Senior Data Analyst

Ameriprise Financial — Gurugram, Haryana, India

About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US financial planning company headquartered in Minneapolis with a global presence and diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions, and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So, if you're talented, driven and want to work for a strong, ethical company that cares, take the next step and create a career at Ameriprise India LLP. Job Description We are seeking a high-performing, data-driven professional to support EMEA Distribution through advanced analytics, reporting, and automation. This role focuses on transforming data into actionable insights that enhance commercial decision-making and client engagement. The successful candidate will demonstrate strong analytical rigor, technical proficiency, and the ability to translate complex data into clear business outcomes. A collaborative mindset, intellectual curiosity, and commitment to continuous improvement are essential. Key Responsibilities Drive Commercial Insights: Partner with EMEA Distribution to deliver data-led insights that improve client engagement and business performance. Dashboarding & Reporting: Design and maintain scalable dashboards and reporting solutions to support strategic and operational decisions. Automation & Efficiency: Identify and implement automation opportunities to enhance productivity, data accuracy, and turnaround time. Advanced Analytics: Suppor

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