Note : If screened-in, you will be invited for initial rounds on 28th November 2026 (Saturday) in Hyderabad.
Job Responsibilities :
- We are seeking a highly skilled and experienced Senior Associate who will play a critical role in driving business intelligence and data analytics capabilities within our organization.
- The ideal candidate will have a strong understanding of data analysis, reporting, and presentation, with a proven track record of driving business insights and decision-making.
- Data Analysis and Reporting: Utilize various data sources, including databases and data warehouses, to analyze and report on key business metrics and trends.
- Business Intelligence: Develop and maintain dashboards, reports, and visualizations using Power BI, Excel, and other tools to provide insights and recommendations to stakeholders.
- Data Mining and Visualization: Apply data mining techniques to identify patterns, trends, and correlations in large datasets, and present findings in a clear and concise manner.
- Technical Skills: Leverage technical skills, including Python, SQL, and data analytics tools, to optimize data analysis and reporting processes.
- Collaboration and Communication: Work closely with cross-functional teams, including sales, marketing, and finance, to provide data-driven insights and recommendations.
- UPI and Payment Systems: Demonstrate understanding of UPI (Unified Payment Interface) and other payment systems and apply knowledge to analyze and report on payment trends and insights.
Skills & Qualifications :
- Education: Bachelor's degree in computer science, Engineering, or a related field.
- Experience: Minimum 5 years of experience in data analytics, business intelligence, or a related field.
Technical Skills :
- Proficiency in Power BI, Excel, and other data analytics tools.
- Strong understanding of SQL and database management.
- Familiarity with data mining and visualization techniques.
- Experience with Python and other programming languages.
- Strong understanding of UPI and payment systems.
Soft Skills :
- Excellent communication and presentation skills.
- Strong analytical and problem-solving skills.
- Ability to work in a fast-paced environment and meet deadlines.
Nice to Have :
- Certifications: Certifications in data analytics, business intelligence, or related fields.
- Industry Experience: Experience in the financial services or payments industry.
- Advanced Skills: Advanced skills in data analytics, machine learning, or related fields.