
Senior Analyst, Sales Analytics (NAI)
- Hyderabad, Telangana
- Permanent
- Full-time
- Ensure accurate and timely data reporting and analytics for distribution partners and internal stakeholders
- Analyze Institutional activity, transactions, assets, product performance data to identify trends, client behavior and performance metrics
- Utilize 3rd party data, such as eVestment, MMD, and FactSet for competitive analysis, performance benchmarking and client reporting
- Develop and maintain interactive dashboards and data visualizations using Tableau and Power BI to support strategic decision making
- Write complex SQL queries to extract and manipulate data from Snowflake and other data warehouses
- Conduct segmentation analysis to identify high potential clients and investment opportunities
- Automate data extraction, transformation and reporting processes to increase efficiency and accuracy
- Present data-driven insights and recommendations to stakeholders, translating complex analytics into clear and actionable insights
- Collaborate with cross-functional teams (sales, marketing) to gather requirements and deliver data driven insights
- Monitor and assess the impact of implemented solutions, continuously refining approaches based on feedback and results
- Serve as a liaison between stakeholders and data analytics team in all phases of projects
- Project manage the solution design and implementation process
- 3+ years of experience developing actionable insights and applying data analytics in a sales consulting setting in the asset management industry or financial services industry
- Hands-on experience as a data engineer, developing and applying data analytics and deployment
- Proficiency in Tableau and Power BI for data visualization
- Proven hands-on experience with 3rd party data for performance benchmarking, client analysis and competitive Insights
- Strong SQL skills, with experience working in Snowflake or similar cloud data warehouses
- Good understanding of data manipulation and transformation techniques
- Excellent analytical thinking, problem solving skills and attention to detail
- Familiarity with CRM and Sales performance systems (e.g., Salesforce)
- Proficiency in Python for data analysis and automation
- Undergraduate or advanced degree in a quantitative or Finance discipline (such as Statistics, Mathematics, Business Analytics) with focus on data analytics techniques
- Strong academic qualifications, including advanced understanding/coursework in database management and Data Science
- Competitive Compensation
- Flexible, Hybrid Work
- 30 days’ Annual Leave + Public Holidays
- Life Insurance
- Retirement Planning
- Group Personal Accident Insurance
- Medical Insurance for Employee and Family
- Annual Health Check-up
- 26 weeks Maternity Leave
- Paternal Leave
- Adoption Leave
- Near site Childcare Facility
- Employee Assistance Program
- Study Support
- Employee Stock Purchase Plan
- ESG Commitments and Goals
- Business Resource Groups
- Career Development Programs
- Mentoring Programs
- Invesco Cares
- Dress for your Day