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.
Qualifications
- 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.