Bajaj Allianz General Insurance
- Data Analysis: Conducting in-depth analysis of business data to identify trends, patterns, and correlations that can inform strategic decisions and improve business performance.
- Reporting and Dashboard Development: Creating and maintaining reports, dashboards, and data visualizations to communicate key performance metrics and insights to stakeholders across the D2c sales team and product heads.
- Data Modelling and Interpretation: Developing data models and frameworks to organize and structure data for analysis, ensuring data accuracy, consistency, and integrity. Interpreting data and translating findings into actionable recommendations with D2c Channel heads & stakeholders.
- Performance Monitoring: Monitoring key performance indicators (KPIs) and performance metrics to track progress towards business goals and objectives. Identifying areas of improvement and opportunities for optimization business based on data analysis.
- Requirement Gathering: Collaborating with channel heads and key stakeholders to understand their data and reporting needs, gathering requirements, and translating them into actionable tasks and deliverables.
- Data Governance and Quality Assurance: Ensuring data governance policies and standards are adhered to, including data quality, security, and compliance. Conducting data quality assessments and implementing measures to improve data quality and integrity.
- Cross-functional Collaboration: Working closely with cross-functional teams, including IT, business units, and Key stakeholders, to align BI initiatives with organizational goals and priorities. Collaborating with data & IT teams to optimize data infrastructure and accessibility.
- Training and Support: Providing training and support to business users on BI tools and platforms, helping them interpret and use data effectively to make informed decisions. Serving as a subject matter expert and resource for BI-related inquiries and issues.
- Continuous Improvement: Staying updated on industry trends, best practices, and emerging technologies in BI and analytics. Continuously seeking opportunities to improve processes, tools, and methodologies to enhance the effectiveness of the BI.