Lead Data Analyst

Location: Gurugram, Haryana, India

Remote Type: Hybrid

Time Type: Full time

Job Description

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 Lead - Data Analyst for Reporting and Operations role in ABGD group, who can think strategically and interpret data. The role will be primarily responsible for managing intake process, perform A/B Test, Sales funnel analysis & providing insight on data using Python.

About the Role

We are looking for a Lead Data Analyst to join our Gurgaon team. This role is for someone who is a strong data scientist first someone who can dig deep into data, build sound statistical/ML models, and translate ambiguous business problems into clear, actionable solutions. Exposure to Generative AI is a plus, but the core of this role is rigorous, hands-on data science.

 

What You'll Do

Partner with senior stakeholders to understand problems, frame them as data science questions, and translate requirements into well-scoped, actionable solutions

Conduct extensive exploratory data analysis (EDA) to uncover patterns, validate assumptions, and identify the right modeling approach

Build, validate, and maintain machine learning models end-to-end from problem framing to deployment and monitoring

Continuously optimize existing models for accuracy, robustness, and business impact

Write clean, efficient, production-ready code in Python and SQL

Work with large-scale data using AWS SageMaker, Redshift/Snowflake, and S3

Apply critical thinking to challenge assumptions, validate results, and ensure models solve the actual business problem, not just a technically interesting one

Present findings and recommendations clearly to both technical and non-technical stakeholders

 

Must-Have Skills

 

5–7 years of hands-on experience in data science / applied ML

Strong critical thinking and problem-solving ability, comfortable challenging requirements and getting to the real business question

Deep data understanding and strong command over exploratory data analysis

Proficiency in Python (pandas, numpy, scikit-learn, etc.) and SQL 

Experience with AWS SageMaker for model building, training, and deployment

Hands-on experience with Redshift and/or Snowflake, and S3

Proven track record of taking models from concept to production and maintaining them over time

Strong ability to translate business problems into data science solutions and communicate results effectively

 

Good to Have

Exposure to Generative AI (LLMs, prompt engineering, RAG, fine-tuning, etc.)

 

Note: This role is primarily a Data Science position. Strong core DS/ML fundamentals will be weighted more heavily than GenAI experience.

 

What We're Looking For

Someone who is genuinely curious about data, rigorous in their approach, and comfortable owning a problem from raw data to business impact, not just building models in isolation.

 

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(2:00p-10:30p)AWMPO AWMP&S President's OfficeData

Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, military status, veteran status, marital status, pregnancy, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.