Data Analytics Manager
3 weeks ago
Sansar Tec is seeking a seasoned professional to lead our data analytics team in driving 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.
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:
- Hands-on experience in data modeling in a banking industry.
- Experience with data analysis tools and languages (e.g., SQL, Python, R) and data visualization software (e.g., Tableau, Power BI).
- Strong understanding of database management systems and data warehousing concepts.
- Excellent consulting skills and verbal and written communication skills.
- Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field; Master's degree preferred.
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