Data Analyst

Reposted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
Junior
Fintech
The Role
Join the team as a Data Analyst to support EDAI Products Analytics, perform data analysis, and develop dashboards while collaborating on machine learning initiatives.
Summary Generated by Built In

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 Analysis 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.

Role:

* The analyst would support EDAI Products 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.

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.

Good to Have

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

* Experience with cloud platforms like AWS, Google Cloud.

* Familiarity with version control systems like Git

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

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.

Top Skills

AWS
GCP
Large Language Models
Machine Learning
Numpy
Pandas
Power BI
Python
SQL
Tableau
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The Company
Minneapolis, MN
16,649 Employees
Year Founded: 1894

What We Do

Ameriprise Financial has helped millions of clients feel confident about their financial futures for more than 125 years. Our network of approximately 10,000 financial advisors* delivers personalized financial advice to help clients reach their goals. We believe that with the right advisor, the right advice, and the right firm, life can be brilliant. Ameriprise has corporate locations throughout the U.S. and across the globe, and advisor offices in all 50 states. Learn how you can build your career at Ameriprise Financial. *Ameriprise Financial Q2 2020 Statistical Supplement All content on this page is provided for informational purposes only and should not be used as the sole basis for investment decisions. Ameriprise Financial cannot guarantee future financial results. Investment products are not federally or FDIC insured, are not deposits or obligations of, or guaranteed by, any financial institution, and involve investment risks including possible loss of the entire amount invested. By clicking on a hyperlink, you may be directed to a non-Ameriprise website. Be aware that the linked site will be subject to rules, regulation, and privacy and security provisions that are separate, and may differ, from Ameriprise Financial. Investment advisory products and services are made available through Ameriprise Financial Services, LLC., a registered investment adviser.

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