Ameriprise Off Campus Drive 2021 | Data Analyst Process Trainee | Freshers | Haryana

We are looking for a driven individual with analytical mindset who is ready for an immersive, real-world experience. You should be a motivated team player who can maintain efficiency and accuracy when multitasking. To be a strong candidate for an this role, you should possess strong quantitative, analytical, programming, communication and problem-solving skills. You should be collaborative, trustworthy, receptive to feedback, and eager to learn. The candidate will be required to spend majority of time on ad-hoc analytics and reporting with occasional opportunities for advanced analytics projects

Responsibilities

• Working with Analytics internal teams and business partners to define and document business requirements
• Translating business requirements into Solutions
• Perform and deliver on complex ad-hoc business analysis requests
• Develop predictive models to support varied business objectives, as needed
• Development and execution of reports for program tracking, model validation, and other information-based solutions support
• Translate analytic output into understandable and actionable business knowledge
• Engage US counterparts to ensure solutions are appropriate as per business requirement and level of readiness
• Coordinate and prioritize business needs in a matrix management environment
• Documentation and communication of results and recommendations to external and internal teams
• Ensuring maintenance of requisite quality standards

• 0-12 months of experience in analytics
• Strong quantitative/analytical/Python programming and problem-solving skills
• Excellent knowledge of MS Excel, Power point and Word
• Strong and consistent academic performance
• Highly motivated self-starter with excellent verbal and written communication skills
• Ability to work effectively in a team environment on multiple projects and drive results through direct and in-direct influence
• Candidate should be willing to learn SAS, Python, AWS tools, Tableau

Preferred Qualifications

• Experience with AWS tools like Sagemaker, Redshift, S3
• Experience with Tableau
• Experience in predictive modeling
• Experience in SQL programming