Manager Data Analytics - Retail / Commercial Banking

Sansar Tec is seeking a skilled and motivated Manager of Data Analytics with experience in Retail/Commercial Banking industry to lead our data analytics team in transforming raw data into actionable insights that drive business strategy and decision-making. The ideal candidate will possess a strong analytical mindset, experience in data management and analytics tools, and the ability to communicate complex data concepts to both technical and non-technical stakeholders. This role will play a critical part in enhancing our data-driven initiatives across various departments, contributing to our mission of delivering exceptional services in custom application development, Salesforce configuration, ERP deployment, and data engineering.

Key Responsibilities

• Team Leadership:
• Lead and mentor a team of data analysts, fostering a collaborative and high-performing work environment.
• Establish performance metrics, conduct regular performance reviews, and provide professional development opportunities for team members.
• Data Strategy Development:
• Collaborate with senior leadership to define data analytics strategy and align it with organizational goals.
• Identify opportunities to leverage data analytics to enhance business operations and improve decision-making.
• Data Management:
• Oversee the collection, processing, and analysis of large datasets from various sources to ensure data integrity and accuracy.
• Develop and maintain data governance policies and procedures to ensure compliance with industry standards and regulations.
• Analytics and Reporting:
• Design and implement advanced analytical models, including predictive analytics and machine learning algorithms, to derive actionable insights.
• Create and present comprehensive reports and visualizations to communicate findings to stakeholders at all levels of the organization.
• Stakeholder Collaboration:
• Work closely with cross-functional teams, including marketing, sales, and operations, to understand their analytics needs and provide tailored solutions.
• Facilitate workshops and training sessions to promote data literacy and encourage a data-driven culture within the organization.
• Continuous Improvement:
• Stay updated on the latest trends and technologies in data analytics and recommend enhancements to existing processes and tools.
• Evaluate and implement new analytics tools and software to improve team efficiency and analytical capabilities.

Requirements

• Must have hands-on experience in data modeling in a banking industry
• Must have used tools like Erwin or Emcarbedero or similar experience
• Should have experience building Conceptual, Logical and Physical Models for a Retail/Commercial Bank
• Excellent consulting skills
• Excellent verbal and written communication skills
• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field; Master’s degree preferred.
• Proficiency in data analysis tools and languages (e.g., SQL, Python, R) and experience with data visualization software (e.g., Tableau, Power BI).
• Strong understanding of database management systems and data warehousing concepts.