Cheq Digital Hiring Drive 2024: Cheq Digital Hiring Drive 2024 for its Business Analyst. Cheq Digital Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelors or Masters degree in a related field. if you are interested, please apply as soon as possible.
Company Name: Cheq Digital
Role: Business Analyst
Location: Bengaluru
Experience: 1 – 4 years
Qualification: Bachelors or Masters degree in a related field
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Cheq Digital Hiring Drive 2024
Job Description:
- In this role, you will play a crucial part in steering the direction and application of analytic technologies, ensuring their ongoing relevance and effectiveness.
- Additionally, you will be tasked with developing key performance indicators (KPIs) that allow us to gauge operational performance and enhance overall business efficiency.
- As a Business Analytics Specialist focusing on Credit Card Operations, you will play a pivotal role in addressing complex challenges and enhancing business performance.
Requirements:
- Bachelors or Masters degree in a related field (e.g., Data Science, Business Analytics, Statistics).
- Proven experience in data analytics, preferably within the credit card or financial services industry.
- Proficiency in SQL for data manipulation, querying, and analysis.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., Python, R).
- Strong problem-solving skills with a strategic mindset.
- Excellent communication skills to convey complex analytical findings to non-technical stakeholders.
- Ability to work collaboratively in a dynamic, cross-functional environment.
- If you are passionate about leveraging data to drive business decisions, enhance customer experiences, and contribute to the success of Lending Operations, we encourage you to apply for this exciting opportunity.
Responsibility:
- Problem Solving: Identify, analyze, and solve intricate problems related to credit card operations using data-driven approaches.
- Dash boarding and Data Visibility: Develop and maintain comprehensive dashboards to provide real-time data visibility for key stakeholders.
- Customer Retention analytics: Implement strategies for customer retention based on data analysis and customer behavior insights.
- Customer Segmentation: Utilize advanced analytics to segment customers based on demographics, behaviors, and creditworthiness.
- Customer Analytics for Personalization: Leverage customer analytics to personalize experiences, ensuring tailored offerings and enhancing customer satisfaction.
- Risk Assessment: Develop and refine credit risk models, conduct risk assessments, and contribute to effective risk management strategies.
- Fraud Detection: Implement robust fraud detection systems and protocols, utilizing advanced analytics to identify and prevent fraudulent activities.
- Cross-Sell Analytics: Identify cross-selling opportunities through in-depth analytics and collaborate with marketing teams to implement targeted campaigns.
- Reward Cost Optimization: Optimize credit card rewards programs by analyzing costs, customer preferences, and program effectiveness.
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