Data Analyst

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're looking for a highly motivated and detail-oriented Data Analyst to join our dynamic team. This is a fantastic opportunity to gain hands-on experience in data analysis, machine learning, and cutting-edge technologies like Large Language Models (LLMs). You'll work closely with our data science and business teams to extract valuable insights from complex datasets and contribute to impactful projects.

Roles & Responsibilities:

* The analyst would support EDAI Advisor Analytics team for data science initiatives

* Work closely with business leaders in US, and India counterparts to understand business problems, finalize scope, propose solutions and handle end-to-end execution

* Support ongoing initiatives related to reporting, predictive models in development and data exploration

* Build strong business relationships with business partners, stakeholders, Technology teams to ensure smooth execution and delivery of BAU projects

 

Key Responsibilities:

* Assist in collecting, cleaning, and processing large datasets using SQL and Python.

* Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.

* Develop, maintain, and enhance interactive dashboards using tools like Tableau or Power BI to communicate key metrics.

* Support the development and implementation of basic machine learning models.

* Help in evaluating and experimenting with Large Language Models (LLMs) for data-related tasks, support key GenAI initiatives

* Collaborate with team members to present data-driven insights and recommendations to stakeholders.

 

Qualifications:

* Education: Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is preferred.

* Experience: 1-3 year of experience in data analysis through internships, academic projects, or coursework.

* Basic knowledge of financial domains, including markets, instruments, or accounting principles.

* Experience with cloud platforms like AWS, Azure, or Google Cloud.

* Familiarity with version control systems like Git

 

Technical Skills:

 * Strong proficiency in SQL for querying and manipulating data from relational databases.

 * Solid programming skills in Python, including experience with libraries such as Pandas and NumPy.

 * Hands-on experience creating dashboards and visualizations using Tableau or Power BI.

 * Basic knowledge of Machine Learning concepts and algorithms (e.g., regression, classification, clustering).

 * A foundational understanding of Large Language Models (LLMs) and their potential applications.

 

Soft Skills:

 * Strong analytical and problem-solving abilities.

 * Excellent communication and teamwork skills.

 * A proactive attitude with a strong desire to learn and take initiative.

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.