Senior Data Analyst

Description

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 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.

Key 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 Business 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

Required Qualifications

• Required Qualifications: Engineering Degree (BE/ BTECH) from a reputed institute
• 3-5 years of experience in analytics
• Strong SQL skills
• Strong Python programming and data manipulation skills
• Strong quantitative/analytical/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
• Knowledge of tools like PowerBI and/or AWS Athena etc

Preferred Qualifications

Understanding of Large Language Models (LLMs) and their potential applications.

In-Office Collaboration

We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least three (3) days per week, with flexibility to work from home two (2) days per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Full-Time/Part-Time

Full time

Timings

(2:00p-10:30p)

India Business Unit

AWMPO AWMP&S President's Office

Job Family Group

Data