Data Analytics Manager - Banking

Responsibilities:

1. Develop and implement Analytics Strategy:

- Define the analytics roadmap for the credit card business, aligning it with overall business objectives.

- Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business.

- Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives.

2. Lead Data Analysis and Insights:

- Conduct in-depth analysis of credit card data, customer behavior, and market trends to identify opportunities for business growth and risk mitigation.

- Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities.

- Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies.

- Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information.

3. Drive Data Governance and Quality:

- Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms.

- Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities.

- Establish and enforce data privacy and security protocols to comply with regulatory requirements.

4. Team Leadership and Collaboration:

- Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning.

- Provide guidance and mentorship to the team, promoting professional growth and development.

- Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives.

5. Stay Updated on Industry Trends:

- Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry.

- Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools.

Qualifications:

- Bachelor's or master's degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field.

- Proven experience (7+ years) in leading analytics teams in the credit card industry.

- Strong expertise in statistical analysis, predictive modeling, data mining, and segmentation techniques.

- Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL.

- Experience with analytics tools such as SAS, SPSS, or Tableau.

- Excellent leadership and team management skills, with a track record of building and developing high-performing teams.

- Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle.

- Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience.