
AVP, Business Analytics
- Bangalore, Karnataka
- Permanent
- Full-time
- Data Exploration. Understand existing data & reporting by dwelling into multiple platforms scattered across the organization. You do what it takes to gather information by connecting with people across business teams and technology.
- Data Analysis & Interpretation: Conduct in-depth data analysis to identify trends, patterns, and anomalies in business data. A hands-on approach is essential, demanding proficiency in a range of tools and technologies to extract, transform, and analyze data effectively.
- Business Knowledge: Develop business context and knowledge. Proactively seek out best practices and adopt the same in day-to-day functioning. Navigate team to use right data, apply right analytical tools and techniques to yield best in class solution for business
- Technical Leadership & Mentorship: Will provide technical leadership and guidance in the application of analytical techniques to complex operational problems. Champion the design, development, and deployment of cutting-edge analytical solutions that furnish actionable insights to operations teams. Mentor and guide team members on best practices in data analysis, solutioning.
- Stakeholder Management: Will collaborate closely with operations stakeholders to understand their specific needs and translate those needs into effective analytical solutions. Communicate project status, risks, and issues to stakeholders timely manner. Present findings to stakeholders in a clear and concise manner.
- Project Management: Drive projects from inception to completion, ensuring adherence to timelines and budgets, Process documentation, Governance through JIRA tool.
- Speed & Innovate: Demonstrate hyper speed in performance and Innovation at work to deal with complex business problem
- Governance & Compliance: Safeguarding the integrity and quality of data underpinning analytical initiatives, promoting a data-driven culture across the operations landscape. Establish and maintain appropriate governance processes to ensure compliance with requirements and internal standards.
- Experience: At least 8+ years with Master’s as Education background, 10+ years with Bachelors as Education background experience in the relevant domain.
- Knowledge of database management systems (e.g., DWH, EAP, SQL Server, Oracle).
- Proficiency in data analysis techniques and tools (e.g., SQL, SAS, Python and Pyspark programming).
- Proficient in Formulating Analytical methodology, identifying trends and patterns with data
- Strong analytical, problem-solving skills and ability to drive business outcomes.
- Data Science AI/ML Use case and applications experience
- Good understanding of the banking domain, banking products, and operations in banking.
- Excellent communication, interpersonal, and stakeholder management skills.
- Demonstrated ability to drive change and innovation.
- Ability to learn quickly and adapt to new tools and technologies.
- Proven ability to lead, motivate, and develop high-performing teams.