Ameriprise is Hiring Data Analyst | Gurugram & Noida | Early Career Professionals Can Apply

Job Description

Ameriprise India LLP is hiring Data Analysts for its Gurugram and Noida offices. This opportunity is ideal for fresh graduates and early-career professionals who are passionate about Data Analytics, SQL, Python, Machine Learning, Business Intelligence, Generative AI, and Data Visualization.

As a Data Analyst, you will work with global business and data science teams to analyze large datasets, build dashboards, support predictive analytics, and contribute to AI and Large Language Model (LLM) initiatives that drive business decisions.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲: Ameriprise India LLP
𝐑𝐨𝐥𝐞: Data Analyst
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Gurugram & Noida
𝐖𝐨𝐫𝐤 𝐌𝐨𝐝𝐞: Hybrid (3 Days Office, 2 Days Work From Home)
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Full-Time
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 1–3 Years and Fresher including (Internships, Bootcamps)

𝐀𝐛𝐨𝐮𝐭 𝐀𝐦𝐞𝐫𝐢𝐩𝐫𝐢𝐬𝐞

Ameriprise Financial is a leading global financial services company with over $1.5 trillion in assets under management, administration, and advisement. Through its India operations, the company delivers innovative financial, analytics, and technology solutions while providing employees with an inclusive, collaborative, and growth-oriented work environment.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As a Data Analyst, you will support business and data science initiatives by collecting, analyzing, and visualizing data, building dashboards, assisting in predictive modeling, and exploring Generative AI and Large Language Model (LLM) applications to deliver meaningful business insights.

Roles & Responsibilities

- Collect, clean, and process large datasets using SQL and Python.

- Perform exploratory data analysis (EDA) to identify business trends and insights.

- Develop and maintain interactive dashboards using Tableau or Power BI.

- Support predictive analytics and machine learning initiatives.

- Assist with Large Language Model (LLM) and Generative AI projects.

- Collaborate with business, technology, and data science teams.

- Present analytical insights and business recommendations to stakeholders.

- Support reporting, data exploration, and business analytics projects.

- Build strong relationships with global business partners.

- Ensure timely execution and delivery of analytics initiatives.

Qualifications & Eligibility

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- 1–3 years of experience through internships, academic projects, or professional work.

- Strong understanding of SQL and Python programming.

- Basic knowledge of Machine Learning concepts.

- Familiarity with financial markets or financial services is an advantage.

- Good analytical, communication, and teamwork skills.

Skills Required

- SQL

- Python

- Pandas

- NumPy

- Data Analysis

- Tableau

- Power BI

- Machine Learning

- Data Visualization

- Problem Solving

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

- Large Language Models (LLMs)

- Generative AI

- Predictive Analytics

- AWS

- Microsoft Azure

- Google Cloud Platform (GCP)

- Git

- Financial Analytics

- Business Intelligence

- Exploratory Data Analysis (EDA)

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐀𝐦𝐞𝐫𝐢𝐩𝐫𝐢𝐬𝐞?

- Work with a leading global financial services company.

- Gain hands-on experience in Machine Learning and Generative AI.

- Build expertise in SQL, Python, Tableau, and Power BI.

- Collaborate with global business and data science teams.

- Work on real-world analytics and predictive modeling projects.

- Enjoy a flexible hybrid work environment.

- Accelerate your career in Data Analytics and AI.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This role provides an excellent foundation for careers such as:

- Data Analyst

- Business Intelligence Analyst

- Data Scientist

- Machine Learning Engineer

- Analytics Consultant

- AI & GenAI Analyst

- Business Analyst

- Reporting Analyst

- Senior Data Analyst

- Data Analytics Manager

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

- B.E./B.Tech, B.Sc., M.Sc., MCA, M.Tech, and other Computer Science, IT, Statistics, Mathematics, or Data Science graduates.

- Early-career professionals interested in Data Analytics, Machine Learning, and Business Intelligence.

- Candidates with internship, academic project, or hands-on experience in SQL, Python, Tableau, or Power BI.

- Individuals passionate about data-driven decision-making, AI, and financial analytics.

- Aspirants looking for long-term career growth in Data Science, Analytics, and Artificial Intelligence.