist

POSITION RESPONSIBILITIES & ESSENTIAL FUNCTIONS:

• Design and implement database solutions to support financial reporting, analysis, and modeling.
• Develop and maintain database schemas, tables, indexes, and views to optimize data storage and retrieval.
• Write complex SQL queries to extract, manipulate, and analyze financial data from various sources.
• Collaborate with corporate finance teams to understand data requirements and provide technical expertise in database design and optimization.
• Lead and mentor a team of business analysts, providing guidance on best practices in data analysis, reporting, and database development.
• Create and maintain interactive dashboards and reports to visualize financial data and key performance indicators.
• Partner with IT teams in system implementation and integration efforts to ensure seamless data flow and compatibility with existing systems.
• Ensure data integrity, accuracy, and security through regular monitoring, maintenance, and backups.
• Troubleshoot database issues and performance bottlenecks and implement solutions to optimize database performance.
• Stay updated on industry best practices and emerging technologies in database management, SQL programming, and dashboard design.

QUALIFICATIONS & EXPERIENCE:

• Bachelor's degree in Computer Science, Information Technology, Finance, or related field. Master's degree preferred.
• Proven experience (5+ years) working as a Data Scientist, Database Administrator, Database Developer, or similar role, preferably supporting a corporate finance team, providing direct reporting to executive leadership and C-Suite
• Proficiency in SQL programming and database management systems (e.g., Oracle, SQL Server, MySQL, PostgreSQL).
• Experience with Snowflake data platform, including data modeling, querying, and administration.
• Strong understanding of relational database concepts, data modeling, and database normalization.
• Experience in designing and optimizing database schemas for financial applications.
• Excellent problem-solving skills and attention to detail.
• Ability to communicate technical concepts effectively to non-technical stakeholders.
• Strong organizational and people management skills, with the ability to prioritize tasks and meet deadlines.
• Coordinated project timelines and resource allocation, ensuring smooth collaboration between teams in a fast-paced environment.

Skills:

• Leadership & People Management: Team Coordination, Mentorship, Cross-functional Collaboration.
• Experience with financial reporting tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of scripting languages (e.g., Python, PowerShell) for automation tasks.
• Familiarity with SaaS/Subscription Metrics and financial measures, with a focus on recurring revenue: Churn Prevention, Customer Funnel, Customer Lifetime Value, ARR
• Forecasting, FP&A, and Customer KPI Projections.
• Demonstrate ability in performing statistical analyses and creating predictive data models to deliver insights and implement action-oriented solutions.
• Adept at collecting, analyzing, and interpreting large datasets, and performing data management tasks.
• Familiar with regression models.
• Deliver valuable insights via data analytics and advanced data-driven methods that drive business growth, customer loyalty, and profit improvements.