Senior Business Data Analyst

Job Title: Senior Business Data Analyst Company: Ameriprise Financial Services, LLC Job Category: Data Science Roles & Responsibilities: 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. Job Description We are seeking a high\-performing, data\-driven professional to support EMEA Distribution through data refinement, governance, analytics, process automation, and AI\-enabled initiatives. The role will focus on transforming Distribution client data for trusted insights, strengthening stakeholder engagement, understanding business pain points, and enhancing commercial decision\-making through effective use of data and technology. Role Overview We are seeking a high\-performing, data\-driven professional to support EMEA Distribution through data refinement, governance, analytics, process automation, and AI\-enabled initiatives. The role will focus on transforming EMEA Distribution client data for trusted insights, strengthening stakeholder engagement, understanding business pain points, and enhancing commercial decision\-making through effective use of data and technology. Key Responsibilities Advanced Analytics: Support analytical initiatives, including trend analysis, forecasting, and business diagnostics, as aligned to business priorities. Basic to intermediate understanding of machine learning concepts, with a willingness to further develop applied analytics and AI capabilities. Work Location: Gurugram, Haryana, India Availability: Full time

The successful candidate will bring strong technical proficiency, a collaborative mindset, intellectual curiosity, and a commitment to continuous improvement, with the ability to deliver high\-quality outcomes in a fast\-paced business environment. Stakeholder Engagement: Build strong stakeholder relationships to understand requirements, prioritize initiatives, and deliver high\-impact solutions. Required Qualifications Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics). Strong proficiency in Python and SQL for data analysis, modeling, and automation. Preferred Qualifications Prior experience within financial services or asset management is advantageous but not mandatory. Key Skills: Data Science, Python, SQL, Machine Learning, Power BI, Tableau Salary: $1